Development of DMP Services since 2015

We regularly provide feedback on DMPs and now is time a review of our own performance. To achieve this, we analyse DMPs stored since 2015 by conducting a content analysis of the feedback provided by the data team. In addition, we interview the people who have supported data management planning, including a long-standing members of the data team, more recent recruits and experts outside the data team such as IT specialists and legal experts. This analysis will identify changes in the focus of our feedback, shifts in comment topics, and the evolution of DMPs over time. Our study has two main objectives: firstly, to document our work and identify potential areas for improvement, and secondly, to improve our feedback guidelines and DMP instructions for researchers. The findings of this study will also support the development of the university’s machine-actionable DMP (maDMP) template. Our aim is to improve our data management planning support to ensure it effectively meets the needs of researchers.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-19
DOI
https://doi.org/10.5281/zenodo.14947866
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Development of DMP Services since 2015

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

Development of DMP Services since 2015

article en

Abstract

We regularly provide feedback on DMPs and now is time a review of our own performance. To achieve this, we analyse DMPs stored since 2015 by conducting a content analysis of the feedback provided by the data team. In addition, we interview the people who have supported data management planning, including a long-standing members of the data team, more recent recruits and experts outside the data team such as IT specialists and legal experts. This analysis will identify changes in the focus of our feedback, shifts in comment topics, and the evolution of DMPs over time. Our study has two main objectives: firstly, to document our work and identify potential areas for improvement, and secondly, to improve our feedback guidelines and DMP instructions for researchers. The findings of this study will also support the development of the university’s machine-actionable DMP (maDMP) template. Our aim is to improve our data management planning support to ensure it effectively meets the needs of researchers.

Zenodo (CERN European Organization for Nuclear Research)
University of Helsinki (FI)
Openalex Percentile: Top 45%
Research Data Management Practices
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