
RODBUK is co-created by six Cracow universities:
AGH University of Krakow, University of Physical Education, Cracow University of Technology, Krakow University of Economics, Jagiellonian University in Kraków, University of the National Education Commission. The technical implementation of the project is handled by the ACK Cyfronet AGH.
The purpose of RODBUK is to collect, develop, archive and make available in open access all types of research data created by researchers, PhD candidates and students in the course of scientific activity. RODBUK aims to implement the Open Science policy by creating a publicly available platform for depositing research datasets, enabling:
RODBUK allows collecting and share open research data from various disciplines and in all file formats. Thanks to this, data is indexed and cited, which has a positive effect on its dissemination and promotion. RODBUK is compliant with the Open Access Infrastructure for Research in Europe (OpenAIRE) guidelines.
RODBUK applies the FAIR Principles, which means the data is: findable, accessible, interoperable, reusable.
RODBUK is registered in:
In this way, it meets the requirements set by research funding agencies like the National Science Center and the European Union for depositing and opening research data.
The Repository is dedicated to researchers from universities co-creating the project, but it is also open to external scientific units interested in depositing and sharing their research data.
RODBUK usage is free of charge.
To deposit research data in RODBUK, you need to have an active account in the repository. Logging in is via the university's authentication system (email address in the agh.edu.pl domain). When logging in for the first time, you must verify the correctness of the data entered, read and accept the terms and conditions, and then confirm the creation of the account. After verifying and assigning permissions to the appropriate collection (faculty), you can deposit research data in RODBUK. Verification of the user account by the administrator takes a maximum of one working day. See the instructions for depositing research data and user guide for complete information on how RODBUK works.
Research data are usually made accessible in a form of datasets. This is a collection containing data connected to a single publication, scientific project, or experiment.
According to the guidelines of scientific funding bodies, research data should be saved in open formats (e.g. OpenDocument, PNG, FLAC, WebM, HTML, CSS) widely available and free of charge with one exception when the files conversion from specialised software to an open source may affect the data quality.
The dataset should also be supplemented by documentation containing all the information necessary to understand and properly interpret the data provided. A good practice is to add a README.txt file to the dataset, which contains basic information about the shared data.
What should be included in the README?
Provide a concise and comprehensive title for the dataset that accurately reflects its content.
Provide an overview of the dataset and describe the project under which it was collected. Highlight the purpose, scope and potential uses of the dataset. Also consider including links to relevant publications or resources that provide additional context.
Include any conditions necessary to use the dataset, such as specific software or hardware requirements. Provide clear instructions on how to access, download and use the data files.
Describe the organisation of the dataset, including the contents of each folder and the files it contains. Use tables or file trees to help users understand the data structure. Also consider including any related data sets that users may find useful.
Describe the file formats used in the dataset and the software required to open them.
Provide a clear and consistent naming convention for dataset files. Explain the meaning of the naming conventions used.
If applicable, describe the research questions or hypotheses that guided the collection of the dataset. Explain the methods of data collection, including any ethical considerations taken into account.
Provide a codebook that explains the variables in the data set. This is particularly important for tabular data, but is also useful for any other type of file. Include at least the variable name, a brief description, and the data type.
| Variables | Description | Data type |
| my_var | description of variable | data type, e.g. string, integer |
Include a licence that allows others to use and share your work. Consider using an open data license such as the Creative Commons.
Provide clear instructions on how to cite your dataset or related publications in a research paper or publication.
Include contact information for questions or comments about your dataset. You can also provide clear instructions for how users can provide feedback, contribute, or suggest improvements to your work.
Compiled on the basis of Utrecht University FAIR-Cheatsheets


Contact: Marta Urbaniec
tel. 12 617 32 21
otwartanauka@agh.edu.pl