Enabling Git based research data quality control for institutional repositories

Ayer V, Pietsch C, Vompras J, Schirrwagen J, Wiljes C, Peil V, Cimiano P (2017)
Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.

Konferenzbeitrag | Englisch
 
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Abstract / Bemerkung
Reproducibility of scientific research data has been error-prone for contextually sensitive studies like Psychology with pharmaceutical clinical trials having lower success rates. However, “analytical reproducibility” of a statistical analysis is mathematically achievable when the research data artifacts are public. The DFG-funded Conquaire project at Bielefeld University is developing a generic architecture based on GitLab to support computational reproducibility of research data. One aspect of the project is to examine and develop solutions to track released versions of research data and corresponding source code in institutional repositories for proper persistent identification, dissemination and visibility of computational research artefacts. In this respect, the presentation will focus on usage scenarios with Conquaire pilot partners which inform the functional requirements on deposition, ingestion and publication workflows of the institutional repository platform LibreCat.
Stichworte
analytical reproducibility; research data quality control; continuous integration; research data repository
Erscheinungsjahr
2017
Konferenz
Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting
Konferenzort
Barcelona
Konferenzdatum
2017-04-07 – 2017-04-07
Page URI
https://pub.uni-bielefeld.de/record/2916188

Zitieren

Ayer V, Pietsch C, Vompras J, et al. Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., & Cimiano, P. (2017). Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., and Cimiano, P. (2017).“Enabling Git based research data quality control for institutional repositories”. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., et al., 2017. Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
V. Ayer, et al., “Enabling Git based research data quality control for institutional repositories”, Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona, 2017.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., Cimiano, P.: Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona (2017).
Ayer, Vidya, Pietsch, Christian, Vompras, Johanna, Schirrwagen, Jochen, Wiljes, Cord, Peil, Vitali, and Cimiano, Philipp. “Enabling Git based research data quality control for institutional repositories”. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona, 2017.
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2019-09-25T06:53:06Z
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