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Medical University of Silesia in Katowice

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Jesteś tutaj: SUM Library > For authors > Open Access > Dane badawcze

Data Management Plan - support for SUM units

Contact:
Mr Krzysztof Gościniak, MA
Coordinator of the SUM Library's Open Science Team
phone: (+48 32) 208-36-33
kgosciniak@sum.edu.pl

Research data - highlights Guidebook (in Polish). Polish Medical Platform. (pdf; 326 KB)
Guide created in cooperation with libraries of Polish medical universities and the Institute of Occupational Medicine

What is research data?

Research Data is recorded factual material (in numerical, textual, graphical or audio form) that is widely recognised by the scientific community as being necessary for the evaluation of scientific findings. Research data are both raw data, i.e. data that have been obtained directly as a result of the application of the research tool, and such data that have been processed.
Research data are: numerical data, text documents, notes, questionnaires, audio and video recordings, photographs, software, results of computer simulations, laboratory protocols, methodological descriptions, etc.

What is open research data?

(Open Research Data are data, obtained during the research process and used in scientific work, to which everyone has free access. They can be reused, modified and shared in compliance with the law.

  • Opening up the data allows other researchers to repeat the research or to verify or prove, that the data are correct.
  • Open data is collected and made available in the research data repositories or data journals.
  • Not all data sets can be open in nature, in particular for personal data, commercialisation of research results and national security.
  • Information on the existence of data should always be publicly available, to avoid duplication of research.

Advantages of sharing research data for researchers and the scientific world

  • Increasing the transparency and credibility of research: Public access to data allows other researchers to verify results and replicate experiments, increasing the credibility and reliability of research.
  • Improved collaboration and synergy between researchers: Open access facilitates the exchange of information, which fosters collaboration between institutions, disciplines, and countries. It can accelerate scientific progress.
  • Accelerating scientific discovery: When data is publicly available, other researchers can analyse it faster, use it for new research or find new patterns in it. As a result, new facts can be discovered faster, and innovations can be developed.
  • Increasing accessibility of research results to the public: Citizens, non-governmental organisations, or businesses can use data for various purposes, such as technology development, policy implementation, or social analysis.
  • Prevention of duplication of studies: Open data helps to avoid repeating the same research and wasting resources on experiments that have already been conducted.
  • Improving the quality of education: Students and teachers can use real-world data in the learning process to better understand the research process and develop analytical skills.
  • Promotion of innovation: Open research data can be used by companies to create new products, services, or technologies that support innovation and economic development.
  • Facilitating meta-analyses: Giving access to data from different studies enables researchers to carry out more comprehensive statistical analyses, such as meta-analyses, which can provide more general conclusions about a research problem.

What is FAIR Data?

FAIR Data are research data that have been described, stored and published according to an international standard. The FAIR Data principles serve as a guideline for allowing the reuse of research data under explicitly described conditions, both by humans and by machines. Data that cannot be published completely for privacy reasons can meet all FAIR principles.

FAIR is an acronym for:

Findable - easily found and retrieved.

Accessible - available to everyone.

Interoperable - interoperable so that they can be combined with other data.

Reusable - multiple use.

Read more about FAIR Data: FAIR Principles.

What is a data management plan (DMP)?

Data Management Plan (DMP) determines how research data are to be managed during the research project as well as after its completion.

Research funding institutions and programmes increasingly require from researchers to submit a DMP at the grant application and evaluation stage (e.g. Horyzont Europe). The data management plan should include:

- what data will be produced or collected (format and type of files, number of data),

- how they will be structured and described (methodology, standards, metadata),

- ethical and legal issues (intellectual property, copyright, classified data),

- how the data will be shared (how, when, to whom),

- which data will be stored on a long-term basis (the question of how the data will be stored and protected).

How to prepare a research data management plan (DMP)?

Assist with the development of Data Management Plans (DMPs) in SUM:
Krzysztof Gościniak, MA, kgosciniak@sum.edu.pl phone: (+48 32) 208-36-33 

Recommended sites to facilitate the creation of the Plan:
DMPTool - online tool for creating data management plans; includes examples of such plans.
DMPonline - research data management plan creator.

Example:
Example DMPs and guidance

Data management plan for the National Science Centre

The National Science Centre has introduced an annex to the application form for funding for certain programmes, in which the applicant should provide a summary of the Research Data Management Plan (DMP) that will be produced as part of the project. The National Science Centre Council meeting of 17-18 April 2019. (in Polish) 

The National Science Centre website includes Guidelines for applicants to complete a data management plan for a research project (in Polish), which provide assistance in writing the plan.

The National Science Centre Research Data Management Plan - Frequently Asked Questions (in Polish)

What is the search engine re3data.org?

Search engine re3data.org (Registry of Research Data Repositories) is a global registry of research data repositories from all academic disciplines. It is a free tool that offers researchers, research funding organisations, libraries and publishers an overview of research data repositories. It allows repositories to be searched by field of knowledge, country and research data type.

Where to deposit and/or share research data?

REPOSITORY

DATA JOURNALS

Handbooks/Guides on research data

  1. Research Data. A practical guide for researchers (in Polish) (pdf; 1,2 MB) – serwis Biblioteki Uniwersytetu Łódzkiego
  2. Opening Data. Good practice guide (in Polish) (pdf; 1,2 MB) ze strony: https://dane.gov.pl/en
  3. Practical Guide to the International Alignment of Research Data Management A practical guide to standardised European research data management practices 
  4. Guidelines on FAIR Data Management in Horizon 2020 ( pdf; 356 KB) ze strony: European Commission website https://ec.europa.eu/ 
  5. Strzelczyk E., Otwarte dane badawcze – kolejny krok do otwierania nauki. Materiały Konferencyjne EBIB, 2017, nr 25. ( pdf; 369 KB)
  6. Hoffman-Sommer M., Otwieranie małych danych badawczych (in polish)- Open Science Platform, ICM, University of Warsaw

Information brochures from (in Polish) Dziedzinowych Repozytorii Otwartych Danych Badawczych:

Training / webinars on research data

  1. A series of registered webinars on the basics of research data management in biomedical sciences - EMBL-EBI.
  2. Research Data Management and Sharing – Coursea (University of North Carolina at Chapel Hill and University of Edinburgh)
  3. MANTRA - University of Edinburgh