Uncovering the structure of self-regulation through data-driven ontology discovery

Scientific progress relies on integrating and building on existing knowledge. Here, the authors propose improving cumulative science by developing data-driven ontologies, and they apply this approach to understanding the construct of self-regulation.

Guardado en:
Detalles Bibliográficos
Autores principales: Ian W. Eisenberg, Patrick G. Bissett, A. Zeynep Enkavi, Jamie Li, David P. MacKinnon, Lisa A. Marsch, Russell A. Poldrack
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Q
Acceso en línea:https://doaj.org/article/5113eaa6e26d440cad2af4c6dd73fbd9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5113eaa6e26d440cad2af4c6dd73fbd9
record_format dspace
spelling oai:doaj.org-article:5113eaa6e26d440cad2af4c6dd73fbd92021-12-02T14:39:00ZUncovering the structure of self-regulation through data-driven ontology discovery10.1038/s41467-019-10301-12041-1723https://doaj.org/article/5113eaa6e26d440cad2af4c6dd73fbd92019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10301-1https://doaj.org/toc/2041-1723Scientific progress relies on integrating and building on existing knowledge. Here, the authors propose improving cumulative science by developing data-driven ontologies, and they apply this approach to understanding the construct of self-regulation.Ian W. EisenbergPatrick G. BissettA. Zeynep EnkaviJamie LiDavid P. MacKinnonLisa A. MarschRussell A. PoldrackNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Ian W. Eisenberg
Patrick G. Bissett
A. Zeynep Enkavi
Jamie Li
David P. MacKinnon
Lisa A. Marsch
Russell A. Poldrack
Uncovering the structure of self-regulation through data-driven ontology discovery
description Scientific progress relies on integrating and building on existing knowledge. Here, the authors propose improving cumulative science by developing data-driven ontologies, and they apply this approach to understanding the construct of self-regulation.
format article
author Ian W. Eisenberg
Patrick G. Bissett
A. Zeynep Enkavi
Jamie Li
David P. MacKinnon
Lisa A. Marsch
Russell A. Poldrack
author_facet Ian W. Eisenberg
Patrick G. Bissett
A. Zeynep Enkavi
Jamie Li
David P. MacKinnon
Lisa A. Marsch
Russell A. Poldrack
author_sort Ian W. Eisenberg
title Uncovering the structure of self-regulation through data-driven ontology discovery
title_short Uncovering the structure of self-regulation through data-driven ontology discovery
title_full Uncovering the structure of self-regulation through data-driven ontology discovery
title_fullStr Uncovering the structure of self-regulation through data-driven ontology discovery
title_full_unstemmed Uncovering the structure of self-regulation through data-driven ontology discovery
title_sort uncovering the structure of self-regulation through data-driven ontology discovery
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/5113eaa6e26d440cad2af4c6dd73fbd9
work_keys_str_mv AT ianweisenberg uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT patrickgbissett uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT azeynepenkavi uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT jamieli uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT davidpmackinnon uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT lisaamarsch uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
AT russellapoldrack uncoveringthestructureofselfregulationthroughdatadrivenontologydiscovery
_version_ 1718390771405553664