How to Improve Research Data Management The Case of Sciebo (Science Box)

被引：5

作者：

Wilms, Konstantin ^{[1
]}

Meske, Christian ^{[1
]}

Stieglitz, Stefan ^{[1
]}

Rudolph, Dominik ^{[2
]}

Vogl, Raimund

机构：

[1] Univ Duisburg Essen, Dept Comp Sci & Appl Cognit Sci, Essen, Germany

[2] Univ Munster, ZIV Ctr Appl Informat Technol, Munster, Germany

来源：

HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: APPLICATIONS AND SERVICES, PT II | 2016年 / 9735卷

关键词：

Cloud computing; Usability; Research data management; Technology adoption;

D O I：

10.1007/978-3-319-40397-7_41

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：434 / 442

页数：9

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