ArticleEnvironment international2026
The development of the Human Health Exposure Analysis Resource (HHEAR) Data Repository for environmental epidemiology research.
Article in Environment international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Implementation of the exposome paradigm is a critical aspect of the next generation of environmental health research studies. To spur exposomics research, the U.S.-based Human Health Exposure Analysis Resource (HHEAR) provided scientific investigators access to both laboratory and statistical analyses aimed at incorporating and expanding the breadth of biological markers of environmental exposures within their research. To extend the benefits of this program to the broader scientific community, the HHEAR Data Center established a public data repository to facilitate pooling and sharing of data generated by the HHEAR program. All HHEAR investigators deposited epidemiologic data on study participants, to accompany the biomarkers of exposure generated by the HHEAR laboratories. The latest semantic technologies are used to efficiently conduct data standardization across studies and promote data sharing by aligning the repository with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. This includes standardizing individual study data to a common ontology and representing data within a knowledge graph. A clear user interface enables search, construction, and download of customized datasets and maintenance of provenance through use of digital object identifiers. The repository will eventually contain information from 35,989 individuals across 55 environmental health studies, including data on biomarkers of environmental exposures, sociodemographics, health outcomes, and physical and mental assessments. All data are freely downloadable for reuse after a brief application for data access. Designed to support cutting-edge research and education, the HHEAR Data Repository provides a rich, harmonized resource of exposure biomarkers and corresponding health data from diverse study populations.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.