Literature DB >> 30185609

Quantifying the dark data in museum fossil collections as palaeontology undergoes a second digital revolution.

C R Marshall1,2, S Finnegan3,2, E C Clites2, P A Holroyd2, N Bonuso4, C Cortez5, E Davis6,7, G P Dietl8,9, P S Druckenmiller10, R C Eng11, C Garcia12, K Estes-Smargiassi13, A Hendy13, K A Hollis14, H Little14, E A Nesbitt11, P Roopnarine12, L Skibinski8, J Vendetti13, L D White2.   

Abstract

Large-scale analysis of the fossil record requires aggregation of palaeontological data from individual fossil localities. Prior to computers, these synoptic datasets were compiled by hand, a laborious undertaking that took years of effort and forced palaeontologists to make difficult choices about what types of data to tabulate. The advent of desktop computers ushered in palaeontology's first digital revolution-online literature-based databases, such as the Paleobiology Database (PBDB). However, the published literature represents only a small proportion of the palaeontological data housed in museum collections. Although this issue has long been appreciated, the magnitude, and thus potential significance, of these so-called 'dark data' has been difficult to determine. Here, in the early phases of a second digital revolution in palaeontology--the digitization of museum collections-we provide an estimate of the magnitude of palaeontology's dark data. Digitization of our nine institutions' holdings of Cenozoic marine invertebrate collections from California, Oregon and Washington in the USA reveals that they represent 23 times the number of unique localities than are currently available in the PBDB. These data, and the vast quantity of similarly untapped dark data in other museum collections, will, when digitally mobilized, enhance palaeontologists' ability to make inferences about the patterns and processes of past evolutionary and ecological changes.
© 2018 The Author(s).

Keywords:  dark data; digitization; iDigBio; museum collections

Mesh:

Year:  2018        PMID: 30185609      PMCID: PMC6170754          DOI: 10.1098/rsbl.2018.0431

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  4 in total

1.  A compendium of fossil marine animal families, 2nd edition.

Authors:  J J Sepkoski
Journal:  Contrib Biol Geol       Date:  1992-03-01

Review 2.  Merging paleobiology with conservation biology to guide the future of terrestrial ecosystems.

Authors:  Anthony D Barnosky; Elizabeth A Hadly; Patrick Gonzalez; Jason Head; P David Polly; A Michelle Lawing; Jussi T Eronen; David D Ackerly; Ken Alex; Eric Biber; Jessica Blois; Justin Brashares; Gerardo Ceballos; Edward Davis; Gregory P Dietl; Rodolfo Dirzo; Holly Doremus; Mikael Fortelius; Harry W Greene; Jessica Hellmann; Thomas Hickler; Stephen T Jackson; Melissa Kemp; Paul L Koch; Claire Kremen; Emily L Lindsey; Cindy Looy; Charles R Marshall; Chase Mendenhall; Andreas Mulch; Alexis M Mychajliw; Carsten Nowak; Uma Ramakrishnan; Jan Schnitzler; Kashish Das Shrestha; Katherine Solari; Lynn Stegner; M Allison Stegner; Nils Chr Stenseth; Marvalee H Wake; Zhibin Zhang
Journal:  Science       Date:  2017-02-10       Impact factor: 47.728

3.  Quantifying the dark data in museum fossil collections as palaeontology undergoes a second digital revolution.

Authors:  C R Marshall; S Finnegan; E C Clites; P A Holroyd; N Bonuso; C Cortez; E Davis; G P Dietl; P S Druckenmiller; R C Eng; C Garcia; K Estes-Smargiassi; A Hendy; K A Hollis; H Little; E A Nesbitt; P Roopnarine; L Skibinski; J Vendetti; L D White
Journal:  Biol Lett       Date:  2018-09       Impact factor: 3.703

4.  Museum drawers go digital.

Authors:  Nala Rogers
Journal:  Science       Date:  2016-05-13       Impact factor: 47.728

  4 in total
  4 in total

1.  Quantifying the dark data in museum fossil collections as palaeontology undergoes a second digital revolution.

Authors:  C R Marshall; S Finnegan; E C Clites; P A Holroyd; N Bonuso; C Cortez; E Davis; G P Dietl; P S Druckenmiller; R C Eng; C Garcia; K Estes-Smargiassi; A Hendy; K A Hollis; H Little; E A Nesbitt; P Roopnarine; L Skibinski; J Vendetti; L D White
Journal:  Biol Lett       Date:  2018-09       Impact factor: 3.703

2.  Patterns in research and data sharing for the study of form and function in caviomorph rodents.

Authors:  Luis D Verde Arregoitia; Pablo Teta; Guillermo D'Elía
Journal:  J Mammal       Date:  2020-02-15       Impact factor: 2.416

3.  Biodiversity Science and the Twenty-First Century Workforce.

Authors:  Elizabeth R Ellwood; Jocelyn Anne Sessa; Joel K Abraham; Amber E Budden; Natalie Douglas; Robert Guralnick; Erica Krimmel; Tom Langen; Debra Linton; Molly Phillips; Pamela S Soltis; Marie Studer; Lisa D White; Jason Williams; Anna K Monfils
Journal:  Bioscience       Date:  2019-12-18       Impact factor: 8.589

Review 4.  Using the Fossil Record to Evaluate Timetree Timescales.

Authors:  Charles R Marshall
Journal:  Front Genet       Date:  2019-11-12       Impact factor: 4.599

  4 in total

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