Quantitative Assessment of Research Data Management Practices - 2025

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Authors: Markus Bossert, Merten Nikolay Dahlkemper, Carmen Jambé, Ellen Knappe, Christine R. Krebs, Ursula Loosli, Guillaume Antoine Pasquier, Sebastian A. C. Perrig, Igor Sarman, Schmid, Fabian, Daniela Subotic, Christopher Tremblay
+1 more Francesco Varrato
Cited by: 0

Abstract

This survey, composed of 7 parts, explores Research Data Management (RDM) practices across CERN, DaSCH, EPFL, ETH Zurich, FHNW, IHEID, Lib4RI (for Eawag, Empa, PSI and WSL), UniBas, UniBE, UNIL, and USI. The information gathered is instrumental in enhancing the institutional RDM services provided. Previous surveys, conducted at EPFL in 2017, 2019, 2021, 2023 primarily focused on the planning and publishing stages of the research data lifecycle, such as data management planning and open data dissemination. The 2025 survey explores further the concepts developed in the previous ones, such as: - Storage and Organization- Data sharing and collaboration platforms- Documentation and metadata usage- Formats and software- Governance and compliance- Publication and long-term archiving- Support and training This dataset was collected using the SurveyHero platform in compliance with GDPR and Swiss FADP regulations. enuvo GmbH acted as the data processor under a signed Data Processing Agreement. No personal identifiable information was purposefully collected, and data has been aggregated to further ensure respondents’ privacy. Included in this dataset: A CSV and XLSX file with the aggregated, anonymized data from the survey.Two PDF files containing graphical representations of the survey results, automatically generated by the SurveyHero platform in portrait and landscape mode.A README file providing context.This dataset is made openly available under the CC-BY 4.0 license. Users are encouraged to reuse it with appropriate attribution.

Fields of Study & Subjects

Research Data Management Practices Data Analysis and Archiving Optics and Image Analysis

Publication details

Journal / source
Infoscience (Ecole Polytechnique Fédérale de Lausanne)
Publication date
29 January 2026
Language
EN
Document type
Dataset