RDM101 at TU Delft: Short and Long-Term Impact on Data Curation Skills

This poster reports a mixed-method evaluation of the impact of TU Delft’s three-week, blended RDM101 course. Using feedback from every run, pre/post surveys from four runs, and 13 semi-structured interviews (11 alumni, 2 data stewards), we assess short- and long-term impact on data curation skills. Short-term outcomes are substantial: awareness of institutional RDM support rose from 45% to 98%; reliance on secure institutional storage increased markedly with 90% of learners expressing they changed their storage strategies after the course and 81% established new backup routines; 98% felt better equipped to start or improve a DMP, frequently citing the Data Flow Map (DFM); FAIR understanding shifted from naming the acronym to enacting practices (documentation, metadata, README files). Intentions to publish data/code increased from 76% to 95%, with choices moving toward trusted repositories. Course alumni reported sustained organisation, documentation, and reproducibility practices, reduced anxiety about compliance, and continued engagement with data stewards. Drawing on these findings, we outline educational design principles for resilient RDM training to inform the 2026 course update: (1) blend modular and discipline-specific learning pathways with personalised feedback; (2) prioritize actionable skills over definitions; (3) sustain evaluation and timely updates.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-17
DOI
https://doi.org/10.5281/zenodo.18856824
Primary Topic
Research Data Management Practices
Type
article
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article

RDM101 at TU Delft: Short and Long-Term Impact on Data Curation Skills

Gargi Sunil Kulkarni, Carla Strubbia, Nikki Grens, Narmin Rzayeva et al.
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

RDM101 at TU Delft: Short and Long-Term Impact on Data Curation Skills

Gargi Sunil Kulkarni, Carla Strubbia, Nikki Grens, Narmin Rzayeva, Francesca Morselli, Paula Maria Martinez Lavanchy
article en

Abstract

This poster reports a mixed-method evaluation of the impact of TU Delft’s three-week, blended RDM101 course. Using feedback from every run, pre/post surveys from four runs, and 13 semi-structured interviews (11 alumni, 2 data stewards), we assess short- and long-term impact on data curation skills. Short-term outcomes are substantial: awareness of institutional RDM support rose from 45% to 98%; reliance on secure institutional storage increased markedly with 90% of learners expressing they changed their storage strategies after the course and 81% established new backup routines; 98% felt better equipped to start or improve a DMP, frequently citing the Data Flow Map (DFM); FAIR understanding shifted from naming the acronym to enacting practices (documentation, metadata, README files). Intentions to publish data/code increased from 76% to 95%, with choices moving toward trusted repositories. Course alumni reported sustained organisation, documentation, and reproducibility practices, reduced anxiety about compliance, and continued engagement with data stewards. Drawing on these findings, we outline educational design principles for resilient RDM training to inform the 2026 course update: (1) blend modular and discipline-specific learning pathways with personalised feedback; (2) prioritize actionable skills over definitions; (3) sustain evaluation and timely updates.

Zenodo (CERN European Organization for Nuclear Research)
Delft University of Technology (NL)
Openalex Percentile: Top 55%
Research Data Management Practices
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