RDA Professionalising Data Stewardship - Current Models of Data Stewardship: Survey Report

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RDA Professionalising Data Stewardship - Current Models of Data Stewardship: Survey Report

By Bridget Walker

Professionalising Data Stewardship IG

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

Supporting Output title: RDA Professionalising Data Stewardship - Current Models of Data Stewardship: Survey Report

Authors:  Bill Ayres, Liise Lehtsalu, Graham Parton, Ádám Száldobágyi, Eleanor Warren, Angus Whyte, Niklas Zimmer

Impact: The ‘RDA Professionalising Data Stewardship – Models of Data Stewardship Initial Report’ output will be of value to stakeholders seeking to develop support services and competence centres serving research producers and users of FAIR data and Open Science. The survey findings are particularly relevant to individual data stewards as well as coordinated data stewardship service provision at all levels, including institutions, national, regional, and domain-based services. The output offers insights to current data stewardship service definition and provision across the globe, but in Europe in particular, and facilitates learning from the benefits promoted, the barriers experienced, and the main lessons learned by existing data stewardship services.  Alongside the publicly available survey dataset this report therefore provides a useful evidence base to further aid the professionalisation and delivery of data stewardship across the research data management community.

DOI: 10.15497/RDA00075

Citation: Ayres, B., Lehtsalu, L., Parton, G., Ádám Száldobágyi, Warren, E., Whyte, A., & Zimmer, N. (2022). RDA Professionalising Data Stewardship - Current Models of Data Stewardship: Survey Report. Research Data Alliance. https://doi.org/10.15497/RDA00075



This report presents the first analysis of the Models of Data Stewardship survey completed by the Research Data Alliance Professionalising Data Stewardship Interest Group (RDA PDS-IG) in October-November 2021. The purpose of the survey, based around a conceptual model of data stewardship services, was to engage with the global research data management (RDM) community to capture information about data stewardship approaches taken by organisations and the wider landscape of data stewardship and services. In particular, this initial report provides insights on a) roles involved in providing data stewardship services, the functions these provide, to which customer groups, and at which stages of the data lifecycle; b) stakeholder involved in the governance of data stewardship; c) indicative ranges of service capacity of data stewardship services; d) benefits of data stewardship promoted by services; and e) main lessons learned by responding data stewardship services. 


Output Status: 
RDA Supporting Outputs
Review period start: 
Wednesday, 12 October, 2022 to Saturday, 12 November, 2022
Group content visibility: 
Use group defaults
Primary WG Focus / Output focus: 
Domain Agnostic: 
Domain Agnostic
  • Valerie McCutcheon's picture

    Author: Valerie McCutcheon

    Date: 19 Oct, 2022

    A well presented report with great visuals.  I was left wondering well what value does it add for me?  I had to read many pages of method and such before the lessons learned and summary section.  Perhaps some of that could be up front as a sort of hook for the reader.  

  • Kristin Halverson's picture

    Author: Kristin Halverson

    Date: 31 Oct, 2022

    I agree with Valerie's comment. The report is well-presented and the results are interesting, important, and especially helpful for us working in roles that involve building data steward infrastructure and coordinating stewardship roles. However, I would have loved to have encountered many of the points made in the "Summary of Findings" in the beginning.

  • Liise Lehtsalu's picture

    Author: Liise Lehtsalu

    Date: 21 Nov, 2022

    Dear Valerie and Dear Kristin,

    On behalf of all authors of the report, I want to thank you for your careful reading of the report and precise feedback. We really appreciate your time and we will seek to integrate your feedback into the final version of the report. 

    Kind regards,

    Liise Lehtsalu 

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