AI And Open Collections: Developing A Position And Policy For Repositories

In response to the technical, legal, and philosophical challenges posed by of the use of institutional repository collections by generative AI, the Bodleian Libraries at the University of Oxford have begun work developing a position and policy to articulate the issues we and other GLAM institutions face, and to describe positively to members of our community and external audiences how we wish our collections to be used. As one of the first pieces of work towards this, we surveyed the policy and guidance landscape across the GLAM and publishing sector, to understand and learn from steps others have taken – and to see the questions that they might also have but don’t have answers to. In this lightning talk, we will describe our approach to this work, summarise our findings, and outline how we have shaped the questions that we plan to address in our position and policy. We’ll then update colleagues about how we plan to take this work forward, to address the actual and perceived risks for our researchers, staff, and us as a library service.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18989321
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI And Open Collections: Developing A Position And Policy For Repositories

Dan Crane
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

AI And Open Collections: Developing A Position And Policy For Repositories

Dan Crane
article en

Abstract

In response to the technical, legal, and philosophical challenges posed by of the use of institutional repository collections by generative AI, the Bodleian Libraries at the University of Oxford have begun work developing a position and policy to articulate the issues we and other GLAM institutions face, and to describe positively to members of our community and external audiences how we wish our collections to be used. As one of the first pieces of work towards this, we surveyed the policy and guidance landscape across the GLAM and publishing sector, to understand and learn from steps others have taken – and to see the questions that they might also have but don’t have answers to. In this lightning talk, we will describe our approach to this work, summarise our findings, and outline how we have shaped the questions that we plan to address in our position and policy. We’ll then update colleagues about how we plan to take this work forward, to address the actual and perceived risks for our researchers, staff, and us as a library service.

Zenodo (CERN European Organization for Nuclear Research)
University of Oxford (GB)
Openalex Percentile: Top 41%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.