Synthesize a conceptual model for quality assessment of linked bibliographic data
Compile a gold standard dataset of linked bibliographic data using the BIBFRAME vocabulary (Aalberg et al., 2018; Decourselle, 2016)
Implement the conceptual model metrics in an automated assessment tool
Significance
Constructivist grounded theory is a new approach to model development for data quality
Gold standard dataset will ease the efforts of other researchers, in data quality and other inquiries
Assessment tool should enable libraries to evaluate and improve their linked bibliographic data early
Methodologies
Surveys
Interviews
Card sorting
Content analysis
Log analysis
Functional requirements heuristics
Deductive reasoning
Automated tools
Aggregations
From national union catalogues, cooperative cataloguing efforts, and OAI-PMH harvested records, to open knowledge graphs
Boissonas (1979);
Bruce & Hillman (2004);
Debattista et al. (2018);
El-Sherbini (2010);
Färber et al. (2017);
Hider & Tan (2008);
Moen et al. (1998);
Stvilia et al. (2007);
Fitness for use
Heavy dependence on IFLA LRM (2017) tasks:
Find
Identify
Select
Obtain
Explore
Data consumers
"Data consumers" depend on context
Linked data broadens possible contexts
Consumers... but also producers?
Assessing the quality of linked bibliographic data
Dan Scott <https://dscott.ca/#i>
PhD student, McGill University
2019-04-02
First, I want to acknowledge that McGill University is located on
land which has long served as a site of meeting and exchange
amongst Indigenous peoples, including the Haudenosaunee and
Anishinabeg nations.
To situate myself, my family is of English and Irish settler origin,
and my mother's side traces our arrival to the New York region
of North America in the 1700's, before crossing into southern
Ontario as part of the Loyalist movement. Since 2005 I've lived in
Sudbury, Ontario, which is the territory of the Atikemkshing
Aniishnabek in the Robinson-Huron Treaty territory, where I have
worked as a systems librarian at Laurentian University.
That last piece partially explains why I'm interested in data
quality of linked bibliographic data.