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Ostracods in databases: State of the art, mobilization and future applications

Huai-Hsuan M. Huang*, Moriaki Yasuhara*, David J. Horne, Vincent Perrier, Alison J. Smith, Simone N. Brandão

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Biodiversity databases are changing the longevity of data in the era of open science. They also represent a collaboration opportunity in analyzing large-scale (paleo)biological patterns beyond a local project or a time scale. Ostracods, microscopic crustaceans, are a component in many biodiversity databases. They live in most kinds of aquatic environments today and their fossil record spans nearly the whole of the Earth's metazoan biosphere history from Ordovician to Holocene. Thus, ostracods provide an ideal model system for understanding large-scale biodiversity patterns and dynamics in both space and time. Thanks to many contributors, current and future ostracodologists have access to databases that have gone through numerous improvements and have been populated by many datasets. However, rapid growth of databases has caused confusion among users regarding available data, technical terms and database aims. We review key databases that include ostracods, summarizing their history of development, current spatial and temporal coverage, various types of data models and the intertwined relationships between databases. We also present a quantitative summary of ostracod diversity history based on the Paleobiology Database. Our investigations show that the database field is transitioning from the traditional single focus to multipurpose, from static to dynamic data display/download and from independent systems to collaborative networks. We compare the ways several databases approach persistent challenges such as taxonomic harmonization, validation of the original sampling metadata and paleolocality uncertainties. With increasing capability of data integration, databases continue to require enormous efforts regarding high-quality data entry and careful coordination among scientists and technical teams. © 2022 Elsevier B.V.
Original languageEnglish
Article number102094
JournalMarine Micropaleontology
Volume174
Online published23 Jan 2022
DOIs
Publication statusPublished - Jun 2022
Externally publishedYes

Funding

We would like to thank Robin J. Smith for the data of the East Asian Non-marine Ostracod Database; Renate Matzke-Karasz for the updated information on Kempf Database Ostracoda; Laura Gemery and Thomas Cronin for the updated information on Arctic Ostracode Database; two anonymous reviewers and two editors, Richard Jordan and Gene Hunt, for valuable comments. The NODE database was supported by Human Capital & Mobility Programme, European Union funding [grant number ERBCHRXCT930253 ]; Marie Curie Research and Training Network , European Union funding [grant number FP6-512492 ]; Contingency Fund award, European Union funding. NANODe and AJS were supported by the U. S. Geological Survey; Kent State University; National Science Foundation. AJS's work in Neotoma database was supported by National Science Foundation [grant numbers 0947459 , 1550721 , 1948297 ]; NSF EarthCube program [grant number 1540994 ]. HHMH and MY are partly supported by Research Grants Council , Hong Kong Special Administrative Region, China [grant numbers HKU 17300821, HKU 17300720 , HKU 17302518 , HKU 17311316 ]; the Seed Funding Programme for Basic Research , the University of Hong Kong [grant numbers 202011159122, 201811159076 , 201711159057 , 201611159053 ]; Faculty of Science RAE Improvement Fund , the University of Hong Kong; SKLMP Seed Collaborative Research Fund (grant number SKLMP/SCRF/0031), City University of Hong Kong; Seed Funding of the HKU-TCL Joint Research Centre for Artificial Intelligence . HHMH was supported by Ecology and Biodiversity Division Fund , the University of Hong Kong ; Peter Buck Postdoc Fellowship, Smithsonian Institution . SNB's work on the World Ostracoda Database was/is funded by a Lifewatch Mini Grant and UESC [Projeto Biodiversidade de Ostracoda Marinho do Sul da Bahia].

Research Keywords

  • Biodiversity informatics
  • Biogeography
  • Collaboration tool
  • Macroecology
  • Open science

RGC Funding Information

  • RGC-funded

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