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Best Practice Leads to the Best Materials Informatics

Barnard, Amanda

Description

Developing and employing best practice is an important stage in a maturing scientific discipline and is well overdue for the field of materials informatics, where a systematic approach to data science is needed to ensure the reliability and reproducibility of results.

dc.contributor.authorBarnard, Amanda
dc.date.accessioned2020-07-14T03:28:04Z
dc.identifier.citationMatter 3, 12–26, July 1, 2020
dc.identifier.issn2590-2385
dc.identifier.urihttp://hdl.handle.net/1885/206129
dc.description.abstractDeveloping and employing best practice is an important stage in a maturing scientific discipline and is well overdue for the field of materials informatics, where a systematic approach to data science is needed to ensure the reliability and reproducibility of results.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherCell Press
dc.rights© 2020 Elsevier Inc
dc.subjectmaterials informatics
dc.subjectdata science
dc.subjectmachine learning
dc.titleBest Practice Leads to the Best Materials Informatics
dc.typeJournal article
local.description.notesDeposited by author
local.identifier.citationvolume3
dcterms.dateAccepted2020-06-01
dc.date.issued2020-07-01
local.publisher.urlhttps://www.sciencedirect.com/
local.type.statusPublished Version
local.contributor.affiliationBarnard, Amanda S., Research School of Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage12
local.bibliographicCitation.lastpage26
local.identifier.doi10.1016/j.matt.2020.06.003
CollectionsANU Research Publications

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