Data Description of DOI 10.5880/TR32DB.KGA96.11

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Citation:Recker, Jonas; Katsanidou, Alexia (2016): How to Manage Data Management? Challenges Facing New Projects and How to Address Them. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten. DOI: 10.5880/TR32DB.KGA96.11
Title(s):Main Title: How to Manage Data Management? Challenges Facing New Projects and How to Address Them
Description(s):Abstract: The requirements of research data management (RDM) and data sharing can seem quite overwhelming for researchers and principle investigators, particularly if they come up relatively late in a project. However, as this article hopes to demonstrate, if considered early on in the research and addressed consistently throughout, data anagement is a manageable effort. In fact, many researchers will find that what nowadays we call ‘research data management’ – understood as the entirety of practices and procedures employed to protect, validate, and describe data with the ultimate objective of keeping them accessible and understandable – actually has a considerable overlap with the standard, day-to-day research practices they have been employing all along. And while planning and implementing research data management certainly involves a somewhat greater effort initially, this investment will pay off later in the project in the form of higher-quality data and efficient use of available resources. Exploring the what, why, when, and how of data management, this article seeks to de-mystify RDM procedures and encourages researchers to reach out to existing support services for help.
Series Information: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 69-76
Contributor(s):Editor: Curdt, Constanze, University of Cologne
Editor: Willmes, Christian, University of Cologne
Data Manager: Transregional Collaborative Research Centre 32, Meteorological Institute, University of Bonn
Hosting Institution: University of Cologne, Regional Computing Centre (RRZK)
Distributor: unknown, unknown
Subject(s):CRC/TR32 Keywords: Data Management, Research Data
Date(s):Issued: 2016-12-29
Related Identifier(s):Is Part Of: ISBN: 0454-1294
Language:English
Resource Type:Text/Workshop paper
Format:application/pdf
Size(s):8 Pages
213 Kilobytes
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
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Contact:Tanja Kramm

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