This study investigates how metadata can help experts decide whether an existing mapping artefact can be reused in a new project. The research forms part of a PhD in Computer Science at Trinity College Dublin.
In this study, a mapping artefact means a technical specification used to transform, align, or connect data. Examples include an interlinking rule, an RML mapping, and an ontology alignment.
Important:
You are not being asked to judge the full technical correctness of the artefact itself.
You are being asked whether the metadata description gives you enough information
to make an informed reuse decision.
Please note:
Please base your responses only on the information shown in the study pages.
External searching or additional resources are not required.
Estimated duration: approximately 15–20 minutes in total. For questions about the study, please contact salzahra@tcd.ie . |
This research investigates how metadata can support the discovery and reuse of mapping artefacts. In the study, participants review three example artefacts and compare two metadata models that describe each artefact.
Procedures: If consent is provided, participation involves completing three short reuse scenarios and a brief questionnaire after each one. The study consists solely of reviewing scenario information and evaluating metadata documentation. No personal identifiers are collected.
Voluntary participation: Participation is voluntary. The study may be discontinued at any time by closing the page. Any question may be left unanswered without penalty.
Anonymity and data handling: Participation is anonymous and no personal details are required. Responses will be analysed for academic research purposes and reported only in aggregated form in publications and a PhD thesis. Data will be stored securely for up to two years and then deleted. Once responses are fully anonymised, withdrawal may no longer be possible.
Data protection: Any processing of research data will be conducted in accordance with the General Data Protection Regulation (GDPR).
I consent to participate in this study.