recORD - Landscape analysis of open research data assessment practices within Swiss higher education institutions

Ref. 2682

  

Dataset Overview

Dataset title

recORD - Landscape analysis of open research data assessment practices within Swiss higher education institutions

Canonical DOI

Used to cite the entire dataset, regardless of version updates.

https://doi.org/10.48573/s389-kw73

DOI

Used to cite a specific dataset version.

https://doi.org/10.48573/gv7c-ck37

Dataset description language

English

Data URL

-

Data Availability

-

Dataset Description

This dataset provides an overview of the current state of research assessment practices related to Open Research Data (ORD) within Swiss Higher Education Institutions (HEIs). The goal of this analysis is to delineate existing practices, requirements, and obstacles in assessing ORD across three levels: research proposals, individual researchers, and research units or institutions, depending on their administrative structures. The online survey was distributed to all Swiss universities, federal institutes of technology, universities of applied sciences, and universities of teacher education, according to the swissuniversities list from 2024. The survey focused on formalised research assessment practices and ORD policies and support.

Remarks about the documentation

The questionnaire "Survey on ORD Practices in Research Assessment" (file 32173) and the report "Assessing and Enabling Open Research Data Practices in Swiss Higher Education Institutions: A Comprehensive Landscape Analysis" (file 32176) provide an in-depth understanding of data collection and analysis.

Version number

1.0

Embargo end date

-

Publication date

07.11.2024

Version notes

Version 1.0

Bibliographical citation

Bornatici, C., Araujo, P., Heers, M., Ochsner, M., & Ramseyer, N. (2024). recORD - Landscape analysis of open research data assessment practices within Swiss higher education institutions (Version 1.0) [Data set]. FORS. https://doi.org/10.48573/gv7c-ck37

DIP MD5 hash

ce08f7789843dedd0759fcb78b2b8094

Dataset contents

/
metadata.yaml