Cargando…

Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations

Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling t...

Descripción completa

Detalles Bibliográficos
Autores principales: Karcher, Sandra, Willighagen, Egon L., Rumble, John, Ehrhart, Friederike, Evelo, Chris T., Fritts, Martin, Gaheen, Sharon, Harper, Stacey L., Hoover, Mark D., Jeliazkova, Nina, Lewinski, Nastassja, Marchese Robinson, Richard L., Mills, Karmann C., Mustad, Axel P., Thomas, Dennis G., Tsiliki, Georgia, Ogilvie Hendren, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145474/
https://www.ncbi.nlm.nih.gov/pubmed/30246165
http://dx.doi.org/10.1016/j.impact.2017.11.002
_version_ 1783356264983560192
author Karcher, Sandra
Willighagen, Egon L.
Rumble, John
Ehrhart, Friederike
Evelo, Chris T.
Fritts, Martin
Gaheen, Sharon
Harper, Stacey L.
Hoover, Mark D.
Jeliazkova, Nina
Lewinski, Nastassja
Marchese Robinson, Richard L.
Mills, Karmann C.
Mustad, Axel P.
Thomas, Dennis G.
Tsiliki, Georgia
Ogilvie Hendren, Christine
author_facet Karcher, Sandra
Willighagen, Egon L.
Rumble, John
Ehrhart, Friederike
Evelo, Chris T.
Fritts, Martin
Gaheen, Sharon
Harper, Stacey L.
Hoover, Mark D.
Jeliazkova, Nina
Lewinski, Nastassja
Marchese Robinson, Richard L.
Mills, Karmann C.
Mustad, Axel P.
Thomas, Dennis G.
Tsiliki, Georgia
Ogilvie Hendren, Christine
author_sort Karcher, Sandra
collection PubMed
description Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling the reuse of the same information. Integration can also serve as the impetus for novel scientific discoveries by providing the framework to support deeper data analyses. This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. Based on results from a nanoinformatics-community-wide survey, recommendations for achieving integration of existing operational nanotechnology resources are presented. Nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines. This paper is one of a series of articles by the Nanomaterial Data Curation Initiative that address data issues such as data curation workflows, data completeness and quality, curator responsibilities, and metadata.
format Online
Article
Text
id pubmed-6145474
institution National Center for Biotechnology Information
language English
publishDate 2018
record_format MEDLINE/PubMed
spelling pubmed-61454742018-09-19 Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations Karcher, Sandra Willighagen, Egon L. Rumble, John Ehrhart, Friederike Evelo, Chris T. Fritts, Martin Gaheen, Sharon Harper, Stacey L. Hoover, Mark D. Jeliazkova, Nina Lewinski, Nastassja Marchese Robinson, Richard L. Mills, Karmann C. Mustad, Axel P. Thomas, Dennis G. Tsiliki, Georgia Ogilvie Hendren, Christine NanoImpact Article Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling the reuse of the same information. Integration can also serve as the impetus for novel scientific discoveries by providing the framework to support deeper data analyses. This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. Based on results from a nanoinformatics-community-wide survey, recommendations for achieving integration of existing operational nanotechnology resources are presented. Nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines. This paper is one of a series of articles by the Nanomaterial Data Curation Initiative that address data issues such as data curation workflows, data completeness and quality, curator responsibilities, and metadata. 2018-01 /pmc/articles/PMC6145474/ /pubmed/30246165 http://dx.doi.org/10.1016/j.impact.2017.11.002 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/BY-NC-ND/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Karcher, Sandra
Willighagen, Egon L.
Rumble, John
Ehrhart, Friederike
Evelo, Chris T.
Fritts, Martin
Gaheen, Sharon
Harper, Stacey L.
Hoover, Mark D.
Jeliazkova, Nina
Lewinski, Nastassja
Marchese Robinson, Richard L.
Mills, Karmann C.
Mustad, Axel P.
Thomas, Dennis G.
Tsiliki, Georgia
Ogilvie Hendren, Christine
Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title_full Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title_fullStr Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title_full_unstemmed Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title_short Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
title_sort integration among databases and data sets to support productive nanotechnology: challenges and recommendations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145474/
https://www.ncbi.nlm.nih.gov/pubmed/30246165
http://dx.doi.org/10.1016/j.impact.2017.11.002
work_keys_str_mv AT karchersandra integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT willighagenegonl integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT rumblejohn integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT ehrhartfriederike integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT evelochrist integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT frittsmartin integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT gaheensharon integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT harperstaceyl integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT hoovermarkd integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT jeliazkovanina integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT lewinskinastassja integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT marcheserobinsonrichardl integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT millskarmannc integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT mustadaxelp integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT thomasdennisg integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT tsilikigeorgia integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations
AT ogilviehendrenchristine integrationamongdatabasesanddatasetstosupportproductivenanotechnologychallengesandrecommendations