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Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, Sharon Farnel & Abigail Sparling

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Page 1: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

Linked Data for NEOSA Workshop

Ian Bigelow, Danoosh Davoodi, Sharon Farnel & Abigail Sparling

Page 2: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

Moving Forward with Linked Data at the UAL

Linked data implementation as a strategic priority

“In order to reap the benefits of full participation in the linked open data environment,

UAL should continue to take steps towards complete conversion of existing library

data to linked open data. This would involve a full transition of workflows for resource

description/metadata creation to linked open data, transitioning all library systems for

resource discovery so they work with linked open data formats, and developing new

workflows, both internal and with associated vendors and partners, to support these

steps.”¹

What might this mean for you? … What do you think?

1. Moving Forward with Linked Data at UAL

2

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Linked Data Overview

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The Semantic Web

“The Semantic Web will bring structure to the

meaningful content of web pages. It is not a

separate Web but an extension of the existing one,

in which information is given well-defined

meaning, better enabling computers and people to

work in cooperation”

Berners-Lee, T., Hendler, J., Lassila, O. (2001). The Semantic Web.

ScientificAmerican.com

lod-cloud.net: https://creativecommons.org/licenses/by/4.0/4

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What is linked data?

“The collection of interrelated datasets on

the Web can be referred to as Linked

Data”.

https://www.w3.org/standards/semanticweb/data.html

Jakov M. Vežić (https://www.facebook.com/photo.php?fbid=10214499563312325&set=gm.1820667984616319&type=3&theater)5

Page 6: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

Principles of linked data1. Use URIs (Uniform Resource Identifiers) to

name things

2. Use http URIs so that people and machines

can look up those names

3. When a person or a machine looks up a URI,

provide useful information using Web

standards such as RDF, SPARQL, JSON

4. Include links to other URIs so that a person

or machine can discover other things

5. Use an open license*

* appropriate openness; open data ≠ linked data

Berners-Lee, T. (2006). https://www.w3.org/DesignIssues/LinkedData.html6

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Examples of triple patterns

Danoosh Davoodi

Knows

Ian Bigelow

https://orcid.org/0000-0003-2474-7929 foaf:knowshttps://orcid.org/0000-0002-1961-6097

Object

Predicate

Subject

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Google Knowledge GraphAn intelligent model of

entities and relationships

Designed to enhance

search and discovery in

three ways:

1. find the right thing

2. get the best summary

3. go deeper and

broader

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Check-In1. What are the basic building blocks of linked data?

2. How might this data structure benefit library resource

discovery?

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Linked Data for Libraries

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Linked Data and Libraries● Many examples of linked data outside of libraries

● Uptake in libraries has been slow and uneven

○ paradigm shift

○ lack of skills and expertise

○ lack of practical starter projects

○ challenge of data conversion

○ changes in workflows

○ lack of system support

● But things are shifting

○ viable alternatives to MARC exist and are being implemented

○ standards and workflows are being rebuilt to facilitate this shift

○ moves in repository communities to linked data for interoperability

○ linked data potential for managing knowledge production lifecycle

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What is MARC?Machine Readable Cataloguing

● A transition from the catalogue card to working in an online catalogue

● Developed in the 1960s by Henriette Avram

● MARC has been around for a very long time and it is still the primary encoding

format for bibliographic metadata for libraries worldwide … for now

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Whither MARC?● “MARC must die!” - Roy Tennant, October 2002

○ “I wanted librarianship to wake up to the fact that our foundational standard was no

longer serving us like it should”

● What is the future of MARC in an increasingly digital, interconnected

information environment?

○ functions to a point but leaves library records siloed

○ focuses on records that are independently understandable

○ data not easily parsed

“So what has happened over the last 15 years? For starters, no one seems to

think it’s controversial anymore. The Library of Congress has not only

admitted that MARC’s days are numbered, they are actively working to

develop a linked data replacement”. (Roy Tennant, “MARC Must Die” 15 Years On -

http://hangingtogether.org/?p=6221)

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Why linked data? Why for libraries?● facilitate data integration and enable

interconnection of previously disconnected

datasets

● addition of each new dataset increases value

of existing datasets (the network effect)

● browsing through data is easier with URIs

● increased use and pressure to improve data

quality

● data as a service increases usability

● use of flexible and extensible data models

● compatibility with existing standards

● encourages openness, sharing, and reuse

● enhanced discovery experiences

● make rich library data actionable

● enhanced integration across collections

based on flexible and extensible data models

and shared principles

● opportunities for modeling different

worldviews to enable more contextually

appropriate descriptions

● enable enhanced collaborations across

libraries, archives, museums

● enhanced capabilities for researcher identity

and research output management

● streamlined workflows for metadata creation

and enhancement

14

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Challenges● Scope and scale of existing library metadata

○ billions of MARC records in the ecosystem; any replacement for MARC must meet numerous use

cases

○ plethora of metadata in flavours of XML and other formats that need careful and appropriate

transformation

● Infrastructure

○ most ILS and discovery systems are not currently tooled for working with linked data

○ many digital asset management and repository platforms incorporate linked data minimally

● Skills and Expertise

○ many staff have been working with existing standards and formats for a very long time

● Has linked data proven its value

○ still seen to be experimental, lack of practical starter projects

15

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Shifting Standards

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Program for Cooperative Cataloguing (PCC)

“It is time to move beyond knowledge and skills related to linked data at a theoretical

level and into implementation. Building on the PCC’s strong tradition of providing

training for metadata creators, active experimentation and piloting of linked data

practices will help inform policy decisions, training, and operationalizing such

practices. As we move to a culture of greater data sharing, it is crucial to extend our

community, both by engaging a more diverse range of members in the work of the

PCC and by collaborating with vendors, open source communities, and others.”

(Program for Cooperative Cataloguing, 2018)

Program for Cooperative Cataloguing (2018). PCC (Program for Cooperative Cataloging) Strategic DirectionsJanuary 2018-December 2021. Retrieved from https://www.loc.gov/aba/pcc/about/PCC-Strategic-Directions-2018-2021.pdf

17

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Changing Standards for Resource Description

Resource Description and Access (RDA)“RDA is a package of data elements, guidelines, and instructions for creating library

and cultural heritage resource metadata that are well-formed according to

international models for user-focussed linked data applications.” (Committee of

Principals for RDA, 2015)

RDA Toolkit, RIMMF, RDA Registry and RDA Vocabulary Server all draw on RDA

Vocabularies published in RDF.

Based on LRM implementation in RDA and preparation for linked data environments,

the 3R update will have an increased emphasis on relationships rather than attributes

RDA Steering Committee (2015). RDA, Committee of Principals Affirms Commitment to the Internationalisation of RDA. Retrieved from http://www.rda-rsc.org/node/235

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Check-In1. Why are libraries looking to move away from MARC?

2. What is one benefit of linked data for libraries?

3. What is one challenge faced by libraries in implementing

linked data?

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BIBFRAME

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At the Annual Meeting of the American

Library Association (ALA) in June 2018, LC

confirmed that BIBFRAME will be their

replacement for MARC

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BIBFRAME● Initiative of Library of Congress and

community partners and collaborators in

2011

● Provides a foundation for the future of

bibliographic description on and of the web

● Based on linked data principles and

standards

● Goes beyond “replacing” MARC

○ different model for expressing and

connecting bibliographic data

● https://www.loc.gov/bibframe

● http://bibframe.org/

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● Three core levels of abstraction

○ Work

○ Instance

○ Item

● Additional key concepts

○ Agents

○ Subjects

○ Events

● Consists of RDF classes and properties

○ members of a class share certain

characteristics and may have subclasses

○ properties describe characteristics of

resources as well as relationships among

resources

BIBFRAME 2.0

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bf:Work● Highest level of abstraction

● Reflects conceptual essence of a resource

● Reflects information such as creator, language, subject

● Roughly FRBR Work and Expression

● Properties include

○ content

○ originPlace

○ musicMedium

○ geographicCoverage

○ eventContentOf

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bf:Instance● Individual, material embodiment of a work

● Reflects information such as publisher, place of publication, format

● Roughly FRBR Manifestation

● Properties include

○ carrier

○ extent

○ fontSize

○ polarity

○ issuedWith

○ provisionActivity

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bf:Item● A copy (digital or physical) of an Instance

● Reflects information such as location (virtual or physical), shelf mark, barcode

● Roughly FRBR Item

● Properties include

○ heldBy

○ shelfMark

○ electronicLocator

○ sublocation

○ enumerationAndChronology

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bf:Agent● People, organizations, jurisdictions associated with a Work or Instance

● Reflects roles such as editor, composer, holding institution

● Roughly FRBR Group 2 entities

● Subclasses include

○ family

○ organization

○ jurisdiction

○ meeting

○ person

Page 29: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

bf:Subject● Captures “aboutness” of a Work

● Roughly FRBR Group 3 entities

● Subjects may include

○ topics

○ places

○ events

○ agents

○ Works

Page 30: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

bf:Event● An occurrence that is recorded and constitutes the content of a Work

● Can include

○ concerts

○ speeches

○ athletic events

Page 31: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

BIBFRAME Ontology● List view

○ entire vocab on a single page

○ lists classes and properties

○ http://id.loc.gov/ontologies/bibframe.html

● Category view

○ all properties sorted into several broad categories such as identifiers, relationships, etc.

○ http://id.loc.gov/ontologies/bibframe-category.html

● RDF

○ full OWL ontology

○ http://id.loc.gov/ontologies/bibframe.rdf

Page 32: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

Exercise: Triples in BIBFRAMEYou should each have a sheet with a URI or literal. Based on the 2 MARC records

shown on screen, work with others in the room to complete triples present in the

related BIBFRAME data.

● Green yarn - Relationships between Work, Instance, Item

● Blue yarn - Relationships from WI to agents

● Yellow yarn - anything else (eg Instanct to bf:provisionActivityStatement

Use the BIBFRAME vocabulary, or your presenters for guidance

Scissors, yarn, and tape at the front

Page 33: Linked Data for NEOS€¦ · Linked Data for NEOS A Workshop Ian Bigelow, Danoosh Davoodi, ... Provides a foundation for the future of bibliographic description on and of the web

Two Leaves of Grass000 00757cam a2200217 i 4500

001 350362A

005 20060912145412.0

008 750829r19751856paua 000 0 eng

035 __ |9 (DLC) 75029108

906 __ |a 7 |b cbc |c orignew |d 1 |e ocip |f 19 |g y-gencatlg

010 __ |a 75029108

020 __ |a 0841494452 |b lib. bdg. : |c $75.00

040 __ |a DLC |c DLC |d DLC

050 00 |a PS3201 |b 1975

082 00 |a 811/.3

100 1_ |a Whitman, Walt, |d 1819-1892.

245 10 |a Leaves of grass / |c by Walt Whitman ; with an

introd. by Gay Wilson Allen.

260 __ |a Folcroft, Pa. : |b Folcroft Library Editions, |c 1975.

300 __ |a xxi, 384 p. : |b ill. ; |c 23 cm.

500 __ |a Reprint of the 1856 ed. published by Brooklyn, N.Y.

991 __ |b c-GenColl |h PS3201 1975 |p 00020083785 |t Copy 1

|w BOOKS

000 01213cam a2200313 i 4500

001 350362B

005 20150414141922.0

008 760821t19761959nyuc 000 0 eng

906 __|a 7 |b cbc |c orignew |d 2 |e ncip |f 19 |g y-gencatlg

010 __|a 76371718

020 __|a 0140421998 : |c $1.95

035 __|9 (DLC) 76371718

040 __|a DLC |c DLC |d DLC

050 00|a PS3201 |b 1976b

082 00|a 811/.3

100 1_|a Whitman, Walt, |d 1819-1892.

240 10|a Leaves of grass

245 10|a Walt Whitman's Leaves of grass / |c edited with an introd.

by Malcolm Cowley.

250 __|a 1st (1855) ed.

260 __|a New York : |b Penguin Books, |c 1976, c1959.

300 __|a xxxvii, 145 p. : |b port. ; |c 20 cm.

490 0_|a The Penguin poets

700 1_|a Cowley, Malcolm, |d 1898-1989.

740 0_|a Leaves of grass.

856 42|3 Contributor biographical information |u

http://www.loc.gov/catdir/enhancements/fy1206/76371718-b.html

856 42|3 Publisher description |u

http://www.loc.gov/catdir/enhancements/fy1206/76371718-d.html

856 41|3 Sample text |u

http://www.loc.gov/catdir/enhancements/fy1504/76371718-s.html

991 __|b c-GenColl |h PS3201 |i 1976b |t Copy 1 |w BOOKS

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Relating this to current practice: NEOS Standards and BIBFRAME1. Overview of key cataloguing standards in relation to BIBFRAME

a. BIBCO to BIBFRAME

b. CONSER to BIBFRAME

c. Review of LC conversion specifications

2. Overview of how MARC is converted to BIBFRAME (10)

a. LC comparison tool

b. Example/walkthrough of UAL-LDE

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<bf:Work rdf:about="http://worldcat.org/entity/work/id/553452714">

. . .

<bf:Contribution>

<bf:agent>

<bf:Agent rdf:about="http://id.loc.gov/authorities/names/no2013100927">

<rdf:type rdf:resource="http://id.loc.gov/ontologies/bibframe/Person" />

<bflc:name00MatchKey>Maamouri, Mohamed</bflc:name00MatchKey>

<bflc:name00MarcKey>70010$aMaamouri, Mohamed</bflc:name00MarcKey>

<rdfs:label>Maamouri, Mohamed</rdfs:label>

<bf:identifiedBy><bf:IdentifiedBy><rdf:value rdf:about="http://viaf.org/viaf/305282781"/>

</bf:IdentifiedBy></bf:identifiedBy></bf:Agent>

</bf:agent>

<bf:role>

<bf:Role rdf:about="http://id.loc.gov/vocabulary/relators/ctb" />

</bf:role>

</bf:Contribution>

</bf:contribution>

. . .

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Intermission

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Current State

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Status of BIBFRAME● Model development and testing ongoing (LC, LD4P, SVDE, other national and

research libraries), and work progressing on implementation

● Community groups such as PCC, CONSER, BIBCO actively engaging

● Numerous organization experimenting, testing MARC to BIBFRAME conversions

○ UAlberta testing -

https://github.com/ualbertalib/metadata/tree/master/metadata-wrangling/BIBFRAME

○ MARC/BIBFRAME comparison tool - http://id.loc.gov/tools/bibframe/compare-id/full-ttl

● LD4P2 (Linked Data for Production: Pathway to Implementation)

○ building on LD4L, LD4P to begin implementing shift to linked data for metadata creation and

sharing

○ https://wiki.duraspace.org/pages/viewpage.action?pageId=104568167

○ looking at what native BIBFRAME workflows, processes, tools could be

● Casalini SHARE-VDE

○ pilot virtual discovery environment

○ http://share-vde.org/sharevde/clusters?l=en

○ built on linked data principles and using BIBFRAME

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OCLC

47

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Work in National Libraries

Library of Congress (2018). MARC 21 to BIBFRAME 2.0 Conversion specifications. Retrieved from:

https://www.loc.gov/bibframe/mtbf/ 48

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MyNewsDesk, National Library of Sweden (2018). KB becomes the first national library to fully transition to linked data. Retreived from:

http://www.mynewsdesk.com/se/kungliga_biblioteket/pressreleases/kb-becomes-the-first-national-library-to-fully-transition-to-linked-data-2573

975

49

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Putting this Work in ContextIn her article on the development of BIBFRAME, McCallum (2017) reflects on the current state of

the transition of standards in libraries:

“In the 1960’s and 1970’s the AACR cataloguing rules and MARC format for bibliographic data were

developed. Forty years later we are in the transition to new cataloguing rules and also a new carrier

environment, with RDA and BIBFRAME.” (p. 84)

How far away is this transition for libraries? We can look to the work of the library community:

● LC and other National Libraries

● PCC

● LD4

● SHARE VDE

McCallum, S. s. (2017). BIBFRAME Development. JLIS.It, Italian Journal Of Library,

Archives & Information Science, 8(3), 71-85.

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Linked Data for Production (LD4P)For the past two years, Linked Data for Production has been focusing on:

● developing standards, guidelines, and infrastructure to communally produce

metadata as linked open data

● developing end-to-end workflows to create linked open data in a technical services

production environment

● extending the BIBFRAME ontology to describe library resources in specialized

domains and formats

● engaging the broader library community to ensure a sustainable and extensible

environment

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LD4P Phase 2 and the LD4P Cohort

A collaborative project among four institutions (Cornell, Harvard, Stanford, and the University of Iowa) and the

Program for Cooperative Cataloging (PCC), this phase of LD4P will have seven broad goals:

1. The creation of a continuously fed pool of linked data expressed in BIBFRAME-based application profiles.

2. The development of an expanded cohort of libraries (the LD4P Cohort) capable of the creation and reuse

of linked data through the creation of a cloud-based sandbox editing environment.

3. The development of policies, techniques and workflows for the automated enhancement of MARC data

with identifiers to make its conversion to linked data as clean as possible.

4. The development of policies, techniques, and workflows for the creation and reuse of linked data and its

supporting identifiers as libraries’ core metadata.

5. Better integration of library metadata and identifiers with the Web through collaboration with Wikidata.

6. The enhancement of a widely-adopted library discovery environment (Blacklight) with linked-data based

discovery techniques.

7. The orchestration of continued community collaboration through the development of an organizational

framework called LD4.

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UAL LD4P Cohort Project Summary1. Enhancement of conversion, reconciliation and enrichment processes for MARC to BIBFRAME

2. Exploration of new forms of authority control based on URIs - Utilizing MARC and BIBFRAME data

enriched with URIs

3. Conversion of Monographs Team Operations - In order to make optimal use of current staffing and the

current level of development of BIBFRAME, we plan to work on original creation of data in the shared

RDF pool for Monographs. Thinking about this as a starting point for fuller implementation (across other

teams) we aim to convert the operations/workflows of our Monographs Team

4. Community building:

a. To help foster a wider community of linked data experimentation and implementation in Canada,

UAL will work with other Canadian participants to liaise with the cataloguing community and

standards organizations in Canada (CFLA, CCC, CCM, CLDI)

b. As a member of the NEOS consortium, which includes a shared catalogue and services related to

cataloguing, UAL will engage NEOS members in aspects of this work to transition towards linked

data, so that we can move forward together.

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SHARE-VDE is a community-driven initiative to implement linked

data. While the aim is a more general focus on transitioning traditional

GLAM institution data thus far the project focus has been on moving

from MARC to BIBFRAME.

The process enriches library data with additional information and

relationships, previously unexpressed with MARC, and converts

bibliographic and authority data in linked data.

A virtual discovery platform with a four-layered adaptation of the

BIBFRAME data model was developed to provide a linked data

discovery option.

SHARE Virtual Discovery Environment (SVDE)

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The main areas of the SHARE-VDE project:● Enrichment of MARC record with URIs

● Conversion from MARC to RDF using the BIBFRAME vocabulary (and other additional ontologies as needed)

● Data publication according to the BIBFRAME data model

● Batch/automated data updating procedures

● Batch/automated data dissemination to libraries

● Progressive implementation of further use cases in the priority order defined by the community

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SHARE-VDE is a collaborative endeavour, based on the requirements and perceptions of libraries, developed by:

- Casalini Libri, provider of bibliographic and authority data as member of the Program for Cooperative Cataloguing - @Cult, provider of ILS, Discovery tools and Semantic web solutions for the cultural heritage sector

- with input and active participation from an international group of 22 Research Libraries and influenced by the vision of the LD4P initiative

The collaborative initiative is steered by the library community

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Casalini SHARE VDE (SVDE) Project: Vendor Supported and Community Driven Development

Involvement in phase 1 and/or 2 has included:

● Stanford University

● University California Berkeley

● Yale University

● Library of Congress

● University of Chicago

● University of Michigan Ann Arbor

● Harvard University

● Massachusetts Institute of Technology

● Duke University

● Cornell University

● Columbia University

● University of Pennsylvania

● Pennsylvania State University

● Texas A&M University,

● University of Alberta

● University of Toronto

Work thus far has culminated in the creation of an

experimental linked data discovery environment as

well as the return of the NEOS catalogue in MARC

enriched with URI and BIBFRAME.

Phase 3a will see the implementation of the SVDE

platform with the full UAL/NEOS catalogue with

ongoing updates. This will allow us to continue

with data experimentation and analysis, provide a

training tool to familiarize ourselves with this kind

of data/work, and continue progression towards

linked data implementation.

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Participating Institutions

SVDE Full Members

Duke University

New York University

Stanford University

University of Alberta – NEOS consortium

University of Chicago

University of Michigan at Ann Arbor

University of Pennsylvania

Yale University

National Libraries

Library of Congress

National Library of Medicine

National Library of Norway

LD4P Cohort

Cornell University

Frick Art Reference Library

Harry Ransom Center

Harvard University

Northwestern University

Princeton University

UC Davis

UC San Diego

University Colorado at Boulder

University of Minnesota

University of Texas A&M

University of Washington

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SVDE Transformation Council

«The SHARE-VDE Transformation Council's role is to provide insight and analysis of the MARC to BIBFRAME transformation to make recommendations for improvements based on member library data analysis, and project documentation. Initial recommendations are based on Phase 2 deliverables, but the work of the team will be ongoing into the foreseeable future.»

There are 4 sub-committees focusing on specific areas:• Work Identification Working Group• Authority/Identifier Management Services Working Group• Cluster Knowledge Base Interaction/Editor Working Group• User experience/User Interface Working Group

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SHARE-VDE Process Overview

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Casalini bf:2.0 Data

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The Super Work Entity Model

Possemato, T. (2019). “Share Virtual Discovery Environment in Linked Data (SHARE-VDE) Highlight on Data Modeling” 2019 LD4 Conference, Boston, MA

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UAL Participation and Next StepsA vendor supported, community driven project, the SVDE transformation tool and

enrichment service will be used by SVDE members and all LD4P2/LD4P Cohort

members for consistency.

UAL has been active in the development of the project through participation in

steering meetings, analysis of conversion processes, and now work on the SVDE

Transformation Council and Work Identifier Working Group.

How does NEOS fit?

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Sinopia Overview

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Sinopia Exercise … not yetLookups and profiles in place, but currently in a transitional state with a new version

and need to set-up local profiles.

Timelines for a public launch are tabled to be discussed at ALA Annual in Washington.

While LC is providing training for the LD4P Cohort, once this is complete and Sinopia

launched the PCC will be working with Cohort members to broaden the reach of

Sinopia. Key takeaways:

1. The software is open

2. Sinopia will be made available for wider testing

3. PCC will be working on a wider training strategy

4. Learn more!

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Discovery Overview1. Blacklight, the LD4P2 Cohort, and the UAL Discovery Review

2. SHARE VDE

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Implications for NEOS: Discussion1. What does this mean for the shared database?

2. What work is ahead for NEOS-Tech? How do we ensure our standards are

mapped to this environment?

3. What are the timelines?

a. When will BIBFRAME be here

b. How long can we continue using MARC

4. Support for discovery

5. Training

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“Never let the future disturb you. You will meet it, if you

have to, with the same weapons of reason which today arm

you against the present.”

Marcus Aurelius, Emperor of Rome, 121-180. (2002). Meditations. London: The Folio Society.

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