ArticleScientific data2023
Developing a standardized but extendable framework to increase the findability of infectious disease datasets.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight.Bioactive materials · 2027Review
- Strengthening health management information systems for Chagas disease: a multi-level qualitative study in Bolivia and Paraguay.Lancet regional health. Americas · 2026Article
- The NIAID Discovery Portal: a unified search engine for infectious and immune-mediated disease datasets.mSystems · 2026Article
- A Scoping Review of Machine Learning Applications Across Epidemiological Stages of Zoonotic Disease.Transboundary and emerging diseases · 2026Article
- Infectious, Allergic, and Immune-Mediated Disease Data Resources: a Landscape Overview and Subset Assessment.Journal of medical systems · 2025Review
- Datagraphy: toward a systematic approach to dataset discovery.GigaScience · 2025Article
- A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis.Interdisciplinary perspectives on infectious diseases · 2025Review
- The quest to share data.Frontiers in neuroinformatics · 2025Article
- Towards Machine-FAIR: Representing software and datasets to facilitate reuse and scientific discovery by machines.Journal of biomedical informatics · 2024Article
- Data sharing and reuse in clinical research: Are we there yet? A cross-sectional study on progress, challenges and opportunities in LMICs.PLOS global public health · 2024Article
- Schema Playground: a tool for authoring, extending, and using metadata schemas to improve FAIRness of biomedical data.BMC bioinformatics · 2023Article
- Developing a standardized but extendable framework to increase the findability of infectious disease datasets.Scientific data · 2023Article
- Addressing barriers in FAIR data practices for biomedical data.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease researchers from 15 Centers, we aim to adopt open science practices to promote transparency, encourage reproducibility, and accelerate research advances through data reuse. To improve FAIRness of our datasets and computational tools, we evaluated metadata standards across established biomedical data repositories. The vast majority do not adhere to a single standard, such as Schema.org, which is widely-adopted by generalist repositories. Consequently, datasets in these repositories are not findable in aggregation projects like Google Dataset Search. We alleviated this gap by creating a reusable metadata schema based on Schema.org and catalogued nearly 400 datasets and computational tools we collected. The approach is easily reusable to create schemas interoperable with community standards, but customized to a particular context. Our approach enabled data discovery, increased the reusability of datasets from a large research consortium, and accelerated research. Lastly, we discuss ongoing challenges with FAIRness beyond discoverability.
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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 OpenQuestion graph.