NDLI: Automatic detection and resolution of measurement-unit conflicts in aggregated data

Content Provider	Springer Nature : BioMed Central
Author	Samadian, Soroush McManus, Bruce Wilkinson, Mark D
Abstract	Background Measurement-unit conflicts are a perennial problem in integrative research domains such as clinical meta-analysis. As multi-national collaborations grow, as new measurement instruments appear, and as Linked Open Data infrastructures become increasingly pervasive, the number of such conflicts will similarly increase. Methods We propose a generic approach to the problem of (a) encoding measurement units in datasets in a machine-readable manner, (b) detecting when a dataset contained mixtures of measurement units, and (c) automatically converting any conflicting units into a desired unit, as defined for a given study. Results We utilized existing ontologies and standards for scientific data representation, measurement unit definition, and data manipulation to build a simple and flexible Semantic Web Service-based approach to measurement-unit harmonization. A cardiovascular patient cohort in which clinical measurements were recorded in a number of different units (e.g., mmHg and cmHg for blood pressure) was automatically classified into a number of clinical phenotypes, semantically defined using different measurement units. Conclusions We demonstrate that through a combination of semantic standards and frameworks, unit integration problems can be automatically detected and resolved.
Related Links	https://bmcmedgenomics.biomedcentral.com/counter/pdf/10.1186/1755-8794-7-S1-S12.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
ISSN	17558794
DOI	10.1186/1755-8794-7-S1-S12
Journal	BMC Medical Genomics
Issue Number	1
Volume Number	7
Language	English
Publisher	BioMed Central
Publisher Date	2014-05-08
Access Restriction	Open
Subject Keyword	Human Genetics Microarrays Gene Expression Resource Description Framework SPARQL Query Resource Description Framework Data Body Mass Index Class Unit Exponentiation
Content Type	Text
Resource Type	Article
Subject	Genetics (clinical) Genetics
Journal Impact Factor	2.1/2023
5-Year Journal Impact Factor	2.5/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic detection and resolution of measurement-unit conflicts in aggregated data

RESEARCH Open Access Automatic detection and resolution of measurement-unit conflicts in aggregated data (2013)

PO2RDF: representation of real-world data for precision oncology using resource description framework

Towards efficient sparql query processing on rdf data *.

A metadata approach for clinical data management in translational genomics studies in breast cancer

Towards linked open gene mutations data

A Machine Learning Approach to SPARQL Query Performance Prediction

Efficient SPARQL Query Evaluation in a Database Cluster

Index Support for SPARQL

Automatic detection and resolution of measurement-unit conflicts in aggregated data

Similar Documents

Automatic detection and resolution of measurement-unit conflicts in aggregated data

RESEARCH Open Access Automatic detection and resolution of measurement-unit conflicts in aggregated data (2013)

PO2RDF: representation of real-world data for precision oncology using resource description framework

Towards efficient sparql query processing on rdf data *.

A metadata approach for clinical data management in translational genomics studies in breast cancer

Towards linked open gene mutations data

A Machine Learning Approach to SPARQL Query Performance Prediction

Efficient SPARQL Query Evaluation in a Database Cluster

Index Support for SPARQL

Automatic detection and resolution of measurement-unit conflicts in aggregated data