2026-06-25T02:31:44Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

49087506960b985351aea1f4a1b8f0139c9cff8be7c755f93ae5a344b1b07c1e 2026-06-02T13:49:43Z language:enopenaire_data

DDI study level documentation for study 10.7802/2433 HMC Community Survey 2021 HMC Community Survey 2021 HMC Community Survey 2021 10.7802/243310.7802/243310.7802/243310.7802/2433 Arndt, Witold Arndt, Witold Gerlich, Silke Christine Gerlich, Silke Christine Hofmann, Volker Hofmann, Volker Kubin, Markus Kubin, Markus Kulla, Lucas Kulla, Lucas Lemster, Christine Lemster, Christine Mannix, Oonagh Mannix, Oonagh Nolden, Marco Nolden, Marco Rink, Katharina Rink, Katharina Schweikert, Jan Schweikert, Jan Shankar, Sangeetha Shankar, Sangeetha Söding, Emanuel Söding, Emanuel Steinmeier, Leon Steinmeier, Leon Suess, Wolfgang Suess, Wolfgang [Helmholtz-Gemeinschaft Deutscher Forschungszentren] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften Metadata annotation guarantees sustainability of research data as it ensures their long-term findability, accessibility, interoperability and reusability. Within the Helmholtz Association, the Helmholtz Metadata Collaboration (HMC) coordinates the mission to enrich Helmholtz-based research data with metadata by providing (information about) technical solutions, consultations and ensuring uniform scientific standards for the use of metadata. <br> In 2021 HMC conducted its first community survey to align its services with the needs of Helmholtz researchers. A question catalogue, with 49 (sub-)questions based on an expertise-adaptive approach, was designed and disseminated among researchers in all six Helmholtz research fields. 631 completed survey replies were obtained for analysis. <br> The HMC Community Survey 2021 provides insight into the management of research data as well as the data publication practices of researchers in the Helmholtz Association. The characterization of research-field-dependent communities will enable HMC to further develop targeted, community-driven support for the documentation of research data with metadata.Metadata annotation guarantees sustainability of research data as it ensures their long-term findability, accessibility, interoperability and reusability. Within the Helmholtz Association, the Helmholtz Metadata Collaboration (HMC) coordinates the mission to enrich Helmholtz-based research data with metadata by providing (information about) technical solutions, consultations and ensuring uniform scientific standards for the use of metadata. <br> In 2021 HMC conducted its first community survey to align its services with the needs of Helmholtz researchers. A question catalogue, with 49 (sub-)questions based on an expertise-adaptive approach, was designed and disseminated among researchers in all six Helmholtz research fields. 631 completed survey replies were obtained for analysis. <br> The HMC Community Survey 2021 provides insight into the management of research data as well as the data publication practices of researchers in the Helmholtz Association. The characterization of research-field-dependent communities will enable HMC to further develop targeted, community-driven support for the documentation of research data with metadata. GermanyGermany The survey addressed the entire scientific staff in all Helmholtz research centres in Germany (about 26,600). Department leaders, institute leaders, and other staff working in the area of management and coordination were not a part of the target group. Self-administered questionnaire:CAWI(Computer-assisted web interviewing)Self-administered questionnaire:CAWI(Computer-assisted web interviewing) Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2433 2025-11-08 ddi:codebook:2_5