Data stewardship through the lens of Open Science Career Assessment Matrix

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Authors: Antti Mikael Rousi, Xiaolong Liu, Lara Farzaneh Ejtehadian, Richard K. Darst, Pedro Silva, Udayanto Dwi Atmojo
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Abstract

Data stewardship is a key expertise needed for the transformation towards more open and transparent science. This is particularly relevant in research institutions, where data stewards play a direct role in supporting research under open science requirements. However, the absence of established frameworks and merits for assessing this expertise has hindered recognition, professional development, and the integration of data stewardship into institutional practices. This work aims to examine how multidisciplinary data stewardship work transpires through the Open Science Career Assessment Matrix (OS-CAM); a tool designed to assess open science contributions across various dimensions. Using a case study approach, we report findings from a workshop where a multidisciplinary team of experts engaged in data stewardship described their work in relation to OS-CAM. This work presents a summary of the CV narratives and suggested merits for data stewardship developed in the workshop. Assessing data stewardship through OS-CAM provides a structured framework for evaluating, recognising, and rewarding these contributions, thereby increasing their visibility in academic and professional evaluations. However, our study also reveals notable gaps in OS-CAM’s coverage of data stewardship, particularly the underrepresentation of infrastructure-related activities such as the management of data repositories. It is important to note that while OS-CAM may offer value in academic research settings, it is less applicable for data stewardship roles that extend beyond research or open science. Therefore, we recommend further research to include diverse institutions and participants, combined with other complementary frameworks, for a more comprehensive understanding of data stewardship’s contribution to science and its recognition in or beyond academic communities.

Fields of Study & Subjects

Research Data Management Practices scientometrics and bibliometrics research Research Science and Academia

Publication details

Journal / source
International Journal of Digital Curation
Volume
19
Issue
1
Publication date
20 January 2026