Identity Management Integration with OLE

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Identity Management Integration with OLE Tod Olson – University of Chicago Michelle Suranofsky – Lehigh University 12 November 2015

Identities: what do they do?

Authentication Authorization

Identity is about answering the questions: Who are you? What can you do?

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Identities: within libraries

Traditionally 2 types:

Staff Patrons

 Campus

 Non-campus

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Identities: OLE (KIM)

Traditionally 2 types:

Principals Staff members Can authenticate Entities  Patrons

 Exist within OLE but cannot authenticate 4

Identities: Interactions with OLE • Staff interactions with OLE

 Direct access to OLE through the user interface  Must be KIM Principal

• Patron interactions with OLE

 No direct patron access  Indirect access through discovery layer, external MyAccount features  Only needs to be KIM Entity 5

Identity Management: Case Studies University of Chicago

Lehigh University

Loading Identities Keeping Identities in Sync Authentication November 11, 2015

Case Study: University of Chicago

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University of Chicago • • • • • • • • •

Private research university Founded 1890 by John D. Rockefeller 5,724 undergraduate students 9,588 graduate, professional, and other students 2,205 full-time faculty Manager of Argonne and (in partnership) Fermilab 89 Nobel Prizes winners, including 6 current faculty "very high research activity” Library stats: • 6.6 million bibliographic records • 11 million items (9.6 mil. rows in item table) 8

UChicago: Goals

Leverage campus Identity Management (IdM) Campus CNetID for staff & patrons AuthN Accommodate non-campus patrons

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UChicago: IdM Architechture

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UChicago: Shibboleth AuthN Staff AuthN

Patron AuthN

HTTP Proxy IdP

VuFind

OLE Trust: Patron APIs

[Patron barcode] 11

UChicago: Staff AuthN

• LDAP  KIM LDAP authN module • Shibboleth  Proxy in front of OLE web application  Shib-protect proxy  Pass REMOTE_USER to OLE 12

UChicago: Patron AuthN

• Patron AuthN delegated to discovery layer • Discovery layer contacts OLE on behalf of patron Recall books, check account, etc. • Configure OLE APIs to trust from discovery layer host • APIs require patron ID (barcode) • Discovery layer responsible for AuthN Shibboleth, LDAP, etc. • Discovery layer uses IdM attributes for patron ID 1. Pull from IdM attributes, or 2. LookupUser by CNetID 13

UChicago: Campus Identities

• Feed from IdM system 180K persons total 27.8K after removing alumni • Custom loader Loads Staff and Patrons as Principals Staff privs will be assigned separately Patron borrower type derived from affiliation attributes • E.g. faculty, academic get indefinite loan • Reload daily: new, updates, deletes 14

UChicago: Maintaining Campus IDs

• Loader can insert, update and delete Principals • Each run handles onboarding, status changes, and termination • Nightly run, current w/in 24 hours Good enough for normal status updates Unusual situations handled manually • E.g. abrupt termination triggers manual removal of privs • AuthN denied at campus IdM level • Batch loader adequate for local needs 15

UChicago: Non-campus Patrons

• Loader can insert, update and delete Principals • Each run handles onboarding, status changes, and termination • Nightly run, current w/in 24 hours Good enough for normal status updates Unusual situations handled manually • E.g. abrupt termination triggers manual removal of privs • AuthN denied at campus IdM level • Batch loader adequate for local needs 16

UChicago: Non-campus Patrons

• Some outside of campus IdM  Few special cases  A few thousand legacy • Barcode and PIN in old system • High cost to convert • OLE barcode and PIN  One-time batch load • VuFind: Choice Auth  User chooses CNetID or barcode AuthN  ILS driver checks barcode and surname match in OLE  Credit to Anna Headley, Tri-Colleges 17

UChicago: Authorization

• Staff roles & perms entirely in OLE Grouper integration possible by overriding KIM services, but not currently using • Patron authorization Batch process concerns if dynamic Abrupt termination of privs are manual • Nightly IdM feed good enough

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UChicago: Summary

• Use IdM directly for Authentication • AuthZ: rely on batch loads  Staff entitlements are controlled in OLE  Campus patrons controlled mainly by IdM attributes  Nightly load good enough  Abrupt removal of privs handled specially

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Case Study: Lehigh University

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Lehigh University •Private research university •Founded 1865 •About 70 miles north of Philadelphia •4,800 undergraduate •2,300 graduate students •500 full-time faculty •40 Library Staff members •Two libraries •1,000,000+ Bibliographic Records 21

Lehigh: Goals •Leverage our existing campus identity management infrastructure •Streamline our process of keeping patron information current •Authentication using existing Lehigh user id and password/LDAP •Accommodate Lehigh and non-campus patrons – Friends of Libraries

November 11, 2015

Lehigh: Preparation – Data Analysis • Circulation Manager worked with IdM team to define necessary patron data elements • Patron types were simplified to align more closely with IdM • Understand roles and permissions within OLE and decide which roles each staff member needs to perform their work November 11, 2015

Lehigh: Initial load of patron records into OLE Existing Library System Extract

Identity Management Extract

Custom Loader

OLE

Extract patron records from IdM Extract patron records from SIRSI Custom loader : Combines IdM export and information from our existing library system .

Lehigh University Which patrons are library staff? Library Staff and Roles in OLE

Custom Loader

OLE

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Lehigh: Maintaining Patron Information

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Lehigh: Maintaining Patron Information Staff AuthN

Patron AuthN

HTTP Proxy

LDAP

VuFind

OLE Trust: Patron APIs

[Patron barcode] 27

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