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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
Authors: Stucky, Brian; Balhoff, James; Barve, Narayani; Barve, Vijay; Brenskelle, Laura; Brush, Matthew; Dahlem, Gregory; Gilbert, James; Kawahara, Akito; Keller, Oliver; Lucky, Andrea; Mayhew, Peter; Plotkin, David; Seltmann, Katja; Talamas, Elijah; Vaidya, Gaurav; Walls, Ramona; Yoder, Matt; Zhang, Guanyang; Guralnick, Rob
Publisher Information: Pensoft Publishers
Publication Year: 2019
Collection: Zenodo
Subject Terms: insects; natural history; biodiversity informatics; ontology; data modeling
Description: 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.
Document Type: article in journal/newspaper
Language: unknown
Relation: https://zenodo.org/communities/biosyslit/; https://zenodo.org/records/2600600; oai:zenodo.org:2600600; https://doi.org/10.3897/BDJ.7.e33303
DOI: 10.3897/BDJ.7.e33303
Availability: https://doi.org/10.3897/BDJ.7.e33303; https://zenodo.org/records/2600600
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.35FF8E93
Database: BASE