Prepared by Dr Monika Nowakowska

Library of Institute of Economics and Finance

 

 

 

 

Repositories of the John Paul Catholic University of Lublin: https://www.kul.pl/dane-badawcze,art_84302.html

https://www.kul.pl/files/959/media/poradnik_-_plan_zarzadzania_danymi.pdf

 

DEFINITION

 

Research data - data collected or created as material for analysis as part of research. Access to them allows of verification of the results presented in the scientific publication.

 

According to the European Commission ”research data” refers to information, in particular facts and figures, collected for the analysis and the basis of reasoning, discussion or calculations.

 

EXAMPLES

 

Research data may be:

  • figures,

  • text documents,

  • notes,

  • questionnaires,/p>

  • wsurvey research results,

  • audio and video recordings,

  • images,

  • databases content,

  • software,

  • computer simulation results,

  • laboratory protocols,

  • methodological descriptions.

 

Source: Guidelines to the Rules on Open Access to Scientific Publications and Open Access to Research Data in Horizon 2020

https://enspire.science/wp-content/uploads/2019/12/h2020-hi-oa-pilot-guide_en.pdf).

 

 

TYPES OF RESEARCH DATA

 

Research data can be divided into:

  • raw – collected but not analysed;

  • obnservational – captured in real time (e.g. detectors readings, telemetry data, anonymous survey results, focus group research), often unique because they cannot be ”regain”;

  • experimental – obtained with the use of laboratory equipment under controlled conditions, repetitive, but often expensive (e.g. gene sequences, spectroscopy, magnetic field readings);

  • simulation data – collected during tests examining real or theoretical systems (e.g. climatic and economic models, engineering systems);

  • derivative data / compiled data – results of data analyses or data aggregated from different sources. Repetitive, but obtaining them may be very expensive (databases, texts, 3D models, statistical data);

  • referential data – corrected or organic data collections, usually reviewed, published and selected (GUS data, chemical structures, gene sequences databases)

 

 

Open Research Data is research data, which has been made available in a repository or different digital platform, to which everyone has free access.

 

Open Research Data includes i.a. digital and analogue data, both raw and processed, and metadata, as well as numerical records, text records, images and sounds, protocols, analysis code and procedures, which accompany them and which can be used in an open way, reused, saved and redistributed by anyone, provided the authorship is acknowledged. Open Research Data is available in a current, user-friendly, readable for people and machines, and actionable format, according to the principles of good data management and curation, in particular the FAIR principles (Findable, Accessible, Interoperable, Reusable) and is subject to regular curation and maintenance actions.

 

Advantages of data sharing:

  • possibility of verification or replication of scientific data;

  • the end of the project does not mean the end of the use of research data;

  • standartisation of research data and metadata;

  • avoiding re-funding of the same research;

  • increasing of visibility of conducted research and citation of publications and research data collections;

  • presentation of information essential when searching for members of domestic and international research teams, experts, project partners etc.


FAIR Data Rules

  • Findableindable – data should be able to find;

  • Accessible – research data or data sets should be available using definite standards for their description, in other words metadata;

  • Interoperable – interoperability of data sets or metadata teams enables their exchange and use for scientific purposes not only by people, but also by machines;

  • Reusable – data or data collections can be re-used

 

Legal acts, regulations

 



Directive adopted on 20th June 2019 by the European Parliament and Council of the European Union on open data and re-use of public sector information (2019/1024)(https://eur-lex.europa.eu/legal-content/PL/TXT/PDF/? uri=CELEX:32019L1024&from=EN) includes research data into public sector data and obliges member countries to provide the possibility of their re-use. The obligation to make it available also concerns those documents and data, which have been created with public funding and are already available in institutional or field repositories.

 

Data management plan – a document containing the outline of what we will be doing with the data during the durance and after a given research project. The data management plan should be a living document, which changes during the project durance.

 

DMP is a document describing rules of data management during and after the research.

The Data Management Plan should include components, which answer the following questions:

 

1. What data will be produced or collected?

 types of data,

 file formats,

 estimated data volume.

 

2. How the data be acquired or produced?

 standards,

 methods,

 software,

 tools.

 

3. How will the data will be ordered and described?

 metadata,

 documentation.

 

4. What ethical and legal issues connected with data will be taken into account?

 personal data protection,

 classified information security.

 

5. How will the data be shared? (how, when, whom)

6. Which data will be stored on a long-term basis? (where, how long)

 

 

RESEARCH DATA MANAGEMENT PLAN

 

TOOLS USEFUL IN CREATION OF DATA MANAGEMENT PLAN

 

Guidelines for petitioners to complete a data management plan for a research project, prepared by the National Science Centre: https://ncn.gov.pl/sites/default/files/pliki/regulaminy/wytyczne_zarzadzanie_danymi.pdf

 

a tool preparing DMP patterns, adjusted to the requirements of American funders.https://dmptool.org/

 

DMPonline (UK) – a tool very similar to the DMP tool, but including the UK science funding institutions database. https://dmponline.dcc.ac.uk/

 

DCC Data Management Plan Content Checklist – a checklist of data management plan content, allows for a quick definition of what information may be missing in the prepared DMP.

 

https://www.dcc.ac.uk/DMPs/checklist

 

The Data Curation Center – a service of a British institution specialising in research data management. It provides, i.a.: ready-made data management plans, guides, guidelines, and information on metadata.

 

https://www.dcc.ac.uk/resources/data-management-plans/guidance-examples

 

Webography:

 

  1. Przewodnik dla UWr – Otwarta Nauka, https://www.bu.uni.wroc.pl/sites/default/files/images/ezrodla/Przewodnik%20dla%20UWr%20-Otwarta%20Nauka%20-%2016_11_2021.pdf, dostęp 09.08.2024.

  2. Dane badawcze, opracowały Maja Bogajczyk Anna Książczak-Gronowska, Warszawa 2020, https://www.buw.uw.edu.pl/wp-content/uploads/2020/11/DANE-BADAWCZE-1.pdf

  3. Uniwersytet Warszawski, Zarządzanie danymi badawczymi dla data stewardów, https://navoica.pl/courses/course-v1:UniwersytetWarszawski+RDM_01+2023_01/courseware/897b7c8bc2dd49a3aa6486f714878f55/dbba404c64ae4eddab4f05ec303cb535/5?activate_block_id=block-v1%3AUniwersytetWarszawski%2BRDM_01%2B2023_01%2Btype%40vertical%2Bblock%40c213fb8f49584dfabcad7fd301a44093, dostęp 09.08.2024.

  4. Pazik-Aybar A. [Narodowe Centrum Nauki], Otwarta nauka i publikowanie w otwartym dostępie: sytuacja i perspektywy , https://rgnisw.nauka.gov.pl/wp-content/uploads/2023/10/Prezentacja-APA_12.10.2023.pdf

  5. Galica N. [Narodowe Centrum Nauki], Otwarte dane badawcze w polityce Narodowego Centrum Nauki, https://www.ncn.gov.pl/sites/default/files/pliki/prezentacje/2024_05_08_otwarte_dane_badawcze_webinarium.pdf

  6. Serwis Rzeczpospolitej Polskiej, Otwarte dane, https://dane.gov.pl/pl

  7. Instrukcja zarządzania danymi badawczymi obowiązująca na Uniwersytecie Ekonomicznym we Wrocławiu, https://www.bg.ue.wroc.pl/otwarta_nauka/22309/plan_zarzadzania_danymi.html; https://www.ue.wroc.pl/p/bg/instrukcja_pzd_marzec_2022.pdf

  8. Repozytorium KUL : https://www.kul.pl/dane-badawcze,art_84302.html

    https://www.kul.pl/files/959/media/poradnik_-_plan_zarzadzania_danymi.pdf

 

 
Autor: Paweł Kamiński
Ostatnia aktualizacja: 16.01.2025, godz. 10:53 - Paweł Kamiński