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Data Management Planning 

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Ressourcen-Details

Ressource (ID)

123

Zugriff

offen

Autor*in/Ersteller*in

Hausen, Daniela Adele; Schmitz, Dominik; Trautwein-Bruns, Ute

ORCiD

0000-0003-0531-0182
0000-0001-9083-0670
0000-0002-2362-4372

Mitwirkende

Barodte, Wolfram; Dunker, Vasco; Nguyen, Duc Tam

Geeignet für...

online

Veranstaltungsformat

Selbstlernangebot

Materialformat

Video

Zielgruppe

Data Manager, Data Stewards, Forschende (PostDoc), Forschende (Projektleitung), Promovierende, Studierende (Master)

Thema

Datenmanagementplan

Fachbereich

generisch, allgemein

Dauer

0 - 15 Minuten

DOI

10.18154/RWTH-2019-10062

Vorkenntnisse

Keine

Sprache

Englisch

Stichwörter

Forschungsdatenmanagement, FDM, Research Data Management, Datenmanagementplan, RDM, research data life cycle, DMP, data management plan

Land

Deutschland

Datum

2020

Community

FDM@RWTH

Lizenz

Creative Commons logo with terms by
Creative Commons Attribution 4.0 International (CC BY 4.0)

Kurzbeschreibung

"Data Management Planning" is an educational video on research data management. The video explains briefly the concept of a data management plan (DMP) and it' s advantages for research. The DMP is a document that describes the data management for a specific research project. In general, it covers all necessary steps in the life cycle of research data - from collection to preservation and publication. Not everything can be foreseen and planned beforehand, so it should be created at the beginning of the project, but must be updated over time. A DMP should be more than a formal document. Even if the creation and maintenance of the document initially costs a lot of time and effort, it has many advantages for research community. All data management actions are considered and coordinated right from the start and the resources and responsibilities are clarified. Data documentation is coordinated and the conditions for access and reuse are clarified. In the end, a lot of time for discussion and explanation is saved during the research process and the quality and reusability of research data is ensured.

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