PIDfest 26

Towards a PID-enabled NIH Research Data Ecosystem

Learn how NIH aims to improve the findability and transparency of research outputs by expanding the use of persistent identifiers (PIDs) and standardized metadata to better connect researchers, funding, and research outputs.


The National Institutes of Health (NIH) is committed to enhancing the findability and transparency of research results. Building a more connected persistent identifier (PID) infrastructure across the biomedical research ecosystem is one approach to advancing this goal. This requires expanded and coordinated use of PIDs – such as including DOIs, ORCID IDs, grant identifiers, and emerging identifiers for data, protocols, and organizations - paired with standardized metadata to create interoperable linkages among research activities and outputs.

You will learn about NIH’s approach to PID adoption to potentially enable end-to-end connectivity among researchers, funding, outputs, and institutions. You will hear about key benefits for the PID community, including improved attribution, automated reporting, and enhanced discovery, while also addressing challenges related to metadata quality, system integration, and equitable implementation across stakeholders.

This talk will also explore how NIH’s coordinated PID strategy can reduce administrative burden and advance open science and research transparency. Attendees will gain insight into NIH’s direction and understand the critical roles that PID providers, institutions, and researchers play in shaping a scalable, interoperable, and inclusive PID ecosystem.

The speaker’s profile picture
Ishwar Chandramouliswaran

Ishwar Chandramouliswaran is a lead program director in the Office of Data Science Strategy (ODSS) at the National Institutes of Health’s (NIH).

He provides leadership, strategic guidance, and coordination of trans-NIH FAIR data science programs driven by researcher needs and emerging technologies. They include initiatives to establish a modernized biomedical data and repository ecosystem, best practices in research software development and data stewardship as well as establish community partnerships to enhance education, adoption, and implementation of FAIR practices.