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NEI Office of Data Science and Health Informatics

Harnessing the power of data in vision research


The National Eye Institute (NEI) collects human data through clinical studies and trials in both its intramural and extramural divisions. Human data are notable for their complexity and lack of interoperability. Yet these data are used for the treatment of the patient from whom they derive. It is important to recognize and characterize the different types of health and healthcare data in order to articulate coherent and complete research questions and to develop treatment methodologies for blinding eye diseases and visual impairment. The Office of Data Science and Health Informatics (ODSHI) coordinates existing activities within the NEI, and across NIH, and other government agencies to provide a nidus for new trans-agency programs in data collection, data sharing and data interoperability. ODSHI works to accelerate scientific discovery, foster collaborative research, and ultimately improve public health through the application of scientific data and knowledge management in the eye health sciences.

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Events and Announcements

NEI/NIBIB/All of Us: Opportunities for Ophthalmology Research in Large Research Cohorts Workshop (Summary NOW AVAILABLE)

This workshop, co-hosted in April by the National Eye Institute (NEI), the National Institute of Biomedical Imaging and Bioengineering (NIBIB), and the All of Us Research Program (All of Us), explored the current state of the field, opportunities to expand research with large retinal imaging cohorts, and the data and analytical tools needed to advance the research.

NEI Seeking: Approaches to Access the Impact of Data Sharing

In January 2023, the NIH implemented the agency’s Data Management and Sharing (DMS) Policy to promote the dissemination of scientific data and accelerate progress in biomedical research. The NEI is interested in exploring emerging and established methods being developed that evaluate the impact and reward data sharing. in scientific and engineering research fields including biomedical, clinical, social & behavioral, and data sciences, among others, and provide insights to authors about data use.

NEI seeks to better understand the landscape of nascent and existing approaches to assess the impact of data sharing, with a specific focus on primary data. This encompasses various types of information, including sequence data, software, and datasets, among others. Approaches may include individual-level assessment metrics, similar o the h-index for publications, or dataset use metrics, such as provenance tracking. NEI anticipates that this effort will inform a trans-agency activity that will be announced at a later date. For more information on this endeavor, please contact

NEI Welcomes Data and Technology Advancement (DATA) National Service Scholar 

Dr. Michelle Hribar from Oregon Health & Science University (OHSU) has joined National Eye Institute (NEI) as a NIH DATA Scholar. She is an Associate Professor in the Ophthalmology and in the department of Medical Informatics and Clinical Epidemiology at OHSU where she leads the ophthalmic informatics research group at Casey Eye Institute. Her NIH funded research focuses on the effective reuse of electronic health record (EHR) data for research in ophthalmology. Dr. Hribar received her PhD in Computer Science from Northwestern University in Evanston, Illinois and began her professional career in high performance computing at NASA Ames Research Center. She has worked at OHSU since 2005 in a variety of different roles in computing and technology before transitioning to faculty in medical informatics and ophthalmology. Her role at the NEI will be to drive community consensus building to improve ocular health care data standardization and spearhead efforts to improve a Common Data Model (CDM) to facilitate research using data collected in routine eye care. 

NEI-FDA-ONC Joint Workshop on Promoting Adoption of Ocular Imaging Standards (Summary NOW AVAILABLE)

This virtual NEI, FDA, and ONC hosted workshop focused on delineating the state of the science and improving interoperability among ocular imaging modalities and devices to improve biomedical research and patient care.

NEI Ocular Imaging Standards RFI: Executive Summary  May 2022

In early 2022, the National Eye Institute (NEI) issued a Request for Information (RFI) regarding ocular imaging standards. This RFI requested input regarding eight questions. An executive summary of the responses is provided.   

NEI Strategic Plan: Vision for the Future (2021-2025)

Data Science has been included as one of the 7 areas of emphasis in the 2021 NEI Strategic Plan – see how NEI has highlighted important perspective and expertise on this topic.

NIH Strategically, and Ethically, Building a Bridge to AI (Bridge2AI)

NIH Common Fund’s Bridge2AI program – NIH has launched a new trans-agency effort to harness the power of AI to propel biomedical and behavioral research forward.

Data Sharing

NEI is dedicated to accelerating vision research by sharing impactful data.

NIH Data Management and Sharing Policy

NIH has a longstanding commitment to making the results of NIH-funded funded research available.  Responsible data management and sharing has many benefits, including accelerating the pace of biomedical research, enabling validation of research results, and providing accessibility to high-value datasets.

National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®)

eyeGENE® is a genomic medicine initiative that’s facilitating research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. 

NEI Age-Related Macular Degeneration (AMD) Integrative Biology Initiative

Seeks a more precise description of AMD disease pathobiology by using AMD genetic risk factors as sentinels for specific RPE signaling pathways and for changes in RPE physiology.

National Eye Institute Data Commons

Offers a central source for NEI biomedical digital objects including data sets, software and analytical workflow, metadata, standards, and publications. 

NIH Common Data Elements (CDE) Repository

Designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. 

Additional Resources

Common Data Elements (CDEs) Course: Standardizing data collection

This course from the National Library of Medicine® is about making data collection and data sharing easier using common data elements (CDEs). 

ODSHI Contacts

Kerry Goetz

Kerry Goetz

Associate Director



Image of Amber Reed

Amber Reed

Assistant Director



Syed Haqqani headshot.

Syed Umair Haqqani

Health Science Policy Analyst


Headshot of Michelle Hribar

Michelle Hribar

Data Scholar


Natanya Headshot

Natanya Malcolm

Executive Assistant


Last updated: October 12, 2023