PUB - Publikationen an der Universität Bielefeld

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• [9]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2953793

  Ayer, V., et al., 2021. Reproducing experiments on early verb understanding in infants. In P. Cimiano, C. Pietsch, & C. Wiljes, eds. Studies in Analytical Reproducibility: the Conquaire Project. Bielefeld: Universität Bielefeld, pp. 87-96.

  PUB | PDF
   
• [8]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2953786

  Günzel, Y., et al., 2021. Reproducibility of whole-body movement analyses of insects. In P. Cimiano, et al., eds. Studies in Analytical Reproducibility: the Conquaire Project. Bielefeld: Universität Bielefeld, pp. 29-42.

  PUB | PDF
   
• [7]
  

  2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2939350

  Ayer, V., et al., 2019. Automatische Qualitätskontrolle von Forschungsdaten durch kontinuierliche Integration mit GitLab CI. Presented at the Erste Konferenz für ForschungssoftwareentwicklerInnen in Deutschland (deRSE19), Potsdam.

  PUB | PDF | DOI
   
• [6]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933072

  Schirrwagen, J., et al., 2019. Expanding the Research Data Management Service Portfolio at Bielefeld University According to the Three-pillar Principle Towards Data FAIRness. Data Science Journal, 18(1): 6.

  PUB | PDF | DOI
   
• [5]
  

  2019 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2934466

  Pietsch, C., et al., 2019. Conquaire: Coupling a local GitLab instance with an institutional repository for instant research data publications. Presented at the Open Science Conference, Berlin.

  PUB | PDF | DOI | Download (ext.)
   
• [4]
  

  2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919659

  Schirrwagen, J., et al., 2018. Expanding the research data management service portfolio at Bielefeld University according to the three-pillar principle towards data FAIRness. Presented at the Göttingen-CODATA RDM Symposium 2018, Göttingen.

  PUB | PDF | Download (ext.)
   
• [3]
  

  2017 | Konferenzbeitrag | PUB-ID: 2916188

  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.

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• [2]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906356

  Ayer, V., et al., 2017. Conquaire: Towards an architecture supporting continuous quality control to ensure reproducibility of research. D-Lib Magazine, 23(1/2).

  PUB | PDF | DOI
   
• [1]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906864

  Ayer, V., Miguez, S., & Toby, B., 2014. Why scientists should learn to program in Python? Powder Diffraction Journal, 29(S2), p S48-S64.

  PUB | DOI | WoS