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  • Introduction
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    • Protocols
      • Controlled Environment Protocols
      • Manual Field Data Protocols
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      • Sensor Calibration
      • Template Protocol
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    • Experimental Design
      • Experimental Design Danforth
        • Sorghum Lines Danforth
      • Experimental Design Genomics
        • Sorghum Lines Genomics Year 1
        • Sorghum Lines Genomics Year 1 (continued)
        • Sorghum Lines Genomics Year 2
      • Experimental Design MAC
  • User Manual
    • What Data is Available
    • Data Products
      • Environmental conditions
      • Fluorescence intensity imaging
      • Genomics data
      • Geospatial information
      • Hyperspectral imaging data
      • Infrared heat imaging data
      • Multispectral imaging data
      • Meteorological data
      • Controlled Environment phenotype data
      • Point Cloud Data
    • How to Access Data
      • Using Clowder (Sensor and Genoomics data)
      • Using Globus (Sensor and Genomics data)
      • Using BETYdb (trait data, experimental metadata)
        • Accessing BETYdb via ArcMap and other GIS software
      • Using CoGe (Genomics)
      • Using CyVerse (Genomics)
      • Using Analysis Workbench (all data)
    • Data Use Policy
    • Manuscripts and Authorship Guidelines
    • Release / reprocessing schedule
  • Technical Documentation
    • Data Standards
      • Existing Data Standards
      • Agronomic and Phenotype Data Standards
      • Genomic Data Standards
      • Sensor Data Standards
      • Data Standards Committee
    • Directory Structure
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  • Developer Manual
    • Submitting data to Clowder
    • Submitting data to BETYdb
    • Submitting Data to CoGe
    • Developing Clowder Extractors
  • Tutorials
  • Appendix
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  1. Technical Documentation

Data Standards

PreviousTechnical DocumentationNextExisting Data Standards

Last updated 5 years ago

Overview

TERRA’s data standards facilitate the exchange of genomic and phenomic data across teams and external researchers. Applying common standards makes it easier to exchange analytical methods and data across domains and to leverage existing tools.

When practical, existing conventions and standards have been used to create data standards. Spatial data adopts Federal Geographic Data Committee (FGDC) and Open Geospatial Consortium (OGC) data and meta-data standards. CF variable naming convention was adopted for meteorological data and biophysical data. Data formats and variable naming conventions were adapted from NEON and NASA.

Feedback from data creators and users were used to define the types of data formats, semantics, and interfaces, file formats, and representations of space, time, and genetic identity based on existing standards, commonly used file formats, and user needs.

We anticipate that standards and data formats will evolve over time as we clarify use cases, develop new sensors and analytical pipelines, and build tools for data format conversion and feature extraction and tracking provenance. Each year we will re-convene to assess our standards based on user needs. The Standards Committee will assess the trade-off between the upfront cost of adoption with the long-term value of the data products, algorithms, and tools that will be developed as part of the TERRA program. The specifications for these data products will be developed iteratively over the course of the project in coordination with TERRA funded projects. The focus will be to take advantage of existing tools based on these standards, and to develop data translation interfaces where necessary.

See also

Agronomic and Phenotype Data Standards
Environmental Data Standards
Genomic Data Standards
Sensor Data Standards
Data Standards Committee