Literature DB >> 22326070

Re-thinking organisms: The impact of databases on model organism biology.

Sabina Leonelli1, Rachel A Ankeny.   

Abstract

Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. We conclude that the increasing reliance on community databases as vehicles to circulate data is having a major impact on how researchers conduct and communicate their research, which affects how they understand the biology of model organisms and its relation to the biology of other species.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22326070     DOI: 10.1016/j.shpsc.2011.10.003

Source DB:  PubMed          Journal:  Stud Hist Philos Biol Biomed Sci        ISSN: 1369-8486


  26 in total

1.  The Bermuda Triangle: The Pragmatics, Policies, and Principles for Data Sharing in the History of the Human Genome Project.

Authors:  Kathryn Maxson Jones; Rachel A Ankeny; Robert Cook-Deegan
Journal:  J Hist Biol       Date:  2018-12       Impact factor: 1.326

2.  Publication trends in model organism research.

Authors:  Michael R Dietrich; Rachel A Ankeny; Patrick M Chen
Journal:  Genetics       Date:  2014-11       Impact factor: 4.562

3.  Moving Past the Systematics Wars.

Authors:  Beckett Sterner; Scott Lidgard
Journal:  J Hist Biol       Date:  2018-03       Impact factor: 1.326

4.  [Big Data Revolution or Data Hubris? : On the Data Positivism of Molecular Biology].

Authors:  Gabriele Gramelsberger
Journal:  NTM       Date:  2017-12

5.  Sticks AND Carrots: Encouraging Open Science at its source.

Authors:  Sabina Leonelli; Daniel Spichtinger; Barbara Prainsack
Journal:  Geo       Date:  2015-06-30

6.  Data Interpretation in the Digital Age.

Authors:  Sabina Leonelli
Journal:  Perspect Sci       Date:  2014-09-12

7.  What Difference Does Quantity Make? On the Epistemology of Big Data in Biology.

Authors:  Sabina Leonelli
Journal:  Big Data Soc       Date:  2014-06-01

8.  Open biomedical pluralism: formalising knowledge about breast cancer phenotypes.

Authors:  Aleksandra Sojic; Oliver Kutz
Journal:  J Biomed Semantics       Date:  2012-09-21

Review 9.  Non-mammalian models in behavioral neuroscience: consequences for biological psychiatry.

Authors:  Caio Maximino; Rhayra Xavier do Carmo Silva; Suéllen de Nazaré Santos da Silva; Laís do Socorro Dos Santos Rodrigues; Hellen Barbosa; Tayana Silva de Carvalho; Luana Ketlen Dos Reis Leão; Monica Gomes Lima; Karen Renata Matos Oliveira; Anderson Manoel Herculano
Journal:  Front Behav Neurosci       Date:  2015-09-08       Impact factor: 3.558

10.  Automatically transforming pre- to post-composed phenotypes: EQ-lising HPO and MP.

Authors:  Anika Oellrich; Christoph Grabmüller; Dietrich Rebholz-Schuhmann
Journal:  J Biomed Semantics       Date:  2013-10-16
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