Defining Meaningful Metrics for DataverseNL: Stakeholder Perspectives & Practical Solutions

Abstract DataverseNL provides multiple ways to track dataset activity, but are the existing metrics sufficient for all stakeholders? This interactive workshop will bring together researchers, institutional managers, data stewards, and policymakers to explore what metrics they need, how current DataverseNL metrics align with these needs, and where gaps exist. Through collaborative exercises, participants will define key use cases, assess available metrics, and propose new ways to measure data reuse and impact. The session will result in actionable insights to help improve the usefulness of DataverseNL’s metrics. For whom? Anyone interested in research data metrics, including researchers, data professionals, institutional managers, and DataverseNL administrators. Duration 2.5 hours Format Interactive discussions, group activities, and hands-on problem-solving.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17190979
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Defining Meaningful Metrics for DataverseNL: Stakeholder Perspectives & Practical Solutions

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Defining Meaningful Metrics for DataverseNL: Stakeholder Perspectives & Practical Solutions

article en

Abstract

Abstract DataverseNL provides multiple ways to track dataset activity, but are the existing metrics sufficient for all stakeholders? This interactive workshop will bring together researchers, institutional managers, data stewards, and policymakers to explore what metrics they need, how current DataverseNL metrics align with these needs, and where gaps exist. Through collaborative exercises, participants will define key use cases, assess available metrics, and propose new ways to measure data reuse and impact. The session will result in actionable insights to help improve the usefulness of DataverseNL’s metrics. For whom? Anyone interested in research data metrics, including researchers, data professionals, institutional managers, and DataverseNL administrators. Duration 2.5 hours Format Interactive discussions, group activities, and hands-on problem-solving.

Zenodo (CERN European Organization for Nuclear Research)
Utrecht University (NL)
Openalex Percentile: Top 34%
Research Data Management Practices
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