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Conquaire: Towards an architecture supporting continuous quality control to ensure reproducibility of research

Alternativer Titel
"Continuous quality control for research data to ensure reproducibility"
Autor(en)
Ayer, Vidya ; Pietsch, Christian ; Vompras, Johanna ; Schirrwagen, Jochen ; Wiljes, Cord ; Jahn, Najko ; Cimiano, Philipp 0000-0002-4771-441X
Normierter Zeitschriftentitel
D-lib magazine 
Name der Konferenz
International Conference on Theory and Practice of Digital Libraries (TPDL) , 1st International Workshop on Reproducible Open Science (RepScience2016)
DOI
10.1045/january2017-ayer
ISSN
1082-9873
URN
urn:nbn:de:0070-pub-29063567
URL
https://pub.uni-bielefeld.de/record/2906356

Weitere Details

Sprache
englisch
Darstellungsform
Text
Band
23
Ausgabe
1/2
Schlagwörter
Computational Reproducibility , Continuous Integration , DVCS , FOSS , Libre Software , OpenAccess , OpenData , OpenResearch , OpenScience , Research Data Management , Research Quality
Link zum Volltext (intern)
https://pub.uni-bielefeld.de/record/2906356
DDC
000

ABSTRACT
Recently, analytical reproducibility in scientific research has been a keenly discussed topic within scientific research organizations and acknowledged as an important and fundamental goal to strive for. Scientific studies published recently have found that irreproducibility is widely prevalent within the research community even after releasing data openly. At Bielefeld University, nine research project groups from varied disciplines have embarked on a `reproducibility` journey by collaborating on the Conquaire project as case study partners. This paper introduces the Conquaire project. In particular, we describe the goals and objectives of the project as well as the underlying system architecture that relies on a DCVS system for storing data and on continuous integration principles to foster data quality. We describe a first prototype implementation of the system and discuss a running example to illustrate the functionality and behaviour of the system.

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