A framework for traceble storage and curation of measurement data

We outline a generic framework for capturing metadata from complex scientific experiments and linking these to data at the point of measurement. To digitally record metadata that may not be recorded in a machine-actionable way, we develop a simple and customisable webform based on a controlled dicti...

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Main Authors: Spencer A. Thomas, Frederic Brochu
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421001641
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author Spencer A. Thomas
Frederic Brochu
author_facet Spencer A. Thomas
Frederic Brochu
author_sort Spencer A. Thomas
collection DOAJ
description We outline a generic framework for capturing metadata from complex scientific experiments and linking these to data at the point of measurement. To digitally record metadata that may not be recorded in a machine-actionable way, we develop a simple and customisable webform based on a controlled dictionary. We implement our workflow for the CRUK Rosetta Grand Challenge Project which first combines metadata from multiple sources, including external sample or laboratory management systems, into a standard Extensible Markup Language schema. It then links the combined metadata with measurement data, and uploads the annotated data to a searchable database enabling automatic curation. This framework provides a workflow for establishing a metrologically FAIR (findable, accessible, interoperable, and reusable) traceable database. This unbroken chain of traceable measurements will improve confidence, repeatability, reuse, and longevity of data. Our standardised metadata is used to generate automatic reports of experimental methods for efficient error-free preparation of manuscripts.
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spelling doaj.art-f1a73af1f124438a937f73f1351b15012022-12-21T22:53:41ZengElsevierMeasurement: Sensors2665-91742021-12-0118100201A framework for traceble storage and curation of measurement dataSpencer A. Thomas0Frederic Brochu1Corresponding author.; National Physical Laboratory, Teddington, UKNational Physical Laboratory, Teddington, UKWe outline a generic framework for capturing metadata from complex scientific experiments and linking these to data at the point of measurement. To digitally record metadata that may not be recorded in a machine-actionable way, we develop a simple and customisable webform based on a controlled dictionary. We implement our workflow for the CRUK Rosetta Grand Challenge Project which first combines metadata from multiple sources, including external sample or laboratory management systems, into a standard Extensible Markup Language schema. It then links the combined metadata with measurement data, and uploads the annotated data to a searchable database enabling automatic curation. This framework provides a workflow for establishing a metrologically FAIR (findable, accessible, interoperable, and reusable) traceable database. This unbroken chain of traceable measurements will improve confidence, repeatability, reuse, and longevity of data. Our standardised metadata is used to generate automatic reports of experimental methods for efficient error-free preparation of manuscripts.http://www.sciencedirect.com/science/article/pii/S2665917421001641ReproducibilityData curationData traceabilityMetadataFAIR data
spellingShingle Spencer A. Thomas
Frederic Brochu
A framework for traceble storage and curation of measurement data
Measurement: Sensors
Reproducibility
Data curation
Data traceability
Metadata
FAIR data
title A framework for traceble storage and curation of measurement data
title_full A framework for traceble storage and curation of measurement data
title_fullStr A framework for traceble storage and curation of measurement data
title_full_unstemmed A framework for traceble storage and curation of measurement data
title_short A framework for traceble storage and curation of measurement data
title_sort framework for traceble storage and curation of measurement data
topic Reproducibility
Data curation
Data traceability
Metadata
FAIR data
url http://www.sciencedirect.com/science/article/pii/S2665917421001641
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