Dataset belonging to the publication "Data-Producing Methods in CRC 985: Recommendations for Research Data Management in Large Interdisciplinary Projects"

DOI

This data was collected and processed as part of the CRC 985 INF project. It was used to create an overview of the data-producing methods available and employed throughout the project and their associated file types. This information was used as a basis for the associated manuscript (see related identifiers). The Jupyter Notebook used to create the figures in the manuscipt is included within this dataset. Furthermore, the surveys give insight into research data management practices within this project and large, interdisciplinary projects in general.

Survey

Survey with CRC 985 members

Identifier
DOI https://doi.org/10.22000/1793
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.22000/1793
Provenance
Creator Parks, Nicole A. ORCID logo; Kröckert, Konstantin W. ORCID logo; Claßen, Fabian ORCID logo; Herres-Pawlis, Sonja ORCID logo; Müller, Matthias ORCID logo; Richtering, Walter ORCID logo
Publisher RWTH Aachen University
Contributor RADAR
Publication Year 2024
Funding Reference Deutsche Forschungsgemeinschaft 501100001659 Crossref Funder ID 191948804 https://gepris.dfg.de/gepris/projekt/191948804?language=en SFB 985: Functional Microgels and Microgel Systems; Deutsche Forschungsgemeinschaft 501100001659 Crossref Funder ID 441958208 https://gepris.dfg.de/gepris/projekt/441958208?context=projekt&task=showDetail&id=441958208& NFDI4Chem – Fachkonsortium Chemie in der NFDI
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Chemistry; Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Engineering; Engineering Sciences; Natural Sciences; Research Data Management
Temporal Coverage 2021-2023