About reseach data
What is research data?
Research data is any data that has been collected, observed or created during a research process to obtain original scientific results. Depending on how or for what purposes they have been created, we can distinguish, among others experimental, observational, simulation, compilation or reference data.
Benefits of sharing research data:
- better communication and exchange of information between specialists representing various science disciplines;
- increase in the number of citations of both the data themselves and the publications based on them;
- the ability to perform analyses on the basis of unique data that cannot be collected again;
- the possibility of assessing the reliability of the research carried out;
- the possibility of using existing resources and reducing research costs
FAIR – data sharing rules:
Findable
Accessible
Interoperable
Reusable
Why are the FAIR principles needed? The increasing availability of online resources means that data need to be created with longevity in mind. Providing other researchers with access to your data facilitates knowledge discovery and improves research transparency.
Cracow University of Technology is contributing to the RODBUK Cracow Open Research Data Repository (new window).
RODBUK is co-created by six Cracow universities: AGH University of Science and Technology, University of Physical Education in Krakow, Krakow University of Economics, Jagiellonian University in Kraków, Pedagogical University of Krakow and Cracow University of Technology. The repository is dedicated to researchers and doctoral students of the project's co-founding universities who are interested in sharing their research data.
Recommended research data repositories
Scientists working in Poland also have the option of storing and sharing data in other repositories that indexing research data:
- RepOD (new window) – Open Data Repository developed by Interdisciplinary Centre for Mathematical and Computational Modelling UW (ICM UW). As part of the Open Science Platform activities, it archives and provides access to all data generated, collected and developed for the needs of scientific research. Intended for so-called small data.
- Zenodo (new window) – International Research Data Repository. It enables scientists from all areas of knowledge to easily archive and share their research data. Intended for so-called small data. Developed thanks to the OpenAIRE and CERN initiatives.
- NIH research data repositories (new window) – The National Institutes of Health co-creates and promotes many specialized research data repositories, many of which provide so-called big data collected through specific projects. On the NIH website there is a table describing individual repositories, informing about their degree of openness and procedures for placing data in them.
- Mendeley (new window) – Elsevier, in addition to developing the bibliography manager and the Mendeley community portal, allows its users to archive and further share their own research data. The moderated data shall be provided with relevant metadata and assigned a DOI number. The repository is intended for so-called small data.
- BRIDGE OF DATA (new window) – an enterprise under which an institutional repository of open research data will be created at the Gdańsk University of Technology. It will also serve consortium members: The University of Gdańsk and the Medical University of Gdańsk. It will be possible to extend access to the platform to other universities in the region and country.
Registry of Research Data Repositories
- OpenDOAR (new window) – international database indexing digital libraries, institutional repositories and research data repositories. The database allows you to search the same repositories as well as search their resources.
- Re3data (new window) – An international database indexes research data repositories. It is maintained by the German Research Foundation. It allows searching for repositories according to the field of knowledge and the country in which a given repository is created.
Data Management Plan (DMP)
Under the Open Access policy, research funding agencies, institutions employing researchers and researchers themselves have the desire and need to assess the quality and impact of research results. Publishing full texts of articles in open access increases their visibility, as well as facilitates and accelerates scientific communication and cooperation between researchers.
Institutions and programmes financing research are increasingly requiring scientists to submit DMP at the stage of submitting and evaluating grant applications. The National Science Center has introduced the obligation to attach a research data management plan to the project funding application. This plan is supplemented at the stage of submitting the final report and evaluated after project completion.
What should a data management plan include?
- evaluation of data already available, description of deficiencies and needs;
- a description of how data is collected (e.g. through a survey, research instrument) and their type (e.g. experimental or observational data);
- documentation and data description standards (metadata);
- information on who will own the copyright and intellectual property rights of the data, as well as who will be responsible for their management;
- requirements and procedures related to the ethical aspects of the data collected;
- description of procedures to ensure data quality control (along with the division of responsibilities and activities related to the supervision and control of data correctness);
- plan for accessing and sharing data (it should be specified under which licence the data will be available);
- short and long term strategy of data storage and protection;
- information on what resources will be needed to apply the DMP.
Based on: https://www.openaire.eu/how-to-make-your-data-fair (new window)
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