Data models for data audit reports and their communication and support strategies

Publikation: Andere BeiträgeSonstiger Beitrag

Abstract

This package of dataset contains two data models and a template for data audit reports as well as communication and support strategy created for large Collaborative Research Centres (CRC) e.g. TRR277 AMC (a CRC funded by German Research Council). The research workloads in such centres are usually distributed in projects and work packages. The data generated in these research projects may range from surveys, lab experiments, simulations, data models to software code and hardware design as well as real world objects etc. Apart from maintaining data management plan (DMP), maintenance of metadata, compliance with particular research data policy and the use of specific information infrastructure e.g. in this case TUM Workbench, DSS/ Globus, mediaTUM are considered mandatory. Reports about data are generated for various reasons and in different forms in these centres.

The report template is in tabular form which is also suitable for spreadsheet formats, Web/digital form. Data models, one for project leaf and one for project node, are in JSON format. These are suitable for generating reports programmatically. The data types of values in data models have been represented using dummy corresponding values e.g. 1 for Number, true for Boolean etc. for easy understanding of the recipients.

Some of the contents of this package are based on AMC specific policy, infrastructure and the distribution of projects. Those contents may be modified by target groups as per their own policy, infrastructure and the distribution of workloads etc. The charts and diagrams representing statistics based on these reports may also be adopted as per preferences.
OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 2024

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