BIDDSAT

BIDDSAT is a software tool that has been created to help biodiversity data institutions, and their potential users assess datasets as a whole. The tool is designed to provide selected diagnostic visualizations on the content of data publishers and/or their individual collections. This means that BIDDSAT serves as a bridge between publishers and users, enabling them to identify and correct issues with their data.

One of the critical features of BIDDSAT is that it provides a global assessment of datasets, which is a crucial aspect of any data quality workflow. This is because data publishers must become aware of issues in their data so that they can be corrected. User feedback mechanisms provide one avenue for identifying these issues, but global assessments of datasets provide another. BIDDSAT fills this gap by allowing both publishers and users to assess datasets as a whole, making it a valuable tool for anyone working with biodiversity data.

BIDDSAT is an online tool that can be accessed from anywhere, making it a convenient option for users around the world. The application is supported by all major browsers, ensuring that it can be used on any device.

Topic

Biodiversity;Data visualisation;Data management

Detail

  • Operation: Data handling

  • Software interface: Command-line user interface

  • Language: PHP;Javascript

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: -

  • Credit: The ‘Friends of the University of Navarra’ Association.

  • Input: -

  • Output: -

  • Contact: Javier Otegui javier.otegui@gmail.com

  • Collection: -

  • Maturity: -

Publications

  • BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network.
  • Otegui J and Ariño AH. BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network. BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network. 2012; 28:2207-8. doi: 10.1093/bioinformatics/bts359
  • https://doi.org/10.1093/bioinformatics/bts359
  • PMID: 22730433
  • PMC: -

Download and documentation


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