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Five task clusters that enable efficient and effective digitization of biological collections.

Gil Nelson1, Deborah Paul, Gregory Riccardi

  • 1Institute for Digital Information, Florida State University, Tallahassee, FL 32306-2100, United States.

Zookeys
|August 4, 2012
PubMed
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Digitizing biological specimens involves five key task clusters, from curation to georeferencing. These findings inform efficient practices for biological collections digitization programs.

Area of Science:

  • Biodiversity Informatics
  • Museum Science
  • Data Curation

Background:

  • Biological collections digitization is crucial for data accessibility and research.
  • Existing digitization processes vary significantly across institutions.
  • Standardized frameworks are needed to assess and improve efficiency.

Purpose of the Study:

  • To identify and describe common task clusters in biological specimen digitization.
  • To document and assess current digitization practices and tools.
  • To provide workflow recommendations for digitization programs.

Main Methods:

  • Observation of diverse digitization processes at biological and paleontological collections.
  • Documentation of practices and tools used in active digitization programs.
Keywords:
ADBCBiological specimen collectionsbiodiversity informaticscurationdigitizationiDigBioimagingpaleontological specimen collectionstask clusterworkflow

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  • Analysis of observed tasks to identify major clusters and workflow patterns.

    • Main Results:

    • Identification of five major task clusters: pre-digitization curation, image capture, image processing, data capture, and georeferencing.
    • Observation of three dominant workflow patterns in the implementation of these task clusters.
    • A composite picture of digitization practices across various observed programs.

    Conclusions:

    • The five identified task clusters represent a comprehensive model for biological specimen digitization.
    • Understanding workflow patterns is key to optimizing digitization processes.
    • Recommendations are provided to enhance efficiency and effectiveness in digitization programs.