The document discusses VIAF (Virtual International Authority File) and ISNI (International Standard Name Identifier), two systems that work to connect the world's libraries by providing interoperable identity management. It summarizes the complementary roles and systems of VIAF and ISNI, including their different scopes, functions, and quality processes. It also provides examples of how ISNI identifies issues in VIAF records and works with contributing libraries to resolve them.
Presentation at the Online Information Conference, London 20th November 2013. Taking a look at the drivers behind the emerging Web of Data and how libraries need to be and can be part of it in the future.
Mind the gap! Reflections on the state of repository data harvestingSimeon Warner
A 24x7 presentation at Open Repositories 2017 in Brisbane, Australia.
I start with an opinionated history of the evolution of repository data harvesting since the late 1990's to the present. A conclusion is that we are currently in danger of creating a repository environment with fewer cross-repository services than before, with the potential to reinforce the silos we hope to open. I suggest that the community needs to agree upon a new solution, and further suggest that solution should be ResourceSync.
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...OpenAIRE
Presentation of the tutorial session at DI4R conference in Krakov (Sept. 2016), by Sahar Vahdati & Giorgos Alexiou. Title: Making Use of the Linked Open Data Services for OpenAIRE: Querying Data about Research Results, Persons, Projects and Organisations
Who's the Author? Identifier soup - ORCID, ISNI, LC NACO and VIAFSimeon Warner
Identifiers, including ORCID, ISNI, LC NACO and VIAF, are playing an increasing role in library authority work. Well describe changes to cataloging practices to leverage identifiers. We'll then tell a short story of the how and why of ORCID identifiers for researchers, and relationships with other person identifiers. Finally, we'll discuss the use of identifiers as part of moves toward linked data cataloging being explored in Linked Data for Libraries work (in the LD4L Labs and LD4P projects).
Presentation at the Online Information Conference, London 20th November 2013. Taking a look at the drivers behind the emerging Web of Data and how libraries need to be and can be part of it in the future.
Mind the gap! Reflections on the state of repository data harvestingSimeon Warner
A 24x7 presentation at Open Repositories 2017 in Brisbane, Australia.
I start with an opinionated history of the evolution of repository data harvesting since the late 1990's to the present. A conclusion is that we are currently in danger of creating a repository environment with fewer cross-repository services than before, with the potential to reinforce the silos we hope to open. I suggest that the community needs to agree upon a new solution, and further suggest that solution should be ResourceSync.
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...OpenAIRE
Presentation of the tutorial session at DI4R conference in Krakov (Sept. 2016), by Sahar Vahdati & Giorgos Alexiou. Title: Making Use of the Linked Open Data Services for OpenAIRE: Querying Data about Research Results, Persons, Projects and Organisations
Who's the Author? Identifier soup - ORCID, ISNI, LC NACO and VIAFSimeon Warner
Identifiers, including ORCID, ISNI, LC NACO and VIAF, are playing an increasing role in library authority work. Well describe changes to cataloging practices to leverage identifiers. We'll then tell a short story of the how and why of ORCID identifiers for researchers, and relationships with other person identifiers. Finally, we'll discuss the use of identifiers as part of moves toward linked data cataloging being explored in Linked Data for Libraries work (in the LD4L Labs and LD4P projects).
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Providing open data is of interest for its societal and commercial value, for transparency, and because more people can do fun things with data. There is a growing number of initiatives to provide open data, from, for example, the UK government and the World Bank. However, much of this data is provided in formats such as Excel files, or even PDF files. This raises the question of
- How best to provide access to data so it can be most easily reused?
- How to enable the discovery of relevant data within the multitude of available data sets?
- How to enable applications to integrate data from large numbers of formerly unknown data sources?
One way to address these issues to to use the design principles of linked data (http://www.w3.org/DesignIssues/LinkedData.html), which suggest best practices for how to publish and connect structured data on the Web. This presentation gives an overview of linked data technologies (such as RDF and SPARQL), examples of how they can be used, as well as some starting points for people who want to provide and use linked data.
The presentation was given on August 8, at the Hacknight event (http://hacknight.se/) of Forskningsavdelningen (http://forskningsavd.se/) (Swedish: “Research Department”) a hackerspace in Malmö.
Harvesting Repositories: DPLA, Europeana, & Other Case Studieseohallor
Join this discussion on the benefits and process of harvesting to aggregators such as DPLA, Europeana and other aggregators. Through case studies we'll outline three stages of the process, including 1) mapping, migrating, and normalizing data in open source digital repositories, 2) making use of the Open Archives Initiative Protocol for Metadata Harvesting (OAI - PMH), and 3) reaping the benefits of increased exposure. Presenters welcome lively discussion and questions from participants of all technical backgrounds and skill levels.
ISNI and VIAF have a partially overlapping scope but ISNI's database and system allow online corrections and enhancements and end user input. Manual corrections in ISNI are flagged such that they will take effect on VIAF clusters.
Open Knowledge Foundation Edinburgh meet-up #3Gill Hamilton
Lightning talks by
Gordon Dunsire on library standards and linked data
Gill Hamilton on recent initiatives with open and linked open data at National Library of Scotland
Islandora Webinar: Research Data Repositorieseohallor
The July 2015 Islandora Webinar, highlighting Islandora Research Data Repositories discusses data repositories spearheaded by individual researchers, academic libraries, and research centers.
Enabling better science - Results and vision of the OpenAIRE infrastructure a...Paolo Manghi
Enabling better science: presentation on the results and vision of the OpenAIRE infrastructure and RDA Publishing Data Services Working Group in this direction.
The slideshow presents the CEBA geoportail. We developed the application to capture and share the basic characteristics of available datasets for labex CEBA in French Guyana.
Keynote presentation delivered at ELAG 2013 in Gent, Belgium, on May 29 2013. Discusses Research Objects and the relationship to work my team has been involved in during the past couple of years: OAI-ORE, Open Annotation, Memento.
Providing open data is of interest for its societal and commercial value, for transparency, and because more people can do fun things with data. There is a growing number of initiatives to provide open data, from, for example, the UK government and the World Bank. However, much of this data is provided in formats such as Excel files, or even PDF files. This raises the question of
- How best to provide access to data so it can be most easily reused?
- How to enable the discovery of relevant data within the multitude of available data sets?
- How to enable applications to integrate data from large numbers of formerly unknown data sources?
One way to address these issues to to use the design principles of linked data (http://www.w3.org/DesignIssues/LinkedData.html), which suggest best practices for how to publish and connect structured data on the Web. This presentation gives an overview of linked data technologies (such as RDF and SPARQL), examples of how they can be used, as well as some starting points for people who want to provide and use linked data.
The presentation was given on August 8, at the Hacknight event (http://hacknight.se/) of Forskningsavdelningen (http://forskningsavd.se/) (Swedish: “Research Department”) a hackerspace in Malmö.
Harvesting Repositories: DPLA, Europeana, & Other Case Studieseohallor
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ISNI and VIAF have a partially overlapping scope but ISNI's database and system allow online corrections and enhancements and end user input. Manual corrections in ISNI are flagged such that they will take effect on VIAF clusters.
OpenAIRE: Open Science as-a-Service - presentation at #DI4R2016OpenAIRE
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5. Links from Current Non-
VIAF sources to VIAF
clusters
VIAF source links to ISNI =
> 7.3 million
6. The world’s libraries. Connected.
VIAF Scope
• Persons
• Organisations
• Works / uniform titles
• Expressions
• Meetings
• Geographic
• All public data
ISNI Scope
• Persons
• + musicians, researchers
• Organisations
• (excluding sparse)
• (excluding undifferentiated)
• Includes private data
VIAF and ISNI are Complementary
7. The world’s libraries. Connected.
VIAF Role
• Ingest authority records
from the world’s major
national and research
libraries
• Make clusters
• Expose and diffuse
ISNI Role
• Create permanent IDs
• By batch
• On demand
• Diffuse those IDs
• Libraries, trade, rights
management, professiona
l societies, education
VIAF and ISNI are Complementary
8. The world’s libraries. Connected.
VIAF System
• Harvester
• Clustering mechanism
• Web site (5 interface
languages)
• Download in multiple formats
• Linked data & SRU
1 million personal visitors p.a.
ISNI System
• Batch load
• Online request API
• Web site (English only)
• Allows end user input
• Member input and correction
• 16+ indexes
• SRU; soon linked data
• Quality Team monitoring &
correcting
• Diffusion, including corrections
VIAF and ISNI are Complementary
9. The world’s libraries. Connected.
• Samples data regularly
• c. 2% VIAF clusters have mixed identities
• Duplicate clusters are higher, nearer 5%
• Makes corrections at cluster level
• Merges, splits, error notifications
• Access to cataloguing client / macros
• Makes system recommendations
• Gives approval for single source assignment
• Responds to End User input
ISNI Quality Team
10. Example record fixed by QT
• 3 VIAF records merged
• ISNI sources British
Library Sound
Archive, MusicBrainz
• notice
instruments, performances
12. The world’s libraries. Connected.
• Cause duplicate ISNI assignment
• Where both clusters have more than 3 VIAF sources
• Where an ISNI source matches with a single or 2 source
VIAF record
• (Where VIAF sources move between the clusters)
• ISNI as a VIAF source will help VIAF merge clusters
where ISNI QT has manually merged them (2,444)
• ISNI has flagged 481,766 VIAF records as possible
duplicates
Duplicate clusters
13. Titles of other identities
Vocabulaire anglais-français, français-
anglais, de terminologie économique et
juridique
Il Piemonte visto da un inglese
Italia, Italia
The politics of the Vatican
The Pope's divisions : the Roman
Catholic Church today
La notte comincia ancora una volta
15. The world’s libraries. Connected.
• Signalled by ISNI Quality Team
• Most cases encountered now are due to source data
• ISNI QT would like to notify VIAF sources directly
• VIAF is currently notified by a field in the ISNI
record; notifications indicate if a cluster error or a
source error
Undifferentiated Identities
16. The world’s libraries. Connected.
• ISNI is assigned to public identities. Pseudonyms
= different identities; but related
• VIAF sources- some treat as name
variants, some as related names
• ISNI suite of programs
• Converts pseudonym name variants to related names
• Flags records with dissimilar main names
• Links and protects
Public Identities versus Persons
17. The world’s libraries. Connected.
• Policy on pseudonyms
• Study notification work flows
• How to remove record protect flags
• Participate in cluster sampling in VIAF and ISNI
• Help define new anomaly detectors
• ISNI has dissimilar main name / publishing before age
9, life span greater than 120 years
VIAF ISNI Task Force
18. NUKAT
99036027
record for
Thomas Meier
(1953-)
-2 erroneous
titles-VIAF cluster 267789223
ISNI 0000 0003 9867 7425
Thomas Meier (1953-)
ISNI 0000 0004 0034 1112
Thomas Meier 1966-
• ISNI QT to delete the titles
from the ISNI record
• Notification to VIAF and
directly to the contributor
(977)
NUKAT
VIAF cluster 267789223
NUKAT deletes the 2
titles and creates a
new authority record
for Thomas Meier
1966
This new NUKAT record matches
with the VIAF cluster for
Thomas Meier 1966-
on the 2 titles added by ISNI
VIAF cluster 12431062
(with ISNI in the cluster)
VIAF cluster 12431062
Actions by ISNI
• ISNI QT adds the 2 titles
to this ISNI record
• Notification to VIAF (977)
New NUCAT authority
record for
Thomas Meier 1966
Without the 2 titles for Thomas Meier
Actions by ISNI
19. The world’s libraries. Connected.
• Flag undifferentiated records
• e.g. those generated by programs comparing authority and bibliographic
name strings
• Respond to ISNI notifications
• correct “home” data
VIAF sources
As ISNI Members:
• Control “own identities” in VIAF and ISNI
* Check possible matches and suspect records on ISNI
• Use ISNI for direct maintenance of clusters
* Will generate notifications to VIAF and VIAF sources
Editor's Notes
Started with 1 million assigned – in November 2011 – mostly VIAF 3 + sources, now there are 2.7 million assigned ISNIs with non VIAF sources attached- More than 90% ISNIs with VIAF as a source. 39% of VIAF clusters have an ISNI (in 2011 was 10%)Explain this evolution (more ISNI sources and unique name assignment. And unique name assignment was possible because rich metadata…
This slide only shows assigned ISNIs for the different VIAF sources, giving the totals, assigned, percentage and the number of unique names.BnF example1067572 assigned (ca 62 % of “complete” authority records )Ingestion of ISNI in the BnF catalogue. Importance of persistent identifiers in the libraries metadata (ISNI is one of them).
This is a list of non VIAF ISNI sources and the numbers of links from those sources to VIAF clusters. The numbers of links from ISNI sources to VIAF sources is over 7.3 million.
ISNI’s scope overlaps but is not identical to VIAF’s scope. For persons, ISNI includes all VIAF (except sparse and undifferentiated records) plus includes many persons involved with music and research not present in VIAF.Also, unlike VIAF, ISNI includes private data that may be used for matching but not displayed or diffused publically. Such data includes dates of birth (actors in particular do not like their dates of birth publicized because it limits the parts that they are offered). Rights management associations are also not permitted to reveal the relationships between real persons and pseudonyms. Witness the recent case of JK Rowling publishing crime novels under a pseudonym and being irked that her cover was revealed by her Lawyers.
ISNI’s role is different from VIAF’s. ISNI creates a permanent ID and is required to keep the ID as stable as possible, and where it changes must diffuse corrections. ISNI diffuses cross domain – libraries, trade, rights management, professional socieities, edicuation.
ISNI includes and online request and maintenance capabilityImproved data quality and confidenceAnomaly reports – 7,000 date anomalies (>50% represent real errors)Merge, split and data error reports (c. 5,000)Matching improvementsDates, common surnames, longest name form, weightings, new elementsDetection of UNIMARC Conversion errorsparallel main names, name variant conversion, related names conversion, missed dataPseudonymsFeedback, record links (c. 70,000)More widely diffused linked dataProposal for inter-operation – joint notification, shared maintenance
Web interface for error reporting, enriching, detecting duplicates for data contributorsWeb interface for public Client for full maintenance including streamlined procedures* for Quality TeamNotifications to data contributorsData Sampling*Data Anomaly checks (dates, pseudonyms)*Fixes to incoming data (pre and post load)*Data enrichment to increase matching (Dewey)*
The image at the top of the screen is the ISNI record – where the 3 VIAF records have been merged into a record also including data from British Library Sound Archive and MusicBrainz.The image at the bottom shows 3 VIAF clusters for the same identity. As VIAF ingests ISNI as a VIAF source, ISNI merges will be adopted by VIAF.
VIAF’s policy is to prevent cluster merges where there would be 2 records from the same source in the cluster. ISNI’s policy is to assign an ISNI where there are 3 or more VIAF sources (except where there is a possible match indicated). ISNI has marked just under 500,000 VIAF clusters as possible duplicates.Thus ISNI makes duplicate assignment where there are 2 or more VIAF clusters for the same identity, each having more than 3 VIAF sources.ISNI also makes duplicate clusters where an ISNI source matches a VIAF cluster that is not assigned but another VIAF cluster is assigned.For a short period, where there were multiple clusters for the same identity, VIAF sources could move between clusters; this too brought along the risk of ISNI making duplicate assignments. This problem at VIAF has since been resolved.
Example of a VIAF cluster with multiple identities. The main identity is an English playwright. 4 sources have caused the incorrect result. Problem is that these incorrect assertions can multiply with libraries regarding each other as authoritative sources.It is important to make these corrections
A search of Amazon for Peter Nichols leads to a page where Peter Nicholls writing about Italy and the Vatican is clearly differentiated from Peter Richard Nichols, 1927, the playwright.
ISNI and VIAF differ in the treatment of pseudonyms. Some VIAF sources treat pseudonyms as related identities (as ISNI policy) and some treat them as name variants. ISNI, where it identifies a pseudonym as a name variant changes it to a related name.
A VIAF ISNI task force is proposed with, to begin with an agenda including a joint policy on pseudonyms, study of notification work flows; helping with cluster sampling and anomaly detection.
Acknowledgements to Pauline Chougnet, BnFThis is one proposed workflow as developed by Pauline Chougnet of the BnF. To be studied by the proposed joing VIAF / ISNi task force.
Why become an ISNI memberCross domain quality links – linking authors of theses, articles, books +++Importance in digitisation projectsFull coverage of ISNI for national identitiesBridge identifier – e.g. VIAF to ORCID via ISNIParticipation in QualityAccess to full databaseStatistics & quality reports