• Output Type: Working Group Supporting Output
  • Review Status: Endorsed
  • Review Deadline: 2022-11-30
  • Author(s): Bridget Walker
  • Abstract

    Professionalising Data Stewardship IG

    Group co-chairs:  Peter NeishRomain DAVIDDebora DruckerChristina DrummondYan WangNiklas ZimmerGraham PartonJaana Pinnick

    Supporting Output title: RDA Professionalising Data Stewardship – Data Stewardship Landscape Initial Report

    Authors:  Lorna Wildgaard, Jukka Rantasaari

    Editors: Claudia Engelhardt, Jaana Pinnick

    Impact: The main take-home messages from this review are: 1) Collaborate internationally on certified training; 2) Enable researchers to share their data from the planning stage of their project and 3) Address the increased need for technical skills in data stewardship. The report offers 197 solutions compiled from literature to bridge gaps in data stewardship. The output can be used to identify and recommend learning pathways for data stewards, and to identify use cases to concretize the solutions in order to provide a valuable tool for data stewards. The results of the report could be used to contribute to the Competency Hub pages on Data Stewardship, the continuing work of the EOSC Taskforce or the creation of new educational materials for RDA task group developing curricula. The report will also give valuable information to all who are interested in developing their data stewardship skills needed to better serve the needs of researchers.

    DOI: 10.15497/RDA00076

    Citation: Wildgaard, L., & Rantasaari, J. (2022). RDA Professionalising Data Stewardship – Data Stewardship Landscape Initial Report. Research Data Alliance. https://doi.org/10.15497/RDA00076



    This report is based on a literature review published by the Research Data Alliance Professionalising Data Stewardship Interest Group (RDA PDS-IG) Training sub-group in October 2022. A framework for the literature collection was devised before the literature search began, based on common concepts of the division of the research disciplines. The literature search was conducted between March 2021 and July 2021. The selection was verified in a cross-walk exercise, where common terminologies were tracked across different ontologies to learn more about concepts and disciplinary differences and commonalities in research data management (RDM). In the reference management software Zotero, folders were created to structure the literature 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. Further, 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 this report.


  • Group Technology focus: Data (Output) Management Planning
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