Methods to Evaluate Lifecycle Models for Research Data Management

被引：3

作者：

Weber, Tobias ^{[1
]}

Kranzlmueller, Dieter ^{[1
]}

机构：

[1] Akad Wissensch, Leibniz Rechenzentrum Bayer, Boltzmannstr 1, D-85748 Garching, Germany

来源：

BIBLIOTHEK FORSCHUNG UND PRAXIS | 2019年 / 43卷 / 01期

关键词：

Research data management; lifecycle models; evaluation;

D O I：

10.1515/bfp-2019-2016

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analyses of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical evaluation seems possible.

引用

页码：75 / 81

页数：7

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