DiversityDescriptions

DiversityDescriptions organizes structured descriptions of organisms, taxa, syntaxa and other biological entities using an item-descriptor-state model to represent categorical, quantitative, molecular sequence and free-text trait data for biodiversity and meta-omics applications.


Key Features:

  • Generic Database Model: A flexible database model for organizing descriptions of organisms, taxa, syntaxa and other entities relevant to diversity research.
  • Triple Structure Descriptions: Implements the item-descriptor-state triple for item characterization.
  • Support for Multiple Data Types: States support categorical states, quantitative values and measures, molecular sequence data, and free-form text.
  • Diverse Descriptors: Accommodates morphological, physiological, ecological, behavioral, survey parameters, molecular descriptors, lab workflow descriptors, and data content schemes.
  • Specialized Functions for Sample Data: Includes functions for handling sample data and measurement data obtained from ecological field sampling.
  • Integration with MOD-CO Schema: Aligns with the MOD-CO meta-omics schema, including its hierarchical organization describing collection samples, products, and data objects and representation in various formats for software implementation and standardization.

Scientific Applications:

  • R&D Laboratory Information Management Systems: Can serve as a backbone for R&D LIMS by organizing object trait descriptions and workflow-related data.
  • Electronic Laboratory Notebook functionality: Records descriptors and measurement data analogous to an electronic laboratory notebook.
  • Ecological and Environmental Research: Supports ecological studies and field-sampling projects by storing sample and measurement data and ecological descriptors.
  • Molecular Biology and Meta-omics: Represents molecular sequence data and aligns operational metadata with the MOD-CO schema for meta-omics workflows.
  • Biodiversity and Taxonomy Research: Enables structured descriptions of organisms, taxa and syntaxa for biodiversity and taxonomic analyses.

Methodology:

Represents item characterization using an item-descriptor-state triple within a flexible database model, supports categorical, quantitative, molecular sequence and free-text data types, and aligns with the hierarchical MOD-CO schema describing collection samples, products, and data objects.

Topics

Details

License:
GPL-2.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Windows
Programming Languages:
C#
Added:
6/12/2019
Last Updated:
8/24/2022

Operations

Publications

Rambold G, Yilmaz P, Harjes J, Klaster S, Sanz V, Link A, Glöckner FO, Triebel D. Meta-omics data and collection objects (MOD-CO): a conceptual schema and data model for processing sample data in meta-omics research. Database. 2019;2019. doi:10.1093/database/baz002. PMID:30715273. PMCID:PMC6354027.

Funding: - Federal Ministry of Education and Research: 01LI1501M - German Research Foundation: GL 553/5-2, GL 553/6-1, RA 731/16-1, TR 290/7-2, TR 290/8-1

Documentation

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