Knowledge Beacons: Web services for data harvesting of distributed biomedical knowledge

The continually expanding distributed global compendium of biomedical knowledge is diffuse, heterogeneous and huge, posing a serious challenge for biomedical researchers in knowledge harvesting: accessing, compiling, integrating and interpreting data, information and knowledge. In order to accelerat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one Jg. 16; H. 3; S. e0231916
Hauptverfasser: Hannestad, Lance M., Dančík, Vlado, Godden, Meera, Suen, Imelda W., Huellas-Bruskiewicz, Kenneth C., Good, Benjamin M., Mungall, Christopher J., Bruskiewich, Richard M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 23.03.2021
Public Library of Science (PLoS)
Schlagworte:
Annotations
Biology and Life Sciences
Biomedical data
Biomedical research
Computer and Information Sciences
Consortia
Data interpretation
Data models
Ecology and Environmental Sciences
Engineering and Technology
Informatics
Integration
International aspects
Internet
Internet service providers
Keywords
Knowledge
Knowledge management
KNOWLEDGE MANAGEMENT AND PRESERVATION
Laboratories
Libraries
Medical research
Medical treatment
Medicine, Experimental
Metadata
Model testing
Physical Sciences
Project feasibility
Queries
Research and Analysis Methods
Science Policy
Semantics
Social aspects
Social Sciences
Specifications
Technology application
Web services
Canada
United States > US
ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The continually expanding distributed global compendium of biomedical knowledge is diffuse, heterogeneous and huge, posing a serious challenge for biomedical researchers in knowledge harvesting: accessing, compiling, integrating and interpreting data, information and knowledge. In order to accelerate research towards effective medical treatments and optimizing health, it is critical that efficient and automated tools for identifying key research concepts and their experimentally discovered interrelationships are developed. As an activity within the feasibility phase of a project called “Translator” ( https://ncats.nih.gov/translator ) funded by the National Center for Advancing Translational Sciences (NCATS) to develop a biomedical science knowledge management platform, we designed a Representational State Transfer (REST) web services Application Programming Interface (API) specification, which we call a Knowledge Beacon. Knowledge Beacons provide a standardized basic API for the discovery of concepts, their relationships and associated supporting evidence from distributed online repositories of biomedical knowledge. This specification also enforces the annotation of knowledge concepts and statements to the NCATS endorsed the Biolink Model data model and semantic encoding standards ( https://biolink.github.io/biolink-model/ ). Implementation of this API on top of diverse knowledge sources potentially enables their uniform integration behind client software which will facilitate research access and integration of biomedical knowledge.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
AC02-05CH11231; 1OT2TR002584; OT3TR002025; 1OT3TR002019
USDOE Office of Science (SC)
National Institutes of Health (NIH)
Competing Interests: The commercial role of RMB within STAR Informatics / Delphinai Corporation is one of Founder CEO and Principal Scientist of the firm. All other authors working for the firm conducted the work under regular full-time or temporary employment contract basis, under primary supervision by RMB. The Biomedical Data Translator project outputs for this paper, open sourced and access in nature, as delivered by the consultancy subcontract, do not represent any other marketable commercial benefit to the firm in terms of patents, products in development, or marketed products. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
These authors are joint senior authors on this work.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0231916