Ergebnisse der Umfrage zum Umgang mit digitalen Forschungsdaten in Schleswig-Holstein (2018)

Weng, Franziska; Thoben, Stella; Paul-Stueve, Thilo; Farrenkopf, Stefan; Marten, H.; Helmkamp, Kerstin; Barth, Katja

doi:10.5281/zenodo.1216810

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this question group, question RSDP1 was adopted from references [Weng et al [2018], Simukovic et al [2013], Lemaire et al [2016] Hauck et al [2016]], RSDP7 from [Berghmans et al [2017]], RSDP4 from [Brenger et al [2019]], and RSDP10 was adopted from references [Paul-Stüve et al [2015], Weng et al [2018], Simukovic et al [2013]].…”

Section: Research Data Propertiesmentioning

confidence: 99%

“…In this question group, question SERVC1 was adopted from references [Fane et al [2019], Paul-Stüve et al [2015], Weng et al [2018], Simukovic et al [2013], Krähwinkel [2015]], and SERVC2 from references [Bauer et al [2015]].…”

Section: Servicesmentioning

confidence: 99%

“…[Paul-Stüve et al [2015],Weng et al [2018],Simukovic et al [2013],Bauer et al [2015],Lemaire et al [2016],Heinrich et al [2015],Hauck et al [2016], Feldsien-Sudhaus andRajski [2016]]. …”

unclassified

See 2 more Smart Citations

A survey on research data management practices among researchers in the Helmholtz Association

Arndt¹

2022

View full text Add to dashboard Cite

Annotation of research data with rich metadata is important to make that data findable, accessible, interoperable, and reusable (Wilkinson et al. [2016]). This ensures the conducted research data is durable. 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, advice and ensuring uniform scientific standards for the use of metadata. 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 was designed and disseminated among researchers in all six Helmholtz research fields. The conditional succession of the questions was aligned with predetermined expertise levels ("no prior knowledge", "intermediate prior knowledge", "high level of prior knowledge"). 631 completed survey replies were obtained for analysis. 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-directed support for the documentation of research data with metadata.

show abstract

Section: Research Data Propertiesmentioning

confidence: 99%

Section: Servicesmentioning

confidence: 99%

See 1 more Smart Citation

A survey on research data management practices among researchers in the Helmholtz Association

Arndt¹

2022

View full text Add to dashboard Cite

show abstract

“…Thus, this survey complements previous surveys on RDM status in Germany with agricultural scientists as participants that were mainly conducted at universities at the individual or state level. However, the latter did not specifically target agricultural scientists (<70 agricultural scientists as participants) and the number of questions on concrete needs has so far remained relatively small (e.g., [29][30][31][32][33]).…”

Section: Introductionmentioning

confidence: 99%

Research data management in agricultural sciences in Germany: We are not yet where we want to be

2022

View full text Add to dashboard Cite

To meet the future challenges and foster integrated and holistic research approaches in agricultural sciences, new and sustainable methods in research data management (RDM) are needed. The involvement of scientific users is a critical success factor for their development. We conducted an online survey in 2020 among different user groups in agricultural sciences about their RDM practices and needs. In total, the questionnaire contained 52 questions on information about produced and (re-)used data, data quality aspects, information about the use of standards, publication practices and legal aspects of agricultural research data, the current situation in RDM in regards to awareness, consulting and curricula as well as needs of the agricultural community in respect to future developments. We received 196 (partially) completed questionnaires from data providers, data users, infrastructure and information service providers. In addition to the diversity in the research data landscape of agricultural sciences in Germany, the study reveals challenges, deficits and uncertainties in handling research data in agricultural sciences standing in the way of access and efficient reuse of valuable research data. However, the study also suggests and discusses potential solutions to enhance data publications, facilitate and secure data re-use, ensure data quality and develop services (i.e. training, support and bundling services). Therefore, our research article provides the basis for the development of common RDM, future infrastructures and services needed to foster the cultural change in handling research data across agricultural sciences in Germany and beyond.

show abstract

Ergebnisse der Umfrage zum Umgang mit digitalen Forschungsdaten in Schleswig-Holstein (2018)

Cited by 2 publications

References 0 publications

A survey on research data management practices among researchers in the Helmholtz Association

A survey on research data management practices among researchers in the Helmholtz Association

Research data management in agricultural sciences in Germany: We are not yet where we want to be

Contact Info

Product

Resources

About