The complexity of computationally-intensive scientific research poses great challenges for both research data management and research reproducibility. What metadata needs to be captured for tracking, reproducing, and reusing computational results is the starting point in developing metadata models to fulfill these functions of data management. This paper reports the findings from interviews with gravitational wave (GW) researchers, which were designed to gather user requirements to develop a metadata model. Motivations for keeping documentation of data and analysis results include trust, accountability and continuity of work. Research reproducibility relies on metadata that represents code dependencies and versions and has good documentation for verification. Metadata specific to GW data, workflows and outputs tend to differ from those currently available in metadata standards. The paper also discusses the challenges in representing code dependencies and workflows.
- Metadata modeling
- Research data management
- Research reproducibility
- User requirements
ASJC Scopus subject areas
- Library and Information Sciences
Qin, J. (2016). Metadata and reproducibility: A case study of gravitational wave data management. International Journal of Digital Curation, 11(1), 218-231. [doi:10.2218/ijdc.v11i1.399]. https://doi.org/doi:10.2218/ijdc.v11i1.399