LISTSERV mailing list manager LISTSERV 16.5

Help for CODE4LIB Archives


CODE4LIB Archives

CODE4LIB Archives


CODE4LIB@LISTS.CLIR.ORG


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

CODE4LIB Home

CODE4LIB Home

CODE4LIB  January 2020

CODE4LIB January 2020

Subject:

Program Announcement: ALCTS CaMMS FSAIG Meeting @ ALA Midwinter 2020

From:

"Mak, Wing" <[log in to unmask]>

Reply-To:

Code for Libraries <[log in to unmask]>

Date:

Thu, 2 Jan 2020 17:24:23 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (39 lines)

**Please excuse cross-posting**

Please join the ALCTS CaMMS Faceted Subject Access Interest Group at the ALA Midwinter Meeting in Philadelphia, PA, for three presentations:

Date: June 25, 2020 (Saturday)
Time: 4-5 p.m.
Location: Pennsylvania Convention Center, Nutter Theater

FAST at the British Library
By Caroline Kent (The British Library)
The British Library is constantly evolving its approaches to Metadata Management. With an aim of maintaining quality and improving discoverability of all areas of our collections, Metadata specialists are always looking for innovative ways to improve throughput times, build consistency in approaches to the standards applied across our collections, and provide approaches that are understandable to all our users. This is alongside the need to make library data more Web friendly, specifically with regard to Linked Data, and to incorporate the extensive volume of born-digital data we are now collecting. FAST has been explored by the Metadata & Cataloguing teams as one aspect that can assist in providing streamlined, Linked Data friendly approaches to cataloguing. This presentation will give an update of where the British Library is now, and the progress and outcomes of evaluating and implementing FAST to improve discoverability across our collections.

FAST Headings for ETDs at Brown
Jeanette Norris & Joseph Rhoads (Brown University Library)
This presentation will discuss the evolution of the use of FAST headings for the description of Electronic Theses and Dissertations (ETDs) in the Brown University Repository from the perspectives of a repository developer and a metadata librarian. Brown University Library collaborates with the Brown Graduate School to collect describe, preserve and make available the theses and dissertations for graduates of Brown University.  The ETDs are self-deposited using a web application designed through a collaboration between Cataloging, Repository Services, and the Graduate School. The self-deposit application has evolved since it was first created in 2008, when users' were asked to record any keywords, which were uncontrolled, to 2015, where the self-deposit form automatically performs a lookup to the Assign FAST API, providing an opportunity for authors to use a controlled vocabulary without training. The use of FAST has provided the Brown University Library the ability to integrate ETDs from the Repository seamlessly with theses and dissertations described in the catalog. The team of Repository developers and Metadata librarians, are now assessing the effectiveness of this approach in terms of the voluntary use of FAST, the accuracy of the vocabulary assignment, and the maintenance required to keep labels updated.

Maximizing Discovery of Datasets in the Library Catalog
By Rowena Griem, Tachtorn Meier, & Yukari Sugiyama (Yale University Library)
As digital scholarship evolves in academia, there are the growing importance and increasing acquisition of datasets at libraries. It is essential to ensure that this newer kind of library resource is easily discovered, identified and accessed by users. At the Yale University Library, we reviewed current cataloging practice and needs for dataset discovery and access to establish best practices.
Highlights of our progress include:

  *   Creation of dataset-related LCGFT headings
  *   Documentation for MARC-based cataloging of datasets and workflow
  *   Remediation for existing dataset catalog records
  *   Recommendations to improve discovery user interface
In this presentation, we will discuss challenges of cataloging and managing datasets and demonstrate how the discoverability of datasets is enhanced in our discovery system.


Best,

Lucas Mak & Nerissa Lindsey
FSAIG Co-Chairs

---------------------------------------------------
Lucas (Wing Kau) Mak
Metadata and Catalog Librarian
Michigan State University Libraries
[log in to unmask]<mailto:[log in to unmask]>
(517) 884-0822

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

October 2024
September 2024
August 2024
July 2024
June 2024
May 2024
April 2024
March 2024
February 2024
January 2024
December 2023
November 2023
October 2023
September 2023
August 2023
July 2023
June 2023
May 2023
April 2023
March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
December 2006
November 2006
October 2006
September 2006
August 2006
July 2006
June 2006
May 2006
April 2006
March 2006
February 2006
January 2006
December 2005
November 2005
October 2005
September 2005
August 2005
July 2005
June 2005
May 2005
April 2005
March 2005
February 2005
January 2005
December 2004
November 2004
October 2004
September 2004
August 2004
July 2004
June 2004
May 2004
April 2004
March 2004
February 2004
January 2004
December 2003
November 2003

ATOM RSS1 RSS2



LISTS.CLIR.ORG

CataList Email List Search Powered by the LISTSERV Email List Manager