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Related Concept Videos

Self Within Cultural Contexts01:30

Self Within Cultural Contexts

Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
Structuralism01:26

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Revisionist Views of Adolescent and Adult Cognition01:24

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Cognitivism01:17

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Related Experiment Videos

A MOD(ern) perspective on literature curation.

Jodi Hirschman1, Tanya Z Berardini, Harold J Drabkin

  • 1Saccharomyces Genome Database, Department of Genetics, Stanford University, Stanford, CA 94305, USA. jodi@genome.stanford.edu

Molecular Genetics and Genomics : MGG
|March 12, 2010
PubMed
Summary
This summary is machine-generated.

Model organism databases (MODs) curate biological data from research publications. This process involves selecting papers and prioritizing information to build comprehensive knowledge resources for the scientific community.

Related Experiment Videos

Area of Science:

  • Bioinformatics
  • Genomics
  • Scientific data management

Background:

  • Biological data curation is essential for creating structured, accurate knowledge resources.
  • Model organism databases (MODs) rely heavily on research publications as a primary data source.
  • Effective curation facilitates scientific discovery by connecting data and stimulating new research.

Purpose of the Study:

  • To describe the literature curation process in four different MODs.
  • To highlight approaches for paper selection and data prioritization within MODs.
  • To identify challenges faced by biocurators and suggest support mechanisms.

Main Methods:

  • Review of literature curation workflows across four distinct Model Organism Databases (MODs).
  • Analysis of decision-making processes for selecting relevant research publications.
  • Examination of strategies for identifying and prioritizing experimental data within curated literature.

Main Results:

  • MODs employ specific criteria for selecting candidate research papers for curation.
  • Distinct methods are used for identifying and prioritizing the extraction of biological information.
  • Biocurators face challenges in managing the volume and complexity of scientific literature.

Conclusions:

  • Standardized yet adaptable approaches to literature curation are crucial for MODs.
  • Collaboration between researchers, publishers, and biocurators can enhance data quality and accessibility.
  • Supporting biocurators is vital for advancing biological knowledge and research.