Evidence map›Paper›PMID 37081398›Full record

ArticleBMC bioinformatics2023

Schema Playground: a tool for authoring, extending, and using metadata schemas to improve FAIRness of biomedical data.

Marco A Cano, Ginger Tsueng, Xinghua Zhou, Jiwen Xin, Laura D Hughes, Julia L Mullen, Andrew I Su, Chunlei Wu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Marco A CanoThe Scripps Research Institute, San Diego, USA.
Ginger TsuengThe Scripps Research Institute, San Diego, USA. gtsueng@scripps.edu.ORCID http://orcid.org/0000-0001-9536-9115
Xinghua ZhouThe Scripps Research Institute, San Diego, USA.
Jiwen XinThe Scripps Research Institute, San Diego, USA.
Laura D HughesThe Scripps Research Institute, San Diego, USA.
Julia L MullenThe Scripps Research Institute, San Diego, USA.
Andrew I SuThe Scripps Research Institute, San Diego, USA.
Chunlei WuThe Scripps Research Institute, San Diego, USA.
Scripps Research Institute · US

Funding

Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Robert F Garry · 2018 to 2026
$32.0M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
NCATS NIH HHS 5 U24 TR002306NCATS NIH HHS U24 TR002306NIAID NIH HHS U19 AI135995
6 · The paper itself

Abstract

backgroundBiomedical researchers are strongly encouraged to make their research outputs more Findable, Accessible, Interoperable, and Reusable (FAIR). While many biomedical research outputs are more readily accessible through open data efforts, finding relevant outputs remains a significant challenge. Schema.org is a metadata vocabulary standardization project that enables web content creators to make their content more FAIR. Leveraging Schema.org could benefit biomedical research resource providers, but it can be challenging to apply Schema.org standards to biomedical research outputs. We created an online browser-based tool that empowers researchers and repository developers to utilize Schema.org or other biomedical schema projects.

resultsOur browser-based tool includes features which can help address many of the barriers towards Schema.org-compliance such as: The ability to easily browse for relevant Schema.org classes, the ability to extend and customize a class to be more suitable for biomedical research outputs, the ability to create data validation to ensure adherence of a research output to a customized class, and the ability to register a custom class to our schema registry enabling others to search and re-use it. We demonstrate the use of our tool with the creation of the Outbreak.info schema-a large multi-class schema for harmonizing various COVID-19 related resources.

conclusionsWe have created a browser-based tool to empower biomedical research resource providers to leverage Schema.org classes to make their research outputs more FAIR.

Indexed as

Biomedical ResearchCOVID-19HumansMetadataFAIR resourcesMetadataSchemaStandardization

Identifiers

PMID37081398
PMCPMC10116472
OpenAlexW4366588846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.