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Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions

Abstract. Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, b...

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Autores principales: Stucky, Brian J., Balhoff, James P., Barve, Narayani, Barve, Vijay, Brenskelle, Laura, Brush, Matthew H., Dahlem, Gregory A, Gilbert, James D. J., Kawahara, Akito Y., Keller, Oliver, Lucky, Andrea, Mayhew, Peter J., Plotkin, David, Seltmann, Katja C., Talamas, Elijah, Vaidya, Gaurav, Walls, Ramona, Yoder, Matt, Zhang, Guanyang, Guralnick, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426826/
https://www.ncbi.nlm.nih.gov/pubmed/30918448
http://dx.doi.org/10.3897/BDJ.7.e33303
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author Stucky, Brian J.
Balhoff, James P.
Barve, Narayani
Barve, Vijay
Brenskelle, Laura
Brush, Matthew H.
Dahlem, Gregory A
Gilbert, James D. J.
Kawahara, Akito Y.
Keller, Oliver
Lucky, Andrea
Mayhew, Peter J.
Plotkin, David
Seltmann, Katja C.
Talamas, Elijah
Vaidya, Gaurav
Walls, Ramona
Yoder, Matt
Zhang, Guanyang
Guralnick, Rob
author_facet Stucky, Brian J.
Balhoff, James P.
Barve, Narayani
Barve, Vijay
Brenskelle, Laura
Brush, Matthew H.
Dahlem, Gregory A
Gilbert, James D. J.
Kawahara, Akito Y.
Keller, Oliver
Lucky, Andrea
Mayhew, Peter J.
Plotkin, David
Seltmann, Katja C.
Talamas, Elijah
Vaidya, Gaurav
Walls, Ramona
Yoder, Matt
Zhang, Guanyang
Guralnick, Rob
author_sort Stucky, Brian J.
collection PubMed
description Abstract. Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, behavior, and trait evolution are impeded by the difficulty in obtaining and analyzing data derived from natural history observations of insects. These data are typically highly heterogeneous and widely scattered among many sources, which makes developing robust information systems to aggregate and disseminate them a significant challenge. As a step towards this goal, we report initial results of a new effort to develop a standardized vocabulary and ontology for insect natural history data. In particular, we describe a new database of representative insect natural history data derived from multiple sources (but focused on data from specimens in biological collections), an analysis of the abstract conceptual areas required for a comprehensive ontology of insect natural history data, and a database of use cases and competency questions to guide the development of data systems for insect natural history data. We also discuss data modeling and technology-related challenges that must be overcome to implement robust integration of insect natural history data.
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spelling pubmed-64268262019-03-27 Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions Stucky, Brian J. Balhoff, James P. Barve, Narayani Barve, Vijay Brenskelle, Laura Brush, Matthew H. Dahlem, Gregory A Gilbert, James D. J. Kawahara, Akito Y. Keller, Oliver Lucky, Andrea Mayhew, Peter J. Plotkin, David Seltmann, Katja C. Talamas, Elijah Vaidya, Gaurav Walls, Ramona Yoder, Matt Zhang, Guanyang Guralnick, Rob Biodivers Data J Short Communications Abstract. Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, behavior, and trait evolution are impeded by the difficulty in obtaining and analyzing data derived from natural history observations of insects. These data are typically highly heterogeneous and widely scattered among many sources, which makes developing robust information systems to aggregate and disseminate them a significant challenge. As a step towards this goal, we report initial results of a new effort to develop a standardized vocabulary and ontology for insect natural history data. In particular, we describe a new database of representative insect natural history data derived from multiple sources (but focused on data from specimens in biological collections), an analysis of the abstract conceptual areas required for a comprehensive ontology of insect natural history data, and a database of use cases and competency questions to guide the development of data systems for insect natural history data. We also discuss data modeling and technology-related challenges that must be overcome to implement robust integration of insect natural history data. Pensoft Publishers 2019-03-13 /pmc/articles/PMC6426826/ /pubmed/30918448 http://dx.doi.org/10.3897/BDJ.7.e33303 Text en Brian J. Stucky, James P. Balhoff, Narayani Barve, Vijay Barve, Laura Brenskelle, Matthew H. Brush, Gregory A Dahlem, James D. J. Gilbert, Akito Y. Kawahara, Oliver Keller, Andrea Lucky, Peter J. Mayhew, David Plotkin, Katja C. Seltmann, Elijah Talamas, Gaurav Vaidya, Ramona Walls, Matt Yoder, Guanyang Zhang, Rob Guralnick http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Short Communications
Stucky, Brian J.
Balhoff, James P.
Barve, Narayani
Barve, Vijay
Brenskelle, Laura
Brush, Matthew H.
Dahlem, Gregory A
Gilbert, James D. J.
Kawahara, Akito Y.
Keller, Oliver
Lucky, Andrea
Mayhew, Peter J.
Plotkin, David
Seltmann, Katja C.
Talamas, Elijah
Vaidya, Gaurav
Walls, Ramona
Yoder, Matt
Zhang, Guanyang
Guralnick, Rob
Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title_full Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title_fullStr Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title_full_unstemmed Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title_short Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
title_sort developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions
topic Short Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426826/
https://www.ncbi.nlm.nih.gov/pubmed/30918448
http://dx.doi.org/10.3897/BDJ.7.e33303
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