Data Management Scan A method for measuring and boosting researchers' data management competence levels

DOI

The current data package contains the methodology of the research data management (RDM) scan that ran between December 2020 and April 2022 at Hanze University of Applied Sciences (UAS). The results of the project served as a useful source for further development of our RDM support.

At the core of this project are the semi-structured, informal, one-on-one interviews held by the information specialists of Hanze UAS with 169 members of the research community. The interviews served four objectives: (1) to boost the visibility of the available RDM support at the university, (2) to offer direct RDM support to the participants and thus (3) gain insight into their needs and challenges regarding RDM at Hanze UAS, and finally (4) to collect data about researchers' level of competence with respect to RDM.

Consequently, the data set consists of two parts: a quantitative part that can inform us about the RDM competence level of the researcher community at Hanze UAS, and a qualitative part that can inform us about gaps and areas of improvement for RDM support at our university. Additional information and documentation about our research method and examples of forms are included in the data package.

Identifier
DOI https://doi.org/10.34894/MLTJMY
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/MLTJMY
Provenance
Creator Poot, Marleen; Ham, Sabine van der ORCID logo; Abbink, Wilma
Publisher DataverseNL
Contributor Poot, Marleen; Ham, Sabine van der; Abbink, Wilma; Hanze University of Applied Sciences
Publication Year 2022
Funding Reference Regieorgaan SIA, SPR IMP 01 003
Rights CC-BY-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-sa/4.0
OpenAccess true
Contact Poot, Marleen (hanze.nl); Ham, Sabine van der (hanze.nl); Abbink, Wilma (hanze.nl)
Representation
Resource Type survey data; Dataset
Format application/pdf; text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 243641; 245204; 4203; 5313; 5271; 330613; 170781; 193919; 265828; 27798; 2293; 162910
Version 1.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Research Data Management
Spatial Coverage Groningen, The Netherlands