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Reimagining Discovery DRAFT charter

Project Goals

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Transforming how researchers, students, and the global community access and explore Harvard's extensive collections, while making all kinds of information easily discoverable and accessible.

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Problem and Value Statements

Problem Statement

Since its founding, Harvard Library has been a guardian of the University’s memory and a gateway to the world's knowledge. We currently host an array of discovery systems that use different design approaches, organizational priorities, and technology standards. Scholars and the public expect to be able to find trustworthy information and discover resources easily regardless of the system that is managing and providing access to it.

Solution Business Value

By enabling rich cross-collection search, this project will offer end users intuitive, contextual discovery of special collections, archives and digital collections, through a mix of conversational interfaces, browsing that emphasizes the visual nature of materials when appropriate, and recommendations for similar or related resources, all informed by ongoing user research.

Alignment with Harvard Library Multi-Year Goals and Objectives

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  • Diversify and expand access to knowledge
  • Maximize the breadth of tangible and digital collections across Harvard and peer institutions, for the benefit of all partners

  • Increase our focus on acquiring, accessing, and creating digital content that is accessible to all, as open as possible, and permits creative uses of collections as data 

  • Invest in open access infrastructure and services that support equitable, sustainable models for scholarly communication and open knowledge

Vision

In Scope/Out of Scope

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Revolutionize how researchers, students, and the global community access and explore Harvard's extensive collections, making all kinds of information easily discoverable and accessible.

In Scope

  • Replace HOLLIS for Images and Harvard Digital Collections
  • Reimagine metadata pipeline

Out of Scope

Deliverables and Work Products

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Definition of Done

Stakeholders

(Who is sponsoring the work? Who is funding the work? Who will accept the work? What organizations, departments, or people will benefit from this work? Link to related governance structure wiki page(s) where relevant.)

Executive Stakeholders

Title

Martha WhiteheadVP for Harvard Library and University Librarian
Stu SnydmanAUL ; & Managing Director for Library Technology Services
OpenAUL for Discovery and Access
Tom HyryAUL for Archives and Special Collections

The Library Stakeholders are acting as an extended project team, meeting weekly to help inform and prioritize the work.

Library Stakeholders

Title

Amy DeschenesHead of UX and Digital Accessibility
Kai FayDiscovery & Access Strategic Projects Manager

Adrien Hilton

Director of Technical Services for Archives and Special Collections
Chelcie RowellAssociate Head of Digital Collections Discovery
Shalimar Fojas WhiteHerman & Joan Suit Librarian, Fine Arts Library

Technical Project Team

(Roles include: Product Owner, Project Manager, Scrum Master, Business Analyst, Quality Assurance Analyst, Architect, Software Engineer, Systems Engineer, UI Designer, Metadata Analyst, Subject Matter Expert, Release Coordinator)

Team Member

Title

Project Role(s)

Enrique DiazManager of Library Software EngineeringProduct Owner (LTS)
Doug SimonSenior Digital Library Software EngineerDeveloper (LTS)
JJ ChenDigital Library Data EngineerDeveloper (LTS)
Maura MeagherAssociate UX DeveloperDeveloper (LTS)
Carolyn CaizziSenior IT Project ManagerProject Manager/ Scrum Lead (LTS)
Robert HamptonUX ResearcherUX Researcher/Designer (HL)

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Estimated Schedule

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Note: Project is managed by using the Scrum framework and these phases/milestones will be adjusted. Below is a tentative plan for Year 1 of project.

Phase

Phase Start

Phase End

Completion Milestone

1

July 2024

September 2024

Natural language discovery platform with generative AI features for
both
discovering digitized
and physical
, special and archival collections
with generative AI features
is built and tested by selected end users.
2

October 2024

December 2024Platform is adjusted based on user feedback, data pipeline is built, and platform scaled for a public soft launch. Design process for digitized collections component is completed.
3

January 2025

March 2025Digitized collections components are built. Platform is monitored for costs and analytics are gathered and reviewed for full launch
4

April 2025

June 2025Cont. building digitized collections components and platform is publicly launched

Assumptions, Constraints, Dependencies, and Risks

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