(Please excuse cross-posting)

Dear colleagues,

Thanks to everyone who attended our Pt. 1 session of "MARC & BIBFRAME" last 
Wednesday. We believe we had three very informative presentations. This is a 
friendly reminder that The MARC Formats Transition Interest Group 
(MFTIG)<https://connect.ala.org/core/communities/community-home?CommunityKey=bfdc5746-8b0b-4d09-a1b5-042f7f95abdd>
 has another session this coming Friday to explore further the current state of 
the MARC formats and their transition in the linked data environment!


Session Title: MARC and Its Transition in the Linked Data Environment

Pt.2: MARC to Linked Data - More Possibilities -- Friday, 3/15/2024 (2-3pm 
EST/1-2pm CST/11am-12pm PST):

#1. “Integrating Linked Data into Cataloging Workflows” by Anne Washington, OCLC

#2. “Everything You Wanted to Know About 'Linky MARC' (and Were Definitely Not 
Afraid to Ask, Being Librarians)” by Abby Dover, Northwestern University

#3. “Using Linked Open Data to Build a Culture of Collaboration at Yale 
University” by Timothy A. Thompson, Yale University Library

Registration link for Pt. 2: 
https://ala-events.zoom.us/webinar/register/WN_8W3jzHC_QuStcNIsIcyg3A#/registration

Details are as follows:


“Pt.2: MARC to Linked Data - More Possibilities" on Friday, 3/15/2024:

Presentation Pt.2-#1:

Title: Integrating Linked Data into Cataloging Workflows

Presenter: Anne Washington, Product Analyst, OCLC

Summary: As libraries continue to focus on new ways to facilitate the creation 
and sharing of knowledge, and as the volume and variety of information 
increases, metadata and metadata expertise is more important than ever. 
Evolving library data into linked data frees the knowledge in library 
collections and connects it to the knowledge streams that inform our everyday 
lives — on the web, through smart devices, and using technologies like 
artificial intelligence (AI). Building upon decades of research on the tools, 
standards, workflows, and strategies for making the transition to linked data, 
there have been significant advancements in the infrastructure, data, and 
services needed to bring linked data into today’s library workflows. During 
this presentation, attendees will learn about recent developments that 
integrate linked data features into current cataloging workflows, establishing 
a bridge between MARC data and linked data, and connecting data across systems 
and services. These advancements include adding linked data identifiers to MARC 
records at scale, and enhancing existing cataloging applications to add 
valuable linked data elements into current MARC-based workflows. The move to 
linked data enables greater data interoperability and connections across a 
variety of both traditional and linked data formats. Supporting an array of 
data formats allows libraries and researchers to experience the benefits of 
linked data today, without making dramatic changes to existing systems, 
workflows, or behaviors.


Presentation Pt.2-#2:

Tile: Everything You Wanted to Know About "Linky MARC" (and Were Definitely Not 
Afraid to Ask, Being Librarians)

Presenter: Abby Dover, Linked Data Librarian, Northwestern University

Summary: The goal of this presentation is to provide a brief but comprehensive 
and up-to-date guide to using URIs in MARC records (aka "linky MARC"). The main 
points of discussion will be:

  *   the role that "linky MARC" plays in the transition to linked data
  *   the difference between $0 and $1 and what exactly is meant by "real world 
objects"
  *   key resources such as PCC's best practices documentation, URI FAQ, and 
URI formulation guide, as well as tools such as WorldShare Record Manger's 
"Insert WorldCat Entity" functionality
  *   the recent decision (as of December 2023) by OCLC to add URIs for 
WorldCat entities in several MARC fields
  *   a discussion of some important pros and cons to consider when thinking 
about adding URIs in MARC records.
a discussion of some important pros and cons to consider when thinking about 
adding URIs in MARC records.

Presentation Pt.2-#3:

Title: Using Linked Open Data to Build a Culture of Collaboration at Yale 
University

Presenter: Timothy A. Thompson, Librarian for Applied Metadata Research, Yale 
University Library

Summary: To date, the transition from MARC 21 to linked open data has focused 
largely on information management. Major initiatives such as the Mellon-funded 
Linked Data for Production project have developed tools and workflows to 
support the transition from MARC to BIBFRAME in library technical services. 
Important work has also been done to leverage linked data for front-end 
discovery, but discovery has not typically been the starting point. At Yale 
University, a collaborative effort has been underway since 2019 to develop an 
integrated discovery platform using linked open data. That platform, called 
LUX: Yale Collections Discovery, encompasses over 17 million items across the 
university’s libraries, archives, and museums. LUX implements the Linked Art 
standard, which is based on the CIDOC Conceptual Reference Model. Each 
collecting unit was responsible for mapping its source metadata, including the 
library’s complete MARC 21 catalog of 12.2 million records, to Linked Art. The 
development and implementation of LUX required a concerted effort from a wide 
range of staff, including curators, technologists, and metadata analysts. These 
teams worked in unison to integrate their respective collections into a single 
platform. This focus on linked data for discovery has created a reference point 
that makes it possible to argue more persuasively for the value proposition of 
linked data and its potential not only to benefit users but also to build a 
culture of collaboration across an institution.


We will record the session and post slides and related materials in our IG 
Connect site and ALA Core IG Week 
website<https://www.ala.org/core/continuing-education/interest-group-week> once 
available.

Best wishes,

MFTIG Co-Chairs:
Keiko Suzuki (suzu...@newschool.edu<mailto:suzu...@newschool.edu>)
Sai Deng (sai.d...@ucf.edu<mailto:sai.d...@ucf.edu>)

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