TY  - JOUR
AB  - 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.
DA  - 2017
DO  - 10.1045/january2017-ayer
KW  - Computational Reproducibility
KW  - Research Data Management
KW  - Continuous Integration
KW  - DVCS
KW  - Libre Software
KW  - OpenAccess
KW  - OpenData
KW  - OpenResearch
KW  - OpenScience
KW  - Research Quality
KW  - FOSS
LA  - eng
IS  - 1/2
PY  - 2017
SN  - 1082-9873
T2  - D-Lib Magazine
TI  - Conquaire: Towards an architecture supporting continuous quality control to ensure reproducibility of research
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29063567
Y2  - 2024-11-21T22:24:59
ER  -