Main Library of Warsaw University of Technology - Artykuł

About the Repository

Research Data Repository is a response to the growing needs of WUT employees and PhD students for open science. It enables the deposition of research data created during the execution of scientific projects funded by grantors such as NCN or the European Commission.

Research data can be deposited in the system in both open formats (under Creative Commons licences) and closed formats (e.g. due to embargoes, copyright or commercialisation of research results).

Research Data Repository enables WUT staff and PhD students to choose one of the following two options for depositing data:

• Research data deposited in BW: the author provides data files in addition to metadata. Datasets are assigned a persistent DOI identifier.
• Add research data – this option is used to make metadata of research data published in external research data repositories available in WUT Research Data Repository. Data in the Repository is subject to review by the data steward and data coordinators.

WUT Research Data Repository complies with the FAIR principles relating to the standard for storing and publishing research data:

1. Findable:
   • Each dataset is assigned a unique identifier (DOI) to facilitate its search and unambiguous identification;
   • Datasets deposited in the Repository are provided with detailed metadata, following the DataCite format. They describe the research data in a way that makes it easily findable;
   • The metadata is uploaded to the DataCite system for better dissemination and retrieval;
   • The resources are indexed by popular scientific search engines (e.g. Google Dataset Search);
   • Repository is registered with the global registry of research data repositories re3data.org.
2. Accessible:
   • Depositing data in the Repository ensures its long-term availability;
   • Data are made available according to the principle ‘Open as much as possible, closed as much as necessary’. It is possible to deposit research data both in the Open Access model, under Creative Commons licenses, and in the closed model.
3. Interoperable:
   • Metadata can be read and processed by humans or machines. It is possible to download metadata in different formats;
   • Repository uses controlled vocabularies for part of the metadata;
   • Research data records can be linked to the publications and projects that produced the research data;
   • Repository uses the recognised DataCite data description standard and open file formats, which enables easy exchange and processing of data by external systems.
4. Reusable:
   • The metadata contains detailed information about the provenance, context and quality of the data, allowing its reuse;
   • Repository provides a licence tagging facility, so it is clear under which conditions datasets can be reused;
   • Each record containing datasets is accompanied by a Readme file, available under a CC-BY licence.

Regulations for depositing research data

Glossary:

Depositor

a person posting metadata and data sets to the Research Data Repository. A depositor can only be a person with an active account in the WUT Base of Knowledge system (a person employed or studying at WUT).

Research data

data, collected, produced, observed during the research process, e.g. experimental notes, diaries, laboratory protocols, procedure descriptions, methodological descriptions, samples, artefacts, objects, text documents, questionnaires, surveys, audio or video recordings, photographs, images, database content (images, texts, audio and video recordings), software (scripts, input files), results of computer simulations, mathematical models, algorithms, etc.

Data set

an ordered collection of files, deposited in a repository.

Data steward

a person who verifies the correctness of data entered by authors before they are published, supporting depositors in uploading data to the Warsaw University of Technology Research Data Repository.

DOI

(Digital Object Identifier) - a digital identifier for an electronic document, permanently assigned to an object.

Embargo

a period of time during which research data cannot be made publicly available. The length of the embargo depends on the author's obligations under, for example, provisions in grant agreements or the time required to publish research results.

Metadata

information in text form that describes research data in such a way that it is easy to find, identify and also manage.

Research Data Repository

an integral part of the WUT Base of Knowledge. It is used to collect, deposit, share, archive metadata and research data, employees and PhD students of Warsaw University of Technology.

Regulations for collecting and depositing research data in the Research Data Repository of Warsaw University of Technology

1. Research data are collected in the form of:
   • a. data sets with their metadata;
   • b. metadata of data that have been published in external research data repositories.
2. It is recommended to deposit files in open formats. Examples of such formats:
   • a. text data - RTF, TXT, XML, ODT;
   • b. images - TIFF 6.0, PNG, JPG, SVG;
   • c. spreadsheets – CSV, TSV;
   • d. geospatial data - GeoTIFF, GPKG, GeoJSON, LASe;
   • e. archives - ZIP, TAR, GZIP, 7Z;
   • f. audio formats - FLAC (Free Lossless Audio Codec), MPEG-1 Audio Layer 3 (MP3), AIF (AIFF – Audio Interchange File Format), OGG (Ogg Vorbis), WAV (Waveform Audio File Format);
   • g. video files - AVI (Audio Video Interleave), MPEG-4, WMF (Windows Media Format).
3. It is acceptable to deposit data in other formats in cases where file conversion from specialised to open source software may affect data quality.
4. The responsibility for depositing research data lies directly with the authors.
5. The depositor assumes full responsibility for the research data posted and for any infringement of third-party copyright and property rights and related rights.
6. Before publishing research data in the Repository, the depositor is required to obtain permission to deposit data sets on the site from all persons and entities having intellectual property rights to the data set in question.
7. Deposited content may not:
   • a. infringe any copyright or other intellectual property rights, including but not limited to patents, trademarks, trade secrets, publicity rights or other rights of any third party;
   • b. contain threats, be offensive, harassing, defamatory, violate GDPR rules;
   • c. contain computer viruses or any other code, files or programs that are designed or intended to damage, restrict, interfere with the proper functioning of any software, hardware or telecommunications equipment.
8. The deposition of content that does not constitute research data is prohibited.
9. Research data submitted to the Repository that violate these Regulations will be deleted by the Repository administrator without the author's consent.
10. The deposited metadata and data sets are subject to verification by the data steward as to their completeness and correctness.
11. If information is received from the data steward that the deposited research data is incorrect, incomplete or in breach of the applicable regulations, the author is obliged to make the suggested corrections immediately.
12. Complete and verified data sets are assigned a DOI number by the data steward.
13. Date sets with assigned DOI numbers cannot be removed by the depositor.
14. Research Data Repository of Warsaw University of Technology allows depositors to version data sets. Each time a new version of research data is created, the depositor is obliged to indicate the changes with respect to the previous version.
15. A condition for depositing research data in the Research Data Repository of Warsaw University of Technology is reading and accepting these Regulations.

Regulations for sharing from research data in the Research Data Repository of Warsaw University of Technology

1. The model for sharing research data is determined by the depositor.
2. Within the Repository it is possible to make data sets available in the following models:
   • a. open – using Creative Commons or other open licenses (including the option to open the data after the embargo period expires)
   • b. closed – e.g., when an invention is filed for patent protection, due to national security, data protection or copyright restrictions.
3. Metadata of the research data in the Research Data Repository is made available without restrictions, under a CC0 license.

Regulations for using research data deposited in the repository

1. Users of the Research Data Repository may view research data metadata and download open data sets free of charge.
2. Use of research data made available under Creative Commons or other open licenses is permitted in accordance with the provisions of each license.

Additional information:

1. Warsaw University of Technology is the administrator of personal data within the meaning of applicable regulations.
2. Warsaw University of Technology reserves the right to amend the Regulations. If changes are made to the Regulations, Warsaw University of Technology will inform users of the change by posting the consolidated amended text on the WUT Main Library website.
3. Research data deposited in the Research Data Repository of Warsaw University of Technology may be processed, for example, in order to send information about them to external systems (indexing the contents of data repositories). System administrators are not required to notify data authors of this fact.
4. Warsaw University of Technology ensures long-term (at least 10 years) archiving of deposited data on its own servers, managed by WUT IT Centre.
5. Warsaw University of Technology Research Data Repository is supervised by WUT Main Library.

Instructions

Depositing research data in WUT BW

The following topics are presented in the information materials:

• Uploading metadata of the research data to the repository
• Mandatory metadata fields
• Adding datasets
• Selecting licences

Depositing research data in WUT BW

Editing of research data

The following topics are presented in the information materials:

• Editing files and metadata
• Changing the depositor
• Sending a record for verification
• Versioning
• Linking to publications
• Sending a link to as yet unpublished data

Editing of research data

Research data deposited in external systems

The following topics are presented in the information materials:

• Mandatory metadata
• Submitting a record for publication

Research data deposited in external systems

iThenticate

Please be advised that as of February 26, 2026, the iThenticate system has been updated from version 1.0 to iThenticate 2.0. Effective immediately, the new login link is: https://pweduithenticate.turnitin.co

The iThenticate program allows the verification of the originality of document (primarily in English) before publication by comparing it with open-access Internet resources and databases indexed by iThenticate. We do not recommend checking texts in Polish due to an insufficient reference database.

The programme is aimed at WUT researchers and PhD students - the number of accounts is limited.

You should use your account to check your own research papers (whether authored or co-authored).

Warsaw University of Technology has a limited number of check reports available. Each time a document is resubmitted, it counts as a new check; therefore, please use the system judiciously.

The results of the analysis are presented in the form of a report, which includes:

• similarity indices (for the entire document and individual sources), which specify the percentage of borrowed content found in the analyzed document.
• highlighted sections of the work that are identical to texts found in the comparison databases, along with their sources.

If there is no activity on the account for more than 3 months, the account will be deactivated, and the user will be notified via email. Significant exceeding of limits may result in action by the Program Administrator.

Please submit applications via the registration form (an email address in the @pw.edu.pl domain is required).

If you do not see an email with an activation link in your inbox:

please check the following folders: Spam / Promotions / Notifications / Other, if the email is not in any of the above folders, please contact the system administrator at BG PW: This email address is being protected from spambots. You need JavaScript enabled to view it..

For more information:

• iThenticate user guides
• Training videos

Grammarly

Grammarly Premium is a tool for correcting linguistic errors in English texts. Grammarly checks grammar, punctuation, style and spelling (see more info „Your Go-To Guide for English Grammar“)

Please submit your application to open an account via the registration form (an email address ending in @pw.edu.pl is required).

The number of accounts is limited within each user group.

In the event of inactivity on the account for more than 3 months, the account will be deactivated and the user will be informed by e-mail.

Grammarly allows you to use functionality that works directly when you write texts:

• in Word
• in a web browser
• as a desktop application for Windows and macOS
• and as a mobile app

The list of applications can be seen after logging in under the Apps tab (on the left-hand side of the screen).

BioRender

Is a tool for creating professional scientific illustrations to support research, teaching and publishing activities. It enables the creation of multi-coloured diagrams, charts and graphics for use in scientific publications, presentations, teaching materials and research projects.

The programme is aimed at research and teaching staff, as well as PhD students at Warsaw University of Technology. The number of available accounts is limited.

If an account remains inactive for a period of more than 6 months, the Library reserves the right to contact the user to verify whether they are still using the tool.

BioRender offers:

• over 50 000 pictograms from the fields of medical, natural and agricultural sciences
• over 5 000 ready-made templates
• icon libraries created by professional scientific illustrators
• tools for creating diagrams, charts, infographics and visual abstracts
• an AI module supporting the generation and modification of illustrations based on text commands (20 000 AI credits in the institutional pool, plus an additional one-off allocation of 50 AI credits for each user).

SciFlow

SciFlow is an advanced tool designed for creating and formatting scientific texts, including research articles, theses, and doctoral dissertations.

The tool offers a range of features that support authors at every stage of working on a document:

• Scientific text editor: The tool provides a dedicated editor that facilitates writing scientific texts, including features such as automatic formatting, handling footnotes, and bibliography management.
• Document templates: NIt offers ready-made templates, including manuscript templates for scientific journals, allowing easy adaptation of the document to the editorial requirements of the chosen publisher.
• Collaboration: The tool enables teamwork as well as commenting and editing texts in real time, while preserving the latest version of the document. Co-authors, supervisors, or other users (with the author’s permission) have direct access to the document and can comment on and revise it.
• Bibliography and citations: SciFlow is integrated with bibliography managers (including Zotero, Mendeley, Citavi, EndNote) and offers over 8,000 citation styles.
• Language correction: The tool supports creating scientific texts in any language; currently, language correction is available in English (LanguageTool) and German (Duden-Mentor).
• LaTeX integration: SciFlow works with the LaTeX markup language, facilitating the creation of advanced scientific documents.
• Document export: The tool allows exporting the final, professionally formatted text in various styles.

Using SciFlow helps save time on formatting and organizing the text, minimizes errors in citations and bibliography, facilitates communication with supervisors and co-authors, and ensures the document meets the requirements of publishers or scientific institutions.

SciFlow operates online and requires no additional software installation. It is accessible from various devices (computer, laptop, tablet) and enables collaboration among users from different institutions and countries.

To use SciFlow, please follow the personalized link https://www.sciflow.net/en/wut/start and register an account using an email address with the pw.edu.pl.

More information about the tool and how to use it can be found here:

• Webinars & Videos - Get started with SciFlow
• SciFlow - kanał YouTube
• Video Course - 30-minutowe wprowadzenie do SciFlow

Reference managers

Bibliography management programmes, known as reference managers, are tools that help to collect and manage data obtained from various sources about the materials used in the work, such as articles, books, chapters, websites, and others.

The use of such programmes is, above all, very convenient and time-saving when writing scientific or diploma theses. The advantage of reference managers is that the bibliographic data are entered into the programme only once and can be used for each subsequent article.

They allow automatic creation of bibliographic descriptions according to your own or selected style and the insertion of references and an appendix bibliography in literally a few clicks. No need to manually edit bibliographic descriptions anymore, or to think about the order of descriptions in the bibliography.

Among the most popular reference managers are:

• Zotero - Literature management programme
• Mendeley - Literature management software*
• EndNote - Literature management programme

Instruction materials on reference managers and learning tools

Change in the Mendeley software usage policy for users using the company/student MS Office software.

Until now, Mendeley Desktop software was used, which was a stand-alone desktop application (it had to be downloaded, installed and used in a local account). By decision of the software manufacturer, this version is no longer being developed and maintained. Alternatively, the manufacturer has made it possible to download and use the Mendeley Reference Manager tool, which is ultimately intended to replace Mendeley Desktop. Unfortunately, the MS Word plug-in dedicated to MS Office 365, for technical reasons, only integrates with cloud accounts (and not local accounts), hence the problem with its use in our University.

To ensure that staff/students can continue to work with Mendeley software, we recommend:

• For Microsoft Office 365 accounts in the cloud (student and doctoral accounts)
  • install Mendeley Reference Manager and the Mendeley Cite plug-in
  • annotation is only possible for documents in MS Word Online
• For local Microsoft Office 365 accounts (staff accounts): use the legacy version of Mendeley Desktop and install the MS Word plug-in (locally on the device in question) - until the problem is systemically resolved.
• If using versions of MS Office other than 365 (staff devices with earlier versions of MS Office)
  • install Mendeley Reference Manager and the Mendeley Cite plug-in
  • the plug-in will install locally on the device in question (may require assistance of the system administrator)

Engineering software

Computer terminals for WUT students and staff available In the Main Library are equipped with specialized engineering software:

• ArcGIS Pro 3.3
• MATLAB 2024A
• SOLIDWORKS 2024 SP01
• STATISTICA 13.3.721.1 64-bit (Polish language version)

The terminals also feature: MS Windows 11, MS Office Professional Plus 2019, Python, Visual Studio Community and Notepad++ text editor.

Introduction

Research data are all data that have been collected, generated, observed during the research process aimed at obtaining scientific results.

Research data are:

• raw data (which were obtained directly as a result of a research tool),
• processed data (compiled).

Examples of research data:

• experimental notes, logbooks
• laboratory protocols, procedure descriptions
• methodological descriptions
• samples
• artefacts, objects
• textual documents
• questionnaires, surveys
• audio or video recordings
• photographs, images
• database content (images, texts, audio and video recordings)
• software (scripts, input files)
• results of computer simulations
• mathematical models and algorithms

Open research data – is data produced in the course of research and used in scientific work, to which any user has free and unrestricted access. These data can be used, modified and shared legally.
Some data may be archived in a closed model, due to:

• commercialisation of research results, e.g. applying for patent protection for an invention
• national security
• protection of personal data
• copyright restrictions

Dataset – a structured set of data, made available in a given repository, that relates to a given topic and is provided with metadata describing its content.

• Metadata of research data

  Appropriate preparation, organisation and description of the data will enable its efficient retrieval.
  Data should be provided with metadata in such a way that the recipient knows what kind of data it is, how it was produced and under what conditions it can be used.

  There is no single universally applicable metadata description standard for research data, so it is a good idea to familiarise yourself with the metadata description standards used by the repository where you intend to deposit your data.

  The following fields may appear in the metadata description standards that you will need to complete:

  • title
  • source
  • creators (persons or bodies holding copyrights on research data)
  • date of production
  • format
  • language
  • information on openness (including licence and possible embargo)
  • related project
  • related publication, etc.

  These tools can help in choosing the most suitable standard:

  • FAIRsharing
  • Digital Curation Centre Standards
  • The Research Data Alliance (RDA) Metadata Standards

  Publicly available file formats should be used. For this purpose, it is advisable to use uncompressed file formats that do not require commercial software and use standard encoding (ASCII, Unicode).
  In some cases, the migration of data to an open format may result in the loss or distortion of some data/metadata. It is then acceptable to deposit data in closed formats.
  If the data is readable by commercial tools, but ones that are commonly used in the discipline, then it is also acceptable to deposit such data.
  Before preparing datasets, check that the repository allows the data to be deposited in the format of your choice.

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• File formats

  Data should be deposited in such a way as to ensure its long-term readability and accessibility. When sharing research data, consideration should be given to:

  • the software with which they will be readable
  • the sustainability of the chosen file formats.

  Publicly available file formats should be used. For this purpose, it is advisable to use uncompressed file formats that do not require commercial software and use standard encoding (ASCII, Unicode).

  In some cases, the migration of data to an open format may result in the loss or distortion of some data/metadata. It is then acceptable to deposit data in closed formats.

  If the data is readable by commercial tools, but ones that are commonly used in the discipline, then it is also acceptable to deposit such data.

  Before preparing datasets, check that the repository allows the data to be deposited in the format of your choice.

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• Sharing research data

  Data should be open as much as possible and closed as much as necessary. To help researchers prepare and share data appropriately, FAIR principles have been developed, according to which data should be:

  Findable – easy to find; the dataset must be provided with metadata such that it is searchable by the relevant tools available in the repository

  Accessible – (at least down to the metadata level) to anyone having access to Internet;

  • availability in FAIR does not mean open access without restriction; it means that the exact conditions under which data are made available and reusable are specified through metadata

  The following open licences are worth using:

  • Creative Commons licenses
  • GNU free software licenses
  • Open Data Commons database licenses

  Metadata should be available even if the dataset has been moved or deleted.

  Interoperable – data must be described to an appropriate standard and using a correct methodology; they should also be deposited in formats that allow them to be read and processed

  Reusable – this means that the description or the datasets themselves should contain information on the origin of the data, together with the entire methodology of data extraction; the possibility of re-use also requires that the licence under which the data have been shared and can be processed is indicated.

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• Repositories

  Research data should be collected and made available in institutional, national or international repositories.
  When selecting a repository, the following should be taken into consideration:

  • Under what conditions will the data be stored?
  • How will the data be secured?
  • Does the repository support a discipline-specific standard for metadata description?
  • Does the repository ensure the assignment of an identifier, e.g. DOI, to datasets (this translates into better retrieval of data)?
  • Is it possible to link the dataset to authors using identifiers, i.e. ORCID?
  • Are other researchers in the discipline using the same repository?
  • The cost of depositing data (check whether your chosen repository applies an additional fee, the so-called Data Processing Charge, or whether depositing data is free of charge)

  When choosing a repository, it is also worth using the Register of Research Data Repositories. This is a global register of research data repositories from all scientific disciplines.

  Some of the most popular research data repositories today are:

  • WUT Data Repository –
  • RepO – Repsitory for Open Data D– a national repository created as part of the Open Science Platform. It allows depositing so-called small data. Use of the service is free of charge.
  • Zenodo – an OpenAIRE project, supporting open access and data movement in Europe. The repository has been developed with EU funding. It complies with the FAIR principles. There is a limit of 50 GB per dataset.

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Data Management Plan (DMP)

DMP is a document required for grant applications under Horizon 2020 and its successor Horizon Europe programmes, and in National Science Centre competitions.
The plan should describe what data applicants will use in the course of their work:

• How will the data be produced (e.g. will it be self-generated or purchased, etc.)?
• Who will have the rights to the data?
• Will the data be made available to other users and under what conditions?
• Where will the data be stored?
• How will the data be described?

Please take a look at the tabs:

• DMP in NCN programmes
• DMP in the HORIZON programme

The Reference and Bibliometric Analysis Department is consulting WUT staff on the correctness of research Data Management Plans prepared for submission. Please contact us by email:

• Magdalena Maciąg: This email address is being protected from spambots. You need JavaScript enabled to view it.
• Monika Gajewska: This email address is being protected from spambots. You need JavaScript enabled to view it.

Creating a DMP is a complex process, each plan is different, so the following free tools can be useful in the creation of a DMP:

• DMPTool (US) – contains examples of DMPs. It allows you to prepare DMP templates tailored to the requirements of US grantors
• DMPonline (UK) – a tool to facilitate work with DMPs, allowing the creation of templates
• DSW - Data Stewardship Wizard – a tool to facilitate work with DMPs, allowing the creation of templates
• The Data Curation Center – a service from a UK institution specialising in research data management. Among other things, it provides: ready-made data management plans, guides, guidelines and information on metadata

DMP in NCN programmes

A Data Management Programme (DMP) is prepared at the grant application stage:

• A template is available for the plan to be submitted
• The template is divided into 6 parts - each part contains a set of questions. The individual fields can be up to 1,000 characters including spaces (except for point 2.1 - where the limit of 2,000 characters applies)
• The plan is subject to an expert evaluation at the final report assessment stage. The evaluation will consist in comparing the plan in the application with its implementation

The DMP may be subject to change during the course of the project:

• It is recommended to update the Data Management Plan during the project duration
• There is no need to inform NSC about changes in DMP
• The final report should describe the actual state of data in the project - as of the project completion date. It may be different than initially planned
• DMP should be prepared in English (excluding thumbnails)

The National Science Centre template consists of the following elements:

1.1 Data description and collection or re-use of existing data
In this section you should answer the following questions:

• How will new data be collected or produced and/or how will existing data be reused?
• How will the data be controlled and documented?
• How will the files be organised and their different versions managed?
  
  See example

  The reaction of hydrodechlorination of 1,2-dichloroethane (1,2-DCE) will be carried out at atmospheric pressure, in a glass flow reactor equipped with a fritted disk to place a catalyst charge. Prior to reaction, the catalyst will be reduced in flowing hydrogen (30 cm3/min), ramping the temperature from 20 to 600 °C (at ∼15 °C/min) and kept at 600 °C for 1 h. All reactions will be followed by gas chromatography (HP 5890 series II with FID 5% Fluorcol/Carbopack B column (10 ft) from Supelco). The results of GC analysis will be elaborated using HP ChemStation (software). XRD studies of Ni–Ru/SiO2 catalysts at various stages of their biography (after calcination, after reduction, and after hydrodechlorination) are also planned to furnished useful information. XRD experiments will be performed on a standard Siemens D5000 diffractometer using Ni-filtered CuKα radiation. Those experiments are planned to do in an external laboratory. The data set will consist of xml files and description of the methodology (if the versioning happens during the research, all versions will be available in the set).

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1.2 What data (for example the kinds, formats, and volumes) will be collected or produced?
In this section you should answer the following questions about the planned format and volume of data:

• What type of data will it be (e.g. documents, spreadsheets, audio files, videos, databases, source code)?
• What format and volume the data will be in (the file format can be anything, the most important thing is to choose a format that provides universal access and openness. Open and standard formats should be considered first)?
• Whether and how will the data be encoded for storage?
  
  See example

  Results from ChemStation will be exported into XML files. The data set will have up to 10 GB size. The data does not require additional encoding. XRD analysis will be shown on pictures and graphs in jpg format.

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2. Documentation and data quality
To be specified:

• The type of metadata used to make it easier for users to find them
• Is the data machine-readable?
• What international standards or schemes (i.e. Dublin Core, DDI) will be used to structure metadata?
  
  • See example 1

    Data and their associated metadata will be deposed in a public repository, Zenodo. The data will be stored with a "readme" file and clear folder structure and filename descriptions. Metadata are retrievable by their identifier using a standardized communication protocol. The repository is registered in the Directory of Open Access Repositories (OpenDOAR). Zenodo registers DOIs (via DataCite) for all deposited records. In Zenodo, metadata meets one of the broadest cross-domain standards available - DataCite's Metadata Schema. The following additional article level fields are supported: journal title/volume/issue/pages, conference title/acronym/dates/place/website, book publisher/place/ISBN/title/pages, alternate persistent identifiers. Results from ChemStation will be exported into XML files - which is a machine readable format. Results of XRD analysis will not have a machine readable format because of its specificity (jpg format).

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  • See example 2

    The data will be stored in Dryad repository. The data will be stored with "readme" file and clear folder structure and filename descriptions. The description of the "read me" files will be prepared in a consistent and descriptive manner following the repository rules. Dryad welcomes the submission of data in multiple formats to enable various reuse scenarios. Default metadata entry form is based on fields from the metadata schema of the DOI issuing agency, DataCite. Recommended minimum content for metadata in this repository is: title of the dataset, institution name, address, email information for the principal investigator (or the person responsible for collecting the data), associate or co-investigators, contact person for questions, date of data collection (can be a single date, or a range), information about geographic location of data collection, keywords used to describe the data topic, language information, information about funding sources that supported the collection of the data. Results will be exported into XML file - which is a machine readable format. Results of XRD analysis will be uploaded in (jpg format).

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3. Storage and backup during the research process
To be specified:

• How will the data be stored during the research process?
• What are the back-up procedures?
• Where and how will the data be stored and who will have access to it?
• How will data security and protection of sensitive data be taken care of during the research?
• Would any other, additional documentation (e.g. any information on procedures, etc.) be necessary to reuse the data?
• Will backups be made and how? Indicate how often they will be made, by whom, on what media and where they will be stored
  
  See example

  Only researchers involved in survey will have access to the collected data. Access to the software will be protected with login data. File access privileges are defined on a per user basis for data files, methods, sequences, and results. The data will be stored on well-protected laptops (with up-to-date firewalls and virus/trojan protection) and servers (university servers). Loss of data will be prevented by making regular backups (each month). The backups will be stored in the secure faculty and/or institute storage that is in place for this specific purpose, to minimize the risk of unauthorized access.

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4.1 Issues related to the processing of personal data
To be specified:

• Has there been any processing of personal data?
• How will compliance with personal data and data security legislation be ensured?
  
  See example

  The survey does not assume using any of the personal data.

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4.2 Legal requirements, codes of conduct
To be specified:

• Who will be the owner of the data?
• Which licenses will be applied to the data?
• Will there be restrictions on re-use of data?
• Do you need to seek copyright clearance before sharing data?
  
  • See example 1

    XRD studies of Ni–Ru/SiO2 catalysts are planned to do in the external laboratory. All necessary agreements (including copyright transfer) will be signed to ensure legal rights to use the data in this project. The data set will be opened to all users under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. More information about the licensee can be found on the European Commission webpage. Specifically, the research data will validate the results presented in the published scientific paper.

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  • See example 2

    The survey team will have all rights to the data. All necessary agreements will be signed before depositing the data in repository. The data will be released to the public domain. All files submitted to Dryad must abide by the terms of the Creative Commons Zero (CC0 1.0).

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5.1 Data sharing and long-term preservation
When and how will project data be shared?

• Are there possible restrictions to data sharing or embargo reasons?
• Are there any barriers and constraints to making the research data fully or partially accessible (e.g. from the publisher of the article)?
• Does data sharing require the consent of project participants?
  
  See example

  The data will be available at the same time as the paper will be published. We do not assume any limitations and obstacles preventing full or partial data disclosure. Sharing the data will not inquire any additional consent of the project participants.

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5.2 Data selection:
To be specified:

• What procedure would be used to select data to be preserved?
• What repository will you use? Does this repository comply to the FAIR Data Principles?
  
  • See example 1

    The data that will be deposited will be selected in such a way that other scientists can repeat the survey. They will support and illustrate all information from the journal article that will be published. Data and their associated metadata will be deposited in a public repository, Zenodo Repository. This repository meets all FAIR requirements.

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  • See example 2

    The data and their associated metadata will be deposited in Dryad repository. All datasets in Dryad are indexed by the Clarivate Data Citation Index, Scopus, and Google Dataset Search. Each dataset is given a unique Digital Object Identifier or DOI. This repository meets all FAIR requirements. Dryad has a team of curators who check every submission to ensure the validity of files and metadata. After deposing the data in Dryad, the bibliographic description of the data will also be deposited in Institutional Repository (with a link to the Dryad repository and the data's DOI number). The deposited data will be selected in such a way that other scientists can repeat or fully understand the survey.

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5.3 Software tools needed to access the data
To be specified:

• Will potential users need specific tools to access and (re)use the data?
  
  See example

  During the survey, open data formats are planned to be used (xml or jpg). Users will do not need any specific software to read the data.

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5.4 Unique identifiers (e.g. DOI)
To be specified:

• How will the application of a unique and persistent identifier (such us a Digital Object Identifier (DOI)) to each dataset be ensured?
  
  • See example 1

    The data will be deposited in Zendodo Repository. To every upload in Zenodo is assigned a Digital Object Identifier (DOI).

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  • See example 2

    The data will be deposited in Institutional Repository. This repository does not assign DOI to data sets. However, in the metadata scheme used there, there is a field for it. To meet all FAIR requirements, the DOI costs will be covered from the project budget. The DOI will be filled in in the repository during uploading the datasets and metadata.

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6.1 Data management responsibilities
To be specified:

• Who will be responsible for data management (i.e. who will be the data steward)?
  
  • See example 1

    The Project Manager will take over the main responsibilities related to the data management process. The Institute does not provide additional staff to support research data management throughout the duration of the project. The main tasks of the project manager in this area will include: taking care of data quality, creating data processing procedures in the laboratory, naming files, creating backups and their appropriate storage, long-term data archiving in the repository and taking care of this data after the end of the project (adding new versions). The Project Manager will have an additional person to help: Assistant Project Manager. He will also be involved in deposing data and sharing of the project results. He will be responsible for periodically checking if the backups are made on an ongoing basis and properly stored. In addition, the Project Manager is obliged to transfer the data to the other members of the project when any of the team members leaves the team. Both the Project Manager and the Assistant will be responsible for checking that the DMP is being followed.

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  • See example 2

    The person responsible for the data management process is the supervisor of the whole project, the same person will be responsible for DPM implementation, updating, and verification. An additional member of the staff will also be assigned to make backups and data corrections during the project. The main tasks will include: taking care of data quality, creating data processing procedures in the laboratory, creating backups and their appropriate storage, long-term data archiving in the repository, and taking care of this data after the end of the project (adding new versions).

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6.2 What resources will be dedicated to managing the data and ensuring that the data is FAIR?
To be specified:

• What are the costs of ensuring FAIR standards in the project and how they will be covered?>
  • See example 1

    The data will be deposited in a free repository. If necessary, devices for data backup will be purchased (2 external 4TB drives. The cost of one drive is PLN 420).

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  • See example 2

    The main costs for ensuring FAIR principles in the project are for the deposited data in Dryad Repository. Dryad charges excess storage fees for data totaling over 50GB. For data packages in excess of 50GB, submitters will be charged $50 for each additional 10GB, or part thereof. (Submissions between 50 and 60GB = $50, between 60 and 70GB = $100, and so on).

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The Reference and Bibliometric Analysis Department is consulting WUT staff on the correctness of research Data Management Plans prepared for submission. Please contact us by email:

• Magdalena Maciąg: This email address is being protected from spambots. You need JavaScript enabled to view it.
• Monika Gajewska: This email address is being protected from spambots. You need JavaScript enabled to view it.

See also:

• NCN guidelines for applicants to complete the DMP form
• Data Managemant Plan - FAQ
• Example DMPs
• Communiqué on the relaxation of NCN’s Open Access Policy

DMP in the HORIZON programme

The first version of the DMP should be submitted once the project has been approved and funding has started (within the first 6 months of the start of the project):

• A template of the plan to be submitted is available - the template is a set of questions to be answered
• The DMP needs to be updated on an ongoing basis - if significant changes occur (e.g. decision to file a patent, need to make research confidential, etc.)
• Costs related to open access to research data under Horizon 2020 are eligible for reimbursement during the course of the project, under the terms of the H2020 grant agreement, in particular Article 6 and Article 6.2.D.3
• The plan should be prepared in English

The DMP should include the following elements to address specific questions:

Data Summary

• What is the purpose of data collection/generation?
• What types and formats of data will be collected/generated?
• What is the origin of the data (will we generate it ourselves or use existing data)?
• Who will have the rights to the data - is it necessary to conclude agreements on the use and dissemination of the data?
• What is the expected size of the data?
• What will be the methodology of data extraction?
• Will the data be produced once or continuously?
• Will the data need to be versioned?
  
  See example

  An online survey system will be used to collect data from the respondents. The data will be interpreted and used for writing a scientific paper. The survey will be conducted by using the LimeSurvey tool. LimeSurvey is a free software. It will be downloaded and installed on the University server to ensure the data safety. Access to the software will be protected with login data. Only researchers involved in the survey will have access to the collected data. The survey will be conducted anonymously. We do not assume collecting any personal data which need to be protected. The researchers will have all legal rights to the survey output. The data will be stored on the University server in the Lime Survey software until the end of the survey. When the survey has been completed, all data will be transformed into the csv. (comma-delimited file). All questions from the questionnaire will be transferred into the text file (.odt). The survey methodology will be written and saved in text format. The data set will consist of those three files. The data set will have up to 50 GB. As the data dimensions are relatively low, no new specialist processing or storage will be required.

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FAIR data (findable, accessible, interoperable and reusable)

• To what extent will the data comply with FAIR principles (findable, accessible, interoperable and reusable)?
• With which metadata description format will the datasets be described?
• Will they be assigned a unique identifier, e.g. DOI?
• Will the data be placed in a publicly accessible repository / service and made available to other users? If so, under what licence?
• Will reading the data require additional software (how and with which tools will it be readable)?
• How long will the data be available in the repository?
• Do the publishers of the journal in which the research results will be described require research data to be included with the article?
• For more on the FAIR principles, see Sharing research data
  
  See example

  The data and their associated metadata will be deposed in a public repository Zenodo. This repository meets all FAIR requirements. (Meta)data are assigned a globally unique and persistent identifier. A DOI is issued to every published record on Zenodo. Zenodo's metadata is compliant with DataCite's Metadata Schema minimum and recommended terms, with a few additional enrichments. Metadata of each record is indexed and searchable directly in Zenodo's search engine immediately after publishing. Metadata of each record is sent to DataCite servers during DOI registration and indexed there. Metadata for individual records as well as record collections are harvestable using the OAI-PMH protocol by the record identifier and the collection name. Metadata is also retrievable through the public REST API. Data and metadata will be retained for the lifetime of the repository. This is currently the lifetime of the host laboratory CERN, which currently has an experimental program defined for the next 20 years at least. Metadata are stored in high-availability database servers at CERN, which are separate from the data itself. Metadata use a formal, accessible, shared, and broadly applicable language for knowledge representation. The data set will open to all users under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. More information about the licence can be found on the European Commission webpage. Sharing of the data will follow the principle "as open as possible, as closed as necessary". Specifically, the research data will validate the results presented in a published scientific paper. The data will be available at the same time as the paper is published.

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Allocation of resources

• What are the costs associated with meeting the FAIR standard?
• What will be the costs associated with storing and sharing the data (will the data be shared in a paid service and what will be the cost)?
• Who will be responsible for data management in the project?
  
  See example

  In Zenodo, the content may be uploaded free of charge. The person responsible for managing the data and creating metadata compatible with the standard used in Zenodo Repository is the supervisor of the whole project, namely, Prof. Marcin Sosnowski.

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Data security

• What rules will be in place to ensure data security, including data recovery (in case of data loss)?
• If sensitive data will be collected during the project, how will it be secured?
• Will the data require additional processing to ensure its anonymity?
• Does the repository / data storage facility meet basic security principles?
  
  See example

  Regarding the secure storage of the data, the project will use an architecture based on cloud services to store the data. The used services provide the functionalities needed to address secure storage and data security. The questionnaire will be available to respondents for 3 months. Each week, it will be sent to another respondents group. Each week, a copy of the data will be created, transformed into csv. and then put into the cloud. In case of unusual situation or losing data, the .csv file can be uploaded to the LimeSurvey. Access to the LimeSurvey tool will also be protected with login data (username and password). Only researchers will have access to this tool.

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Ethical aspects

• Are there any ethical or legal issues that may affect data sharing?
• If personal questionnaires were used, was respondents' consent to the sharing and long-term storage of data taken into account?
  
  See example

  The questionnaire used in this survey will contain an obligatory clause with the information about the purpose of the survey. All respondents will be informed that their answers will be interpreted and used for gathering more knowledge about social behavior. Respondents will also be ensured that their personal data will not be collected or shared.

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Other issues

• Do you use specific data management procedures (e.g. national / project / university guidelines)? If yes, please specify which procedures you use.

The Reference and Bibliometric Analysis Department is consulting WUT staff on the correctness of research Data Management Plans prepared for submission. Please contact us by email:

• Magdalena Maciąg: This email address is being protected from spambots. You need JavaScript enabled to view it.
• Monika Gajewska: This email address is being protected from spambots. You need JavaScript enabled to view it.

See also:

• FAIR Data Management in Horizon 2020
• Example DMPs

Journals indicators

Selected indicators for scientific journals evaluation:

• Essential indicators:
  • Impact Factor
    “The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years”. For more information about IF see Thomson Reuters website.
  • Hirsch index
    The index h is defined as the number of papers with citation number >= h, as a useful index to characterize the scientific output of a researcher. An index to quantify an individual’s scientific research output.” It can be also used for journals’ evaluation. The h-index was developed by J.E. Hirsch and published in Proceedings of the National Academy of Sciences of the United States of America 102 (46): 16569-16572 November 15 2005.
  • Index Copernicus
    This evaluation system includes selected journals from STM (Science, Technology, Medicine). It shows the rank of journals based on about 30 parameters in five categories:  scientific quality, editorial quality, international availability, market frequency, regularity and stability, technical quality. The IC Journal Master List – contains currently over 8,000 journals from all over the world, including 700 journals from Poland. The journals registered in this database underwent rigorous, multidimensional parameterization, proving high quality. The Ministry of Science and Higher Education acknowledged the IC Journal Master List by placing it on the list of scored databases. The journals indexed in IC JML get additional points during the Ministry’s evaluation process.
• Additional indicators:
  • SNIP
    Source Normalized Impact per Paper - “SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a given  subject field. It helps you make a direct comparison of sources in different subject fields.”
  • SJR
    SCImago Journal Rank- ”SJR is weighted by the prestige of the subject field, quality, and reputation of the journal – they all have a direct impact on the value of a citation.”

Sources of the indicators described above:

• Journal Citation Reports - Online Access to JCR (since 1997) on Web of Science
  • Journal Citation Reports (JCR) Science Edition
  • Journal Citation Reports (JCR) Social Sciences Edition
  The current list of journals with the IFs is published mid-year of the following year.
  When looking for JCR database, choose "Additional Resources" after entering the platform ISI Web of Knowledge.
• Master Journal List - Master Journal List is in Poland commonly called „lista filadelfijska”. The Master Journal List includes all journal titles covered in scientific products of Thomson Reuters, available on the ISI Web of Knowledge platform, among others in Web of Science (WoS) database. The Master Journal List is than broader than the list of journals available both in WoS and in JCR database.
  There is no information on Impact Factor values in the Master Journal List
• List of the Ministry’s scored journals - The Ministry of Science and Higher Education publish a list of scored journals once a year.
• INDEX COPERNICUS JOURNALS MASTER LIST (JML) - Current values of Index Copernicus (IC) factors for individual titles, estimated rates for the next year, journal’s publishing address, URL journal’s address, language of publication, availability in international databases). Data are available only for authorized users.
• Scopus - It is an abstract and citation database where the number of citations, the value of h-index (Hirsch index) can be found (publications since 1996). It is also possible to compare scientific journals using the Journal Analyzer feature.

Where to find citations?

Selected indicators for research output evaluation:

• number of publications
• number of citations
  • total number of citations
  • average number of citations per one publication
• Hirsch index. The index h is defined as the number of papers with citation number higher or equal to h. It is a useful index to quantify an individual’s scientific research output.  The h-index was developed by J.E. Hirsch and published in Proceedings of the National Academy of Sciences of the United States of America 102 (46): 16569-16572 November 15 2005.

Basic services providing information about citation count of the articles published in scientific journals:

• WoS (Web of Science)

  Web of Science Core Collection provides researchers, administrators, faculty, and students with quick, powerful access to the world's leading citation databases. Authoritative, multidisciplinary content covers over 12,000 of the highest impact journals worldwide, including Open Access journals and over 150,000 conference proceedings.
  It includes:

  • Science Citation Index Expanded / since 1945
  • Social Sciences Citation Index / since 1956
  • Arts & Humanities Citation Index / since 1975
  • Conference Proceedings Citation Index / since 1990
  • Book Citation Index– Science / since 2005
  • Book Citation Index– Social Sciences & Humanities / since 2005

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• Scopus

  Scopus is a bibliographic database that includes citation count and h-index  for articles published after 1996.

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• Google Scholar Citations

  Google Scholar Citations provides a simple way for authors to keep track of citations of  their articles. You can check who is citing your publications, graph citations over time, and compute several citation metrics. You can also make your profile public, so that it may appear in Google Scholar results when people search for your name.

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• Publish or Perish

  Publish or Perish is a software program that retrieves and analyzes academic citations. It uses Google Scholar to obtain the raw citations, then analyzes these and presents some statistics.

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Introduction

Elsevier open access publishing programme under the national licence

Springer open access publishing programme under the national licence

The open access publishing programme was relaunched on 24 April 2026 with a quota of 1 381 articles for 2026. From this year onwards, authors can choose the subscription model in the Publishing and rights form (although we encourage authors to opt for open access). The publisher does not provide for the retroactive inclusion of articles; only articles accepted for publication after the programme’s launch are eligible. (information as of 25 April 2026).

An open-access publishing programme under the ACM (Association for Computing Machinery) consortium licence

Open access publishing programme under the ACS consortium licence

The ACS Open Access Publishing Program has been resumed with a quota of 468 articles for 2026. The program covers articles accepted for publication in 2026.

Articles published under the subscription model in ACS hybrid journals in 2026 before the program was launched may be converted to the Open Access model under the program („retroactive conversion”). ACS has provided ICM with a list of articles eligible for retroactive conversion, and by June 25, ICM will send corresponding authors a proposal to convert these articles to the Open Access model. ICM cannot be completely certain that the list provided by ACS is exhaustive. Therefore, authors who would like to take advantage of the retroactive conversion but do not receive such a proposal by June 25 may contact the program coordinator at ICM at This email address is being protected from spambots. You need JavaScript enabled to view it.. Retroactive conversion does not apply to Open Access articles published in ACS hybrid or fully Open Access journals in 2026 before the program was launched at the authors’ expense, as it is not possible to include these articles in the program or reimburse the costs incurred by the authors. (information as of 16 June 2026.)

Open access publishing programme under the RSC consortium licence

The programme is being continued in 2026 with no limit on the number of articles.

Open access publishing programme under the Emerald consortium licence

The programme was launched with a quota of 2 articles for 2026.

Open access publishing programme under the IOP consortium licence

The program operates with an unlimited article quota.

Science open access publishing programme under the national licence

The programme is being continued uninterrupted in 2026 with a new quota of 10 articles. The programme may be suspended if, in the first quarter of 2026, the Ministry of Science and Higher Education does not award funding for the Science Advances licence for 2026. In 2025, the programme was launched on 28 April 2025 with a quota of 10 articles. (information as of 13 January 2026).

IoP

An open publishing programme under IOP consortium licence

Once the Ministry of Science and Higher Education has granted funding, a new three-year agreement will be signed with the IOP. The publisher has decided to continue the publication programme in January, February and March, and if the Ministry of Science and Higher Education has not made a decision by the end of March, it will either extend the programme or offer the possibility of retroactive activation of articles published under the subscription model before the new agreement for 2026-2028 is signed (updated on 18.03.2026).

Authors eligible for the programme:

• A corresponding author affiliated with Warsaw University of Technology. It is recommended to provide an e-mail address in the institution's domain (@pw.edu.pl) in the publication process.

The programme covers:

• hybrid and fully open access IOP journals and
• all types of publications

The programme allows open access publication without charge:

• under a CC-BY licence
• an unlimited number of articles accepted for publication in the current year
• the pool is not separated by institution and articles are included in the programme in the order in which they are accepted for publication.

The IOP identifies articles eligible for the programme based on the affiliation provided by the corresponding author in the form when submitting the manuscript to the journal and, once the article has been accepted for publication, sends information about the article to ICM. After verifying that the appropriate affiliation is given in the article, ICM confirms the article's inclusion in the programme. Under the new system introduced by IOP in 2021, the author fills in an additional form either during the review process or immediately after acceptance of the article. In this form, the author has the option to choose OA publication within the programme or with copyright. If the author opts out of OA publication or notifies the publisher that they wish to cover the costs from another source, the article is not included in the programme. Authors who do not receive a proposal for inclusion in the programme with their accepted article can submit to ICM at This email address is being protected from spambots. You need JavaScript enabled to view it. attaching the page(s) with the title, authors and affiliations from the accepted manuscript. Information about the programme is also available on the publisher's website.

Science

Science open access publishing programme under the national licence

The programme will continue uninterrupted in 2026 with a new pool of 10 articles. The programme may be discontinued if, in the first quarter of 2026, the Ministry of Science and Higher Education does not grant funding for the Science Advances licence for 2026. In 2025, the programme was launched on 28 April 2025 with a pool of 10 articles. (updated on 13 January 2026).

Authors eligible for the programme:

• A corresponding author affiliated with Warsaw University of Technology. It is recommended to provide an email address in the institution's domain (@pw.edu.pl) in the publication process.

The programme is an addition to the national licence for access to the Science journal for 2019-2021.

The Science journal operates on a subscription model only, with a separate Science Advances journal for open access publishing.

The national Science licence fee funded by the Ministry of Education and Science covers the cost of publishing up to 10 articles from Poland per year in the Science Advances journal. The offer is available to corresponding authors affiliated with Polish institutions covered by the Science licence who have indicated this affiliation on the title page of the article. The publisher himself identifies such articles, but corresponding authors whose articles have been accepted for publication may additionally contact the ICM at This email address is being protected from spambots. You need JavaScript enabled to view it. to take part of the programme.

Open access publishing programme under the T&F consortium licence

The program has been closed due to the exhaustion of the quota of 178 articles allocated for 2026. (updated 19 August 2026).

The programme was launched on 13 May with a quota of 178 vouchers for 2026. Authors who publish open-access articles at their own expense in 2026 before the scheme is launched will not be eligible for reimbursement under the programme. (information as of 13 May 2026).

Cambridge University Press

An open access publishing programme under CUP consortium licence

The program operates in 2026 with an unlimited pool of articles.

Authors eligible for the programme:

• A corresponding author affiliated with Warsaw University of Technology. It is recommended to provide an email address in the institution's domain (@pw.edu.pl) in the publication process.

The programme covers:

• 376 CUP open access and hybrid journals, but an author from a given institution is only entitled to publish for free in open access in journals from the collection to which the institution subscribes. The author can check this on a dedicated page on the publisher's server.

The programme allows open publication without charge:

• under a CC-BY licence
• of 30 articles for the entire consortium (including a maximum of 5 OA articles free of charge per institution).

The programme allows publication free of charge for authors of articles accepted for publication in the current year.

Corresponding authors who send an article for review should demonstrate their institutional affiliation, e.g. by providing their Orcid ID. The use of an institutional email is also recommended to facilitate identification of the author's institution. After the reviews and once the article has been accepted by the journal's editorial team, the author will receive an email with a link to the relevant journal's website, which contains the forms necessary to prepare the licence agreement. An author who wishes to publish an open access article should choose one of the two forms in the 'Open Access Articles' section and select the Creative Commons licence version. The choice of form depends on whether the copyright holder of the publication is the author(s) of the publication or their employer(s). Once the author has completed and submitted the form, the article is routed for publication approval within the programme by the coordinator, and once the process is complete, the author will receive an email confirming that the article will be published in open access. The whole process is described in details in "Step-by-step guide to publishing Open Access in Cambridge Journals".

IDUB Open Science Programme – 2026 Edition

The program has been closed due to exhaustion of funds.

We would like to inform you that, pursuant to Decision No. 73/2026 of the Rector of Warsaw University of Technology dated 10 April 2026, the Open Science Programme has been launched at Warsaw University of Technology.

As part of the Open Science programme, the project Excellence Initiative – Research University offers financial support for the publication of scientific articles in the OA format. Eligible beneficiaries of the programme are employees of Warsaw University of Technology holding a doctoral degree awarded no earlier than 12 years prior to the date of submitting the grant application (Young Scholars), whose research output is taken into account in the evaluation of the University’s research activities.

Financial support is provided for publications in which the Young Scholar is the corresponding author or first author in:

• a journal ranked in the top decile according to the current CiteScore (Scopus) ranking, or
• a full-text post-conference publication with 200 points assigned on the Ministry of Science and Higher Education list.

Lists of journals are available on the IDUB project website.

Financial support is provided up to a net amount of PLN 25 000, as follows:

• 100% of the publication fee if the WUT Young Scholar is the sole corresponding author (maximum PLN 25 000.00 net)
• 100% of the publication fee if all corresponding authors are WUT Young Scholars and are affiliated with WUT (maximum PLN 25 000.00 net)
• 75% of the publication fee if the WUT Young Scholar is the first author but not the corresponding author (maximum PLN 18 750.00 net)
• 50% of the publication costs if the WUT Young Scholar is one of the corresponding authors and the other corresponding authors include individuals who are not WUT Young Scholars or do not have a WUT affiliation (maximum PLN 12 500.00 net)

The terms and conditions of the Open Science programme and the application form are available on the Warsaw University of Technology – Research University website

WUT Base of Knowledge

WUT Base of Knowledge is an open information platform used to collect, present and share the scientific achievements of Warsaw University of Technology employees and doctoral students. It serves as an institutional repository and a tool supporting the promotion of the University's scientific activities.

Depositing scientific works

Every employee of Warsaw University of Technology is required to regularly submit information about their scientific achievements. This data should be submitted to the appropriate faculty editor, in accordance with one’s organisational unit assignment. Employees can also independently supplement data about their scientific publications by importing it from external systems.

Instructions on how to deposit scientific works in the WUT Base of Knowledge are available in the WUT Base of Knowledge tab and in the user and editor manuals.