Abstract

Research Data Management at Bielefeld University is considered as a cross-cutting task among central facilities and research groups at the faculties. While initially started as project “Bielefeld Data Informium” lasting over seven years (2010–2015), it is now being expanded by setting up a Competence Center for Research Data. The evolution of the institutional RDM is based on the three-pillar principle: 1. Policies, 2. Technical infrastructure and 3. Support structures. The problem of data quality and the issues with reproducibility of research data is addressed in the project Conquaire. It is creating an infrastructure for the processing and versioning of research data which will finally allow publishing of research data in the institutional repository. Conquaire extends the existing RDM infrastructure in three ways: with a Collaborative Platform, Data Quality Checking, and Reproducible Research.

Highlights

  • Bielefeld University, founded in 1969, is guided by a high demand for interdisciplinary research and quality of research-oriented teaching

  • The data disclosure policies of publishers and funders (Peng, 2009; Stodden et al, 2013) require scientific research data to be published alongside the research publication to enable scientific reproducibility and Open Access

  • The DFG-funded project Continuous quality control for research data (Conquaire, 2016–2019)12 (Cimiano et al, 2015; Wiljes et al, 2013) at Bielefeld University supports analytical reproducibility (Ayer et al, 2017a) via a generic infrastructure architechture (Ayer et al, 2017b) that supports collaboration and easy data ­sharing with access to different versions of research data over time

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Summary

Introduction

Bielefeld University, founded in 1969, is guided by a high demand for interdisciplinary research and quality of research-oriented teaching. The technical infrastructure support is complemented by comprehensive advisory services on publication workflows and data management planning considering funders’ recommendations, policies, and mandates (DFG, 2015; EC, 2016), legal aspects (such as data protection, licensing of software). It includes support for the consideration of RDM aspects in the application for third-party funding in order to identify any issues with research data at an early stage of the research project. A digital humanities project is among our most active users: The Luhmann co-operative effort (http://www.uni-bielefeld.de/soz/luhmann-archiv/) with the University of Cologne uses our GitLab instance to annotate digitized index cards of Niklas Luhmann based on the XML language TEI

Data Quality and Analytical Reproducibility
Reproducibility Experiments
File IO issues
Non-homogeneous Data storage platform
Documentation
Licensing
Findings
Next steps and prospects – the Competence Center for Research Data Management
Full Text
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