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Data Management 2.0-Real World Adaptation and User Feedback

Presenter 1
Stefan Friedhoff
Bielefeld University

Due to the demands of progressively more sophisticated data management, many researchers face problems while adapting existing DM strategies to their own research processes. The INF project (Information and Data Infrastructure), which assists data documentation across 17 projects within a Collaborative Research Center (SFB882) in the social sciences, identified three main problems for implementing data management strategies: methodological problems (1); acceptance problems (2); and, problems of granularity (3). Based on open interviews, focus groups and surveys, we were able to identify specific problems in these areas and were able to develop both technical as well as methodological solutions. In this presentation we present a systematization of problems; the corresponding resolving strategies; show to what extent documentation can be standardized in a research center holding heterogeneous data; as well as where it becomes necessary to adapt specific solutions to overcome methodological differences.

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