OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review
Sharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the revised Draft of the OECD Recommendation Concerning A...
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Format: | Article |
Language: | English |
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Polish Academy of Sciences
2021-02-01
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Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
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Online Access: | https://journals.pan.pl/Content/118379/PDF/15_01931_Bpast.No.69(1)_19.02.21_K1_A_TeX.pdf |
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author | Lech Madeyski Tomasz Lewowski Barbara Kitchenham |
author_facet | Lech Madeyski Tomasz Lewowski Barbara Kitchenham |
author_sort | Lech Madeyski |
collection | DOAJ |
description | Sharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the revised Draft of the OECD Recommendation Concerning Access to Research Data from Public Funding. The Recommendation is based on ethical scientific practice, but in order to be able to apply it in real settings, we suggest several enhancements to make it more actionable. In particular, constant maintenance of provided software stipulated by the Recommendation is virtually impossible even for commercial software. Other major concerns are insufficient clarity regarding how to finance data repositories in joint private-public investments, inconsistencies between data security and user-friendliness of access, little focus on the reproducibility of submitted data, risks related to the mining of large data sets, and sensitive (particularly personal) data protection. In addition, we identify several risks and threats that need to be considered when designing and developing data platforms to implement the Recommendation (e.g., not only the descriptions of the data formats but also the data collection methods should be available). Furthermore, the non-even level of readiness of some countries for the practical implementation of the proposed Recommendation poses a risk of its delayed or incomplete implementation. |
first_indexed | 2024-04-13T19:40:14Z |
format | Article |
id | doaj.art-85daa1991ba24a20947b440e1d78d7b7 |
institution | Directory Open Access Journal |
issn | 2300-1917 |
language | English |
last_indexed | 2024-04-13T19:40:14Z |
publishDate | 2021-02-01 |
publisher | Polish Academy of Sciences |
record_format | Article |
series | Bulletin of the Polish Academy of Sciences: Technical Sciences |
spelling | doaj.art-85daa1991ba24a20947b440e1d78d7b72022-12-22T02:32:55ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172021-02-0169No. 1https://doi.org/10.24425/bpasts.2020.135401OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A ReviewLech Madeyski0https://orcid.org/0000-0003-3907-3357Tomasz Lewowski1https://orcid.org/0000-0003-4897-1263Barbara Kitchenham2https://orcid.org/0000-0002-6134-8460Faculty of Computer Science and Management, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandFaculty of Computer Science and Management, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandSchool of Computing and Mathematics, Keele University, Keele, Staffordshire, ST5 5BG, UKSharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the revised Draft of the OECD Recommendation Concerning Access to Research Data from Public Funding. The Recommendation is based on ethical scientific practice, but in order to be able to apply it in real settings, we suggest several enhancements to make it more actionable. In particular, constant maintenance of provided software stipulated by the Recommendation is virtually impossible even for commercial software. Other major concerns are insufficient clarity regarding how to finance data repositories in joint private-public investments, inconsistencies between data security and user-friendliness of access, little focus on the reproducibility of submitted data, risks related to the mining of large data sets, and sensitive (particularly personal) data protection. In addition, we identify several risks and threats that need to be considered when designing and developing data platforms to implement the Recommendation (e.g., not only the descriptions of the data formats but also the data collection methods should be available). Furthermore, the non-even level of readiness of some countries for the practical implementation of the proposed Recommendation poses a risk of its delayed or incomplete implementation.https://journals.pan.pl/Content/118379/PDF/15_01931_Bpast.No.69(1)_19.02.21_K1_A_TeX.pdfopen dataopen accessempirical researchdata-driven researchdata science |
spellingShingle | Lech Madeyski Tomasz Lewowski Barbara Kitchenham OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review Bulletin of the Polish Academy of Sciences: Technical Sciences open data open access empirical research data-driven research data science |
title | OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review |
title_full | OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review |
title_fullStr | OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review |
title_full_unstemmed | OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review |
title_short | OECD Recommendation’s Draft Concerning Access to Research Data from Public Funding: A Review |
title_sort | oecd recommendation s draft concerning access to research data from public funding a review |
topic | open data open access empirical research data-driven research data science |
url | https://journals.pan.pl/Content/118379/PDF/15_01931_Bpast.No.69(1)_19.02.21_K1_A_TeX.pdf |
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