Literature DB >> 22956055

Towards "a natural history of data": evolving practices and epistemologies of data in paleontology, 1800-2000.

David Sepkoski1.   

Abstract

The fossil record is paleontology's great resource, telling us virtually everything we know about the past history of life. This record, which has been accumulating since the beginning of paleontology as a professional discipline in the early nineteenth century, is a collection of objects. The fossil record exists literally, in the specimen drawers where fossils are kept, and figuratively, in the illustrations and records of fossils compiled in paleontological atlases and compendia. However, as has become increasingly clear since the later twentieth century, the fossil record is also a record of data. Paleontologists now routinely abstract information from the physical fossil record to construct databases that serve as the basis for quantitative analysis of patterns in the history of life. What is the significance of this distinction? While it is often assumed that the orientation towards treating the fossil record as a record of data is an innovation of the computer age, it turns out that nineteenth century paleontology was substantially "data driven." This paper traces the evolution of data practices and analyses in paleontology, primarily through examination of the compendia in which the fossil record has been recorded over the past 200 years. I argue that the transition towards conceptualizing the fossil record as a record of data began long before the emergence of the technologies associated with modern databases (such as digital computers and modern statistical methods). I will also argue that this history reveals how new forms of visual representation were associated with the transition from seeing the fossil record as a record of objects to one of data or information, which allowed paleontologists to make new visual arguments about their data. While these practices and techniques have become increasingly sophisticated in recent decades, I will show that their basic methodology was in place over a century ago, and that, in a sense, paleontology has always been a "data driven" science.

Year:  2013        PMID: 22956055     DOI: 10.1007/s10739-012-9336-6

Source DB:  PubMed          Journal:  J Hist Biol        ISSN: 0022-5010            Impact factor:   1.326


  9 in total

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

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

2.  The many books of nature: Renaissance naturalists and information overload.

Authors:  Brian W Ogilvie
Journal:  J Hist Ideas       Date:  2003-01

3.  Data-driven sciences: From wonder cabinets to electronic databases.

Authors:  Bruno J Strasser
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2011-11-01

4.  Introduction: Making sense of data-driven research in the biological and biomedical sciences.

Authors:  S Leonelli
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2011-11-02

5.  H. G. Bronn and the history of nature.

Authors:  Sander Gliboff
Journal:  J Hist Biol       Date:  2007       Impact factor: 1.326

6.  The experimenter's museum: GenBank, natural history, and the moral economies of biomedicine.

Authors:  Bruno J Strasser
Journal:  Isis       Date:  2011-03       Impact factor: 0.688

7.  Edward Hitchcock's pre-Darwinian (1840) "tree of life".

Authors:  J David Archibald
Journal:  J Hist Biol       Date:  2009       Impact factor: 1.326

8.  Periodicity of extinctions in the geologic past.

Authors:  D M Raup; J J Sepkoski
Journal:  Proc Natl Acad Sci U S A       Date:  1984-02       Impact factor: 11.205

9.  Natural history and information overload: The case of Linnaeus.

Authors:  Staffan Müller-Wille; Isabelle Charmantier
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2011-11-21
  9 in total
  3 in total

1.  [The Roots of Idiographic Paleontology: Karl Alfred von Zittel's Methodology and Conception of the Fossil Record].

Authors:  Marco Tamborini
Journal:  NTM       Date:  2015-12

2.  Paleontology and Darwin's Theory of Evolution: The Subversive Role of Statistics at the End of the 19th Century.

Authors:  Marco Tamborini
Journal:  J Hist Biol       Date:  2015-11       Impact factor: 1.326

3.  Text-mined fossil biodiversity dynamics using machine learning.

Authors:  Bjørn Tore Kopperud; Scott Lidgard; Lee Hsiang Liow
Journal:  Proc Biol Sci       Date:  2019-04-24       Impact factor: 5.349

  3 in total

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