• Output Type: Working Group Supporting Output
  • Review Status: Endorsed
  • Review Deadline: 2022-11-12
  • 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 – 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. 


  • Group Technology focus: Data (Output) Management Planning
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