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Methods to Evaluate Lifecycle Models for Research Data Management

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arxiv 1901.11267 v1 pith:IT4O23DO submitted 2019-01-31 cs.DL

Methods to Evaluate Lifecycle Models for Research Data Management

classification cs.DL
keywords modelsdatalifecycleresearchmanagementabstractanalysisapproaches
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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 analysis 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.

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