How to Improve Research Data Management
| Autor: | Dominik Rudolph, Raimund Vogl, Christian Meske, Konstantin Wilms, Stefan Stieglitz |
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| Rok vydání: | 2016 |
| Předmět: |
Kommunikationswissenschaft
0301 basic medicine International research business.industry Computer science Data management 05 social sciences Context (language use) Usability Cloud computing Data science Set (abstract data type) 03 medical and health sciences 030104 developmental biology 0509 other social sciences 050904 information & library sciences business Research data |
| Zdroj: | Human Interface and the Management of Information: Applications and Services ISBN: 9783319403960 HCI (5) |
| DOI: | 10.1007/978-3-319-40397-7_41 |
| Popis: | The digitalization of research processes has led to a vast amount of data. Since third-party funding institutions progressively set standards and requirements regarding the handling of such data, research data management has become important in the context of international research collaboration projects. Simultaneously, adequate collaboration systems are needed to support scientists in this context. In this paper we discuss existing standards for research data management in the context of third-party funding and how cloud technology could support the fulfillment of existing provisions. |
| Databáze: | OpenAIRE |
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