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Chart for the Core Objectives of Data Publishing within Technical Infrastructure for Research Data Management

  • Academic data stewardship at universities has to fulfil many different roles. One of the most important is to build up a connection to researchers and bridge the gap between research data infrastructure and researchers. Different scientific communities have different requirements for research data management and expectations regarding text and data publication. In many of the sub-disciplines of engineering sciences, research data management practices are not established so far. When it comes to contact between data stewards and researchers, a common knowledge base has to be established to become clear about why and what actions for research data management has to take, that engineering researchers can adapt them for their research data management practices. Many research data management standards have to take into consideration. However, to this point of time, the research data management community lacks for data literacy graphics to explain how the technical data management ecosystem works together with standards like theAcademic data stewardship at universities has to fulfil many different roles. One of the most important is to build up a connection to researchers and bridge the gap between research data infrastructure and researchers. Different scientific communities have different requirements for research data management and expectations regarding text and data publication. In many of the sub-disciplines of engineering sciences, research data management practices are not established so far. When it comes to contact between data stewards and researchers, a common knowledge base has to be established to become clear about why and what actions for research data management has to take, that engineering researchers can adapt them for their research data management practices. Many research data management standards have to take into consideration. However, to this point of time, the research data management community lacks for data literacy graphics to explain how the technical data management ecosystem works together with standards like the findability, accessibility, interoperability and reuse (FAIR) principles. Therefore, we developed a graphic for data literacy and consulting scenarios.show moreshow less
Metadaten
Author:Ian WolffORCiDGND, Claudia LenzORCiD, Michael Panitz, Alexander PfriemORCiDGND
URN:urn:nbn:de:kobv:eb1-opus-8240
DOI:https://doi.org/10.5281/zenodo.8388953
Document Type:Conference Proceeding
Language:English
Year of Completion:2023
Publishing Institution:Hochschule für nachhaltige Entwicklung Eberswalde
Release Date:2024/01/08
Tag:data literacy; research data management; engineering sciences; chart
Page Number:1
Institutions / Departments:Zentrale Hochschuleinrichtungen
Fachbereich Holzingenieurwesen
open_access (DINI-Set):open_access
University Bibliography:University Bibliography
Zweitveröffentlichung
Peer-Review / Nicht ermittelbar
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
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