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.