Supporting Trusted OA Usage Data Reporting and Analytics through Shared Infrastructure

Chair: Elizabeth Krznarich, DataCite

To support evidence-based decision-making that factors in the reach and impact of open scholarship, usage and altmetric data related to open access datasets and publications must be interoperable with metadata from libraries and publishers. Today, individual repositories, publishers, libraries, and their services aggregate and transform usage data to meet the needs of their members, authors, and funders. While various OA usage reports must currently be manually curated and aggregated at the institution level, multiple parties are exploring how to provide trusted solutions to increase metrics transparency and reduce the labor involved in cross-platform OA output usage and impact reporting.

This session will explore how multiple organizations across the OA usage data ecosystem function together to increase trust in aggregated cross-platform usage data. In this session, participants will hear from an array of organizations that create or steward OA usage data, or provide PIDs related to OA usage data. After a brief overview of the OA usage data supply chain, panelists will describe their organization's role in fostering trusted OA output usage data and identify future areas for collaborative development.