Download - Emerging Standards: Data and Data Exchange in Scholarly Publishing - Jay Henry at CSE 2016
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Emerging Standards: Data and Data Exchange in Scholarly Publishing
Jay HenryChief Marketing Officer
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We spend most of our time here.On the ground
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DOI
ISSN
Author ORCID
Author Affiliations(ISNIs or RING IDs)
Title
Year Published
Subjects
CirculationData
Abstract
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Okay, I have a better idea of what’s going on in my own neck of the woods
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DataInformationKnowledge
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Standard Identifiers contribute to interoperability*
*This means data that can be linked together through unambiguous identification and exchanged with others
GovernedTrustedTransparentAnd contain appropriate metadata
In order to be effective, identifiers must be:
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What are standard identifiers?Persistent numeric or alpha-numeric designations associated with a single entity
Entities can be an institution, person, or piece of content (People, Places, & Things)
What do they do?1. Disambiguate, aka enforce uniqueness2. Enable linking, aka data integration and interoperability
In other words, they provide a simple basis for data governance
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Standard identifiers are the cornerstone of linking data among internal and external systems◦ Break down silos ◦ Keep data current and
synchronised◦ Enable staff to interact
with data more effectively
◦ Simplify data exchange◦ Improve overall data
quality
Institutional
Identifiers
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Impact of Identifiers on workflows• Resources & personnel required to join existing
records to IDs or an authority file• Build customized solutions mapping systems
together • Improve data capture to require an ID upon
record creation• Manual vs programmatic cost-benefit questions• Design new reporting and analysis tools to
leverage newly linked datasets
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Impact on StakeholdersResearchers – create Current Research Information Systems (CRIS) – one portal to figure out how to best conduct research, who to work with, who will fund it, what else has been contributed to the subject thus far, where is the best equipment to help further the research.
Funders – Want to track areas of interest, identify worthwhile pursuits, and see where their money goes.
Institutions – Demonstrate research output more accurately and precisely describe the institution’s contribution and who is affiliated with that work.
Publishers – Facilitate transactions of all types from content discovery to delivery of author royalties. Improved market analysis and targeted advertising.
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ISO Standard 27729 ISNI is designed to be a
“bridge identifier” Covers any type of entity
ISNI Number ISNI Number
Party ID 2Party ID 1
Proprietary Information and/or
Metadata
Proprietary Information and/or
Metadata
International StandardNameIdentifier
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ISNIIn cooperation with ProQuest, OCLC, and other public and commercial entities, Ringgold has been working to map ISNIs to deeper datasets for the past two years.
It’s taken time due to the problems with the raw source data, and the policies for assignment of the unique ISNI identifier.
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Ringgold: an ISNI Registration Agency
At the same time ISNI records are loaded to the Ringgold Identify Database we will being issuing ISNIs for institutions. ProQuest (Bowker) is a Registration Agency as well, focusing on individuals.
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RINGGOLD
BOWKERISNI(OCLC tech)
Third Parties
MEMEBERS
MEMEBERS
MEMEBERS
MEMEBERS
MEMEBERS
MEMEBERS
Public Data Proprietary Databases
Members submit data to RAGs:a. auto-match b. audit matchc. RAG assigns new ISNIs d. RAGs synch w/ ISNIe. ISNI used as bridge via
Public Data
Members can access “full” ISNI information but cannot provide or assign numbers to 3rd parties-- ISNI data can be used w/in internal systems (e.g. library may assign ISNIs to all individuals and departments within their institution
ISNI – RAGs & Members
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ISNI Record (Individual)
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ISNI – Institutional Record
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An issue with identification
It was a desire to “help” authors differentiate and disambiguate themselves that got ISNI started.
Along the way, a lot has been learned. A specific example, that often doesn’t get a lot of attention, is the need for privacy protection whenever there is an Identification process underway… this holds true for individuals and institutions.
Our industry spends a great deal of time discussing “open data”, but there are many times when that data should not (or cannot) be made public (physicist romance author, animal tester, military applications, etc….)
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The future:
The Semantic Web cannot exist without well structured data
Things take on a life of their own
VastnessVaguenessUncertaintyInconsistencyDeceit
The challenges to creating a world of content tagged with meaning:
Standard Identifiers can help with the middle three – Artificial Intelligence
will handle Vastness and Deceit