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A Guide to Data and Technology in Agriculture

This will provide resources for research on current efforts to address data and technology in agriculture. Each page will provide research journals, books, websites, datasets, and other resources specific to these topics.

Overview

Findable: ​

  • Metadata and data should be easy to find for both humans and computers​

  • F1. (Meta)data are assigned a globally unique and persistent identifier​

  • F2. Data are described with rich metadata​

  • F3. Metadata clearly and explicitly include the identifier of the data they describe​

  • F4. (Meta)data are registered or indexed in a searchable resource

Accessible

  • Once the user finds the required data, she/he needs to know how can they be accessed, possibly including authentication and authorization.​

  • A1. (Meta)data are retrievable by their identifier using a standardized communications protocol​

  • A1.1 The protocol is open, free, and universally implementable​

  • A1.2 The protocol allows for an authentication and authorization procedure, where necessary​

  • A2. Metadata are accessible, even when the data are no longer available​

Interoperable

  • The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.​

  • I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.​

  • I2. (Meta)data use vocabularies that follow FAIR principles​

  • I3. (Meta)data include qualified references to other (meta)data​

Reusable

  • The ultimate goal of FAIR is to optimize the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.​

  • R1. (Meta)data are richly described with a plurality of accurate and relevant attributes​

  • R1.1. (Meta)data are released with a clear and accessible data usage license​

  • R1.2. (Meta)data are associated with detailed provenance​

  • R1.3. (Meta)data meet domain-relevant community standards​

 

Other Guides

Other Resources

CPA Role in FAIR Compliance

CPA's Role in FAIR Compliance

Findable

  • Uploads anonymized data to Dataverse
  • Adds contextual metadata
  • Assigns DOI 

Accessible

  • Downloadable data
  • Sustainable repository
  • Persistent identifier

Interoperable

  • Data repository interoperable
  • Standard metadata schema 
  • Controlled vocabulary
  • Data annotation

Reusable 

  • Data license
  • Codebook documentation
  • Data Citation

IFPRI is a CGIAR Research Center