Sonraí is pleased to share the outcomes of a recent UCD MLIS Service Learning internship hosted in partnership with Asiera. Over four weeks, Ruoxin Liu, collected and analysed 43 data steward job descriptions from 13 European countries, producing both a structured dataset and a gap analysis report.

The data steward profession is still developing across Europe. This study compared two established European competency frameworks, Skills4EOSC and RDNL, against the skills that European employers actually ask for in job postings. The aim was to identify two kinds of gap: skills the frameworks cover but employers rarely request, and skills employers expect but the frameworks do not address.

Three findings stand out from the academic sector:

  • The frameworks align reasonably well with academic employer expectations overall. However, open access work and stakeholder bridging appear frequently in job postings without holding a distinct position in the framework. Open access is currently absorbed into broader categories, while stakeholder bridging sits inside the general area of soft skills, even though employers describe it as a specific role-level responsibility.
  • Research Software Management is defined by the frameworks as managing research code as a scholarly output. However, academic employers more often ask for everyday tools such as Python, SQL and Power BI for processing research data. Therefore, the content covered by this framework definition is only a part of the concept of software skills as defined by academic employers.
  • Academic and industry data stewards are described in noticeably different terms across the sample. This suggests that they should be treated as related but separate occupations rather than two versions of the same role.

For Sonraí, these findings offer a starting point for shaping data steward training in the Irish academic landscape. Skills4EOSC and RDNL can serve as a useful baseline, with additional emphasis placed on open access work, stakeholder bridging, and practical software skills that reflect how academic data stewards actually work day to day.

We hope these findings will support ongoing conversations across the Irish Open Research community as the data steward role continues to develop. Full report and dataset are available and linked below.

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