Digital Extended Specimens: Enabling an Extensible Network of Biodiversity Data Records as Integrated Digital Objects on the Internet.

Autor: Hardisty AR; Cardiff University, Cardiff, Wales, United Kingdom., Ellwood ER; Florida Museum of Natural History, Gainesville, Florida, United States., Nelson G; Florida Museum of Natural History, Gainesville, Florida, United States., Zimkus B; Museum of Comparative Zoology, Cambridge, Massachusetts, United States., Buschbom J; Statistical Genetics, Ahrensburg, Germany., Addink W; Naturalis Biodiversity Center, Leiden, Netherlands., Rabeler RK; University of Michigan Herbarium, Ann Arbor, Michigan, United States., Bates J; Field Museum of Natural History, Chicago, Illinois, United States., Bentley A; Biodiversity Institute, University of Kansas, Lawrence, Kansas, United States., Fortes JAB; University of Florida, Gainesville, Florida, United States., Hansen S; Central Michigan University Herbarium, Central Michigan University, Mt. Pleasant, Michigan, United States., Macklin JA; Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada., Mast AR; Department of Biological Science, Florida State University, Tallahassee, Florida, United States., Miller JT; Global Biodiversity Information Facility Secretariat, Copenhagen, Denmark., Monfils AK; Central Michigan University Herbarium, Central Michigan University, Mt. Pleasant, Michigan, United States., Paul DL; University of Illinois Urbana Champaign, Champaign, Illinois, United States., Wallis E; Atlas of Living Australia, CSIRO, Melbourne, Australia., Webster M; Macaulay Library, Cornell Lab of Ornithology, Ithaca, New York, United States.
Jazyk: angličtina
Zdroj: Bioscience [Bioscience] 2022 Aug 03; Vol. 72 (10), pp. 978-987. Date of Electronic Publication: 2022 Aug 03 (Print Publication: 2022).
DOI: 10.1093/biosci/biac060
Abstrakt: The early twenty-first century has witnessed massive expansions in availability and accessibility of digital data in virtually all domains of the biodiversity sciences. Led by an array of asynchronous digitization activities spanning ecological, environmental, climatological, and biological collections data, these initiatives have resulted in a plethora of mostly disconnected and siloed data, leaving to researchers the tedious and time-consuming manual task of finding and connecting them in usable ways, integrating them into coherent data sets, and making them interoperable. The focus to date has been on elevating analog and physical records to digital replicas in local databases prior to elevating them to ever-growing aggregations of essentially disconnected discipline-specific information. In the present article, we propose a new interconnected network of digital objects on the Internet-the Digital Extended Specimen (DES) network-that transcends existing aggregator technology, augments the DES with third-party data through machine algorithms, and provides a platform for more efficient research and robust interdisciplinary discovery.
(© The Author(s) 2022. Published by Oxford University Press on behalf of the American Institute of Biological Sciences.)
Databáze: MEDLINE
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