Projects
The Metadata Analytics initiative subsumes several research projects. These include projects such as:
- investigating collaboration capacity in respect of biomedical research
- evaluating cyber-infrastructure enabled collaboration networks
Findings include insight into collaboration and the data-production phase and their combined influence on knowledge diffusion, a richer description of scientific collaboration through complex network analysis, a suggested workflow model comprising a definition of big metadata in the context of scientific data repositories, and more.
Keywords: big metadata; cyber-infrastructure; scientometrics; collaboration networks; knowledge diffusion
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The Metadata Modeling and Linking projects are concerned with a number of focus areas such as:
- alleviating the challenges of reproducibility and data management in complex distributed scientific endeavors such as gravitational wave detection
- applying modeling to linked data to make item-level metadata available for archival collection
- expanding on a modular approach with the aim of constructing a Linked Archive model
Insights from these projects include a functional ontological mapping of unique but interrelated archival items in relation to one another, and the enabling of data discovery and analysis, and more.
Keywords: domain metadata; metadata modeling; linked data; modeling; archives metadata
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The Knowledge Organization and Representation initiative entails various projects. Recent research includes, but is not limited to:
- mitigating the issues of named entity disambiguation amid the process of representing archival data as linked data
- exploring the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI
- articulating relation types existing within and between datasets of various domains
Findings include a noted difference between the purposes of KO and KR, in that the former is focused on standardization; the latter on problem-solving. Other insights include a further elaboration of the difficulties of a unified relation typology, and more.
Keywords: named entity disambiguation; Wikidata; entity managemen; knowledge organization; knowledge representation
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The Metadata for Research Data Management (RDM) initiative is composed of several projects. These projects include poster presentations, case studies, and functional developments such as:
- reporting on the linking mechanism in data repositories in terms of link type and functionality in consideration of FAIR data principles
- creating a metadata application profile (AP), metaFAIR, as a means of supporting RDM and employing FAIR data principles
- interviewing gravitational wave researchers to gather requirements to develop a metadata model
Findings include a broader understanding of the influence of linking mechanisms on a researcher’s ability to track data from their origin to resulting data products, the need for promoting specified qualities of reproducibility in computationally-intensive scientific research, and more.
Keywords: reproducibility; research data management; linking mechanisms, metadata application profile; fair data principles
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