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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23073
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dc.contributor.authorFürholz, Andreas-
dc.contributor.authorJaekel, Martin-
dc.date.accessioned2021-09-03T14:10:00Z-
dc.date.available2021-09-03T14:10:00Z-
dc.date.issued2021-
dc.identifier.issn1661-1802de_CH
dc.identifier.urihttp://www.ressi.ch/specialdlcmde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23073-
dc.description.abstractPublicly available research data (Open Research Data) are a main pillar of Open Science and can be considered as a good measure to increase the effectiveness, transparency and reproducibility of scientific research. However, the rather new scientific practice of Open Research Data sets new demands on best practices in research data management and raises questions regarding the data publication itself, for example finding a suitable data repository or the consideration of legal aspects. To investigate these practical questions, 12 pilot projects were carried out within the DLCM 2.0 project. Research data were published in a variety of disciplines and related processes where reflected in workshops within the project consortium. The pilot projects have provided an insight into the characteristics of individual research data life cycles. A key finding is that the path to open research data is very domain specific. Based on this experience, we think that the individual research communities – as predominant re-users of research data – must develop discipline-specific standards, best practices and data processing workflows. We believe that this is the most important success criterion for data exchange and should be promoted in parallel with meeting the FAIR data principles and an appropriate data curation. To promote this development, support measures are needed at various levels. On the one hand, there is a need for cross-border initiatives to support the communities developing their standards and best practices. On the other hand, researchers must have the appropriate infrastructure, training and support on local level. We consider the latter to be particularly important. That is why we have set up a data stewardship model at our university, where researchers can receive active support over the entire research data lifecycle.de_CH
dc.language.isoende_CH
dc.publisherRESSIde_CH
dc.relation.ispartofRevue électronique Suisse de science de l’informationde_CH
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0/de_CH
dc.subjectOpen sciencede_CH
dc.subjectOpen research datade_CH
dc.subjectResearch data managementde_CH
dc.subjectData stewardshipde_CH
dc.subjectElectronic laboratory notebookde_CH
dc.subject.ddc000: Allgemeines und Wissenschaftde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleData life cycle management pilot projects and implications for research data management at universities of applied sciencesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementRektorat und Ressortsde_CH
zhaw.organisationalunitRessort Forschung & Entwicklungde_CH
zhaw.publisher.placeCarougede_CH
dc.identifier.doi10.21256/zhaw-23073-
zhaw.conference.details3rd Swiss Research Data Day, online, 22 October 2020de_CH
zhaw.funding.euNode_CH
zhaw.issueSpécial DLCMde_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end46de_CH
zhaw.pages.start32de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Fürholz, A., & Jaekel, M. (2021). Data life cycle management pilot projects and implications for research data management at universities of applied sciences [Conference paper]. Revue Électronique Suisse de Science de L’information, Spécial DLCM, 32–46. https://doi.org/10.21256/zhaw-23073
Fürholz, A. and Jaekel, M. (2021) ‘Data life cycle management pilot projects and implications for research data management at universities of applied sciences’, in Revue électronique Suisse de science de l’information. Carouge: RESSI, pp. 32–46. Available at: https://doi.org/10.21256/zhaw-23073.
A. Fürholz and M. Jaekel, “Data life cycle management pilot projects and implications for research data management at universities of applied sciences,” in Revue électronique Suisse de science de l’information, 2021, no. Spécial DLCM, pp. 32–46. doi: 10.21256/zhaw-23073.
FÜRHOLZ, Andreas und Martin JAEKEL, 2021. Data life cycle management pilot projects and implications for research data management at universities of applied sciences. In: Revue électronique Suisse de science de l’information [online]. Conference paper. Carouge: RESSI. 2021. S. 32–46. Verfügbar unter: http://www.ressi.ch/specialdlcm
Fürholz, Andreas, and Martin Jaekel. 2021. “Data Life Cycle Management Pilot Projects and Implications for Research Data Management at Universities of Applied Sciences.” Conference paper. In Revue Électronique Suisse de Science de L’information, 32–46. Carouge: RESSI. https://doi.org/10.21256/zhaw-23073.
Fürholz, Andreas, and Martin Jaekel. “Data Life Cycle Management Pilot Projects and Implications for Research Data Management at Universities of Applied Sciences.” Revue Électronique Suisse de Science de L’information, no. Spécial DLCM, RESSI, 2021, pp. 32–46, https://doi.org/10.21256/zhaw-23073.


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