RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix
| Professionalising Data Stewardship IG |
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Group co-chairs: Peter Neish, Romain DAVID, Debora Drucker, Christina Drummond, Yan Wang, Niklas Zimmer, Graham Parton, Jaana Pinnick |
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Supporting Output title: RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix |
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Authors: Lorna Wildgaard, Jukka Rantasaari |
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Impact: The resource database will give information to all who are interested in developing their data stewardship skills needed to better serve the needs of researchers. |
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DOI: 10.15497/RDA00077 |
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Citation: Wildgaard, L., & Rantasaari, J. (2022). RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix [Data set]. Research Data Alliance. https://doi.org/10.15497/RDA00077 |
Abstract
This dataset includes the resources which were included in the Research Data Alliance Professionalising Data Stewardship Interest Group (RDA PDS-IG) Training Landscape sub-group report published in October 2022. The literature was structured into the following categories: data stewardship; education and training of data stewards; RDM education; training materials; data management plan templates; documents about the skills needed to support EOSC and FAIR principles; data management in the humanities, industry, life sciences, natural sciences, public institutions and the social sciences. The aim was to identify papers concerning the RDM needs of researchers and data stewards and their role in the RDM life cycle. The screening resulted in 125 papers that are used as the knowledge base for the output report.
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 The Gaps Report_ References.xlsx | 131.52 KB |
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 RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix.pdf | 953.93 KB |
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Author: Yuri Demchenko
Date: 29 Nov, 2022
This is the copy of comments posted to the report discussion: Please include these resources.
The report misses reference to and corresponding analysisn of at least two results o the FAIRsFAIR project:
1) Deliverable D7.3 that proposed the Data Stewardship Professional Competence Framework
"D7.3 FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)" - https://zenodo.org/record/4562089#.Y4VXiHbMK38
The deliverable uses evidence based identification of important Data Stewards competences, skills and knowledge based on the job market analysis.
2) Deliverable D7.4 "How to be FAIR with your data. A teaching and training handbook for higher education institutions" https://zenodo.org/record/6674301#.Y4VaZnbMK38
and
3) Book "How to be FAIR with your data: A teaching and training handbook for higher education institutions", by Claudia Engelhardt et al. Published 2022, DOI: https://doi.org/10.17875/gup2022-1915,
Other related resources
4) Data Steward Professional: Reference dataset of Data Steward related job vacancies for competences assessment
https://zenodo.org/record/6008122#.Y4VYg3bMK38
5) Research Data Management and Data Stewardship Competences in University Curriculum
Yuri Demchenko; Lennart Stoy
Proc. EDUCON2021 – IEEE Global Engineering Education Conference (EDUCON2021), Vienna, Austria (Virtual), 21-23 April 2021 (Session Session "Special Session Data Science Education")
https://zenodo.org/record/4633752#.Y4VYp3bMK38
6) EDISON Data Science Framework (EDSF) that defined Data Steward professional profile (back in 2017) and related documents CF-DS, DS-BoK, MC-DS, DSPP
https://edisoncommunity.github.io/EDSF/
Author: Jaana Pinnick
Date: 01 Dec, 2022
Thank you for reading our draft outputs and taking the time to provide comments on them. We have considered the feedback and here is our reply:
We hope this addresses the points you queried but we're happy to provide further information if needed.
Author: Libby Bishop
Date: 05 Dec, 2022
I would like to add the CESSDA Data Archiving Guide to this list. https://dag.cessda.eu/
In this guide, you will learn what a data archive is, what it does, and why data archives play an important role in the scientific infrastructure. After reading the DAG, you will have a basic understanding of the working procedures of a data archive and you will also be able to name the set of policies that a data archive needs to have in place to function optimally.
Still to be published in 2022 are new chapters on FAIR and on Replication services with journals.
Best wishes,
Libby Bishop - GESIS
Author: Jukka Rantasaari
Date: 15 Dec, 2022
Thank you Libby,
This seems very interesting and valuable source, thank you for the tip.
However, because the report containes publications between 2012-2021, collected between March 2021 and July 2021, we will not add it to the report or the Matrix.
Still, thank you very much for letting us know about this source,
Best regards,
Jukka Rantasaari
Author: Jukka Rantasaari
Date: 15 Dec, 2022
Thank you Libby,
This seem very interesting and valuable source, thank you for the tip.
However, because the report containes publications between 2012-2021, collected between March 2021 and July 2021, we will not add it to the report or the Matrix.
Still, thank you very much for letting us know about this source,
Best regards,
Jukka Rantasaari
Author: Libby Bishop
Date: 05 Dec, 2022
I would like to add this guide. https://dag.cessda.eu/
In this guide, you will learn what a data archive is, what it does, and why data archives play an important role in the scientific infrastructure. After reading the DAG, you will have a basic understanding of the working procedures of a data archive and you will also be able to name the set of policies that a data archive needs to have in place to function optimally.