Papers: Open and FAIR Bibliographic Metadata

Starts at
04 Oct 22 20:00 UTC
Finishes at
04 Oct 22 21:00 UTC
Virtual Conference Room A
Marie-Claude Côté


  • Marie-Claude Côté

    Library and Archives Canada

    Marie-Claude Côté is an expert advisor in information management (IM) and project management (PM) at Library and Archives Canada (LAC). In her new role, she keeps advising Government of Canada (GC) departments and agencies on (IM) practices, while developing LAC's PM capacity. Marie-Claude has held IM- and metadata-related management and analyst positions at the Treasury Board of Canada Secretariat, the Department of Canadian Heritage, the Canadian International Development Agency, and Industry Canada. After obtaining her Master’s Degree in Library and Information Science (MLIS), she worked in municipal and private sector libraries before joining the federal public service. For the last 25 years, she has contributed to the development of the IM domain in the GC. Marie-Claude has also taught the courses of the IM Curriculum at the Canada School of Public Service. She is a certified project management professional (PMP), and is extending her knowledge and experience in this field.



Authors: Karen Coyle

This paper proposes the creation of a version of the FRBR objects Work, Expression, Manifestation, and Item (WEMI) with minimal semantic commitment. Evidence already exists for uses of WEMI in metadata communities beyond libraries. These uses are hindered, however, by specific constraints in the original design. openWEMI would provide the flexibility needed for these and more varied uses.

  • Karen Coyle


    Karen Coyle is a librarian with decades of experience with metadata. Karen has been active in the development and management of metadata standards serving a variety of communities. She is currently investigating the possibilities offered by the semantic web and linked data technology, working with the Dublin Core Metadata Initiative and taking part in standards efforts of the World Wide Web Consortium.

How FAIR is MARC?: FAIR data principles and bibliographic data

Authors: Brian Dobreski, Heather Moulaison-Sandy, Bradley Wade Bishop

FAIR Data Principles provide a framework for considering how best to make data available in a way that is 1) findable, 2) accessible, 3) interoperable, and 4) reusable. Designed to be simple to understand and machine-actionable, FAIR principles support data use and reuse. This conceptual paper investigates the application of FAIR principles to bibliographic data through an examination of the current standard for encoding library records, MARC. To this end, this paper begins by describing the FAIR principles. It then looks to understand the MARC standard and applies the FAIR principles to the data affordances provided by the MARC encoding itself. In doing so, it probes the question of the extent to which MARC, as a standard, is FAIR. Ultimately, MARC is historically designed for machine-readability, not machine-actionability; although it is well suited to the description of bibliographic materials and is widely used, it does not adhere fully to any of the four FAIR principles. Even so, this examination suggests that FAIR principles could be useful in assessing specific MARC record datasets, particularly as bibliographic data is more widely shared and reused.

  • Brian Dobreski

    University of Tennessee, Knoxville

    Brian Dobreski is an Assistant Professor in the School of Information Sciences at University of Tennessee-Knoxville. His research focuses on the social implications of metadata, classification, resource description, and other knowledge organization practices, as well as the concepts of personhood and personal identity in information. Brian received his Ph.D. in information science from Syracuse University.