Digital infrastructure for a scalable exchange of sensitive and proprietary usage and impact metrics across public and private stakeholders

This presentation shares the potential for digital infrastructure to support the exchange and processing of sensitive and proprietary usage and impact metrics generated by publishers, libraries and distributors. Services provision usage data for open science; yet, opportunities exist to improve the granularity and quality of usage data by moving from the data harvesting economy towards a future supported by shared open infrastructures, secure data brokerage, machine-based dataflows and third-party auditing.

After researching and documenting the challenges, use cases and supply chain for OA book usage data from 2015-2021, the OA Book Usage Data Trust effort is developing governance building blocks for a sustainable infrastructure modelled on a certifiable European IDS (International Data Space) model. This model ensures that organizations wanting to participate in data sharing meet the highest security standards and that usage data exchange would be trusted and support ethical, non-harmful data use.

It also builds towards an understanding of a) similarities across the usage and impact data supply chain for articles, data, and books; b) the unique characteristics and similarities of usage and impact related vocabularies across multi-disciplinary scholarship, and c) emerging principles to guide the trusted public/private exchange of usage data at scale.

About the OA Book Usage Data Trust (OAEBUDT) effort

The OAEBUDT effort aims to foster a secure, multi-party exchange, aggregation and benchmarking of book usage related data, to increase trust in usage metrics, improve data quality, and reduce reporting and compliance resource-burdens related to OA usage data. With Mellon Foundation support, the project is developing ethical data use guidelines to inform OA book usage data sharing agreements and technical requirements to support data exchange between public and commercial OA book usage data creators.