https://github.com/agrdatasci/tricot-protocols

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: AgrDataSci
License: cc-by-4.0
Language: R
Default Branch: main
Size: 78.1 KB

Statistics

Stars: 0
Watchers: 0
Forks: 0
Open Issues: 1
Releases: 0

Created 7 months ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

Standard operating procedures for citizen science experiments using the tricot approach

Almendra Cremaschi, Marie-Angélique Laporte, Kauê de Sousa

Tricot Protocols

This repository provides standard operating procedures (SOPs), survey tools, and trait metadata for implementing tricot (Triadic Comparison of Technologies) on-farm trials. It is designed to support data collection, analysis, and reuse in a FAIR (Findable, Accessible, Interoperable, Reusable) and multilingual way.

The repository uses a project-oriented structure, allowing for efficient management of core methods shared across crops while maintaining crop-specific protocols and translations.

What is tricot?

Tricot is a participatory research approach where farmers test and compare three crop varieties (or technologies) on their own farms. It supports decentralized experimentation and citizen science while generating valuable data for breeding programs and food system actors. More at https://climmob.net

Repository structure

The project follows a project-oriented layout inspired by best practices in the R community.

text tricot-onfarm-sop/ ├── README.md ├── LICENSE ├── core/ │ ├── methodology.md │ ├── core_traits.csv │ └── metadata/crop-ontology-links.md ├── crops/ │ ├── amaranth/ │ │ ├── en/leafy_amaranth_sop.md │ │ ├── fr/leafy_amaranth_sop.md │ │ └── pt/leafy_amaranth_sop.md │ ├── cassava/ │ │ └── ... │ ├── cowpea/ │ │ └── ...

Contribute

This template is open for improvement! You can: - Suggest edits via GitHub Issues - Fork the repository for your own project - Contribute back improvements via pull request

References

Owner

Name: AgrDataSci
Login: AgrDataSci
Kind: organization
Email: k.desousa@cgiar.org
Location: France

Repositories: 8
Profile: https://github.com/AgrDataSci

We develop methods and tools to support sustainable food systems, rural development and digital inclusion

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this dataset or software, please cite it as below."
title: "Standard operating procedures for citizen science experiments using the tricot approach"
version: "v1.2"
date-released: 2025-06-09
authors:
  - family-names: Cremaschi
    given-names: Almendra
    orcid: https://orcid.org/0000-0001-8932-5626
    affiliation: "Bioversity International"
  - family-names: Laporte
    given-names: Marie-Angélique
    orcid: https://orcid.org/0000-0002-8461-9745
    affiliation: "Bioversity International"
  - family-names: de Sousa
    given-names: Kauê
    orcid: https://orcid.org/0000-0002-7571-7845
    affiliation: "Bioversity International; University of Inland Norway"
repository-code: https://github.com/AgrDataSci/tricot-protocols
license: CC-BY-4.0
keywords:
  - participatory research
  - tricot
  - open science
  - on-farm trials
  - FAIR principles
  - crop evaluation
  - citizen science
  - data workflows

GitHub Events

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Push event: 5

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Last synced: 6 months ago

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Total pull requests: 0
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Average comments per issue: 0.0
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Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 0
Average time to close issues: N/A
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Issue authors: 1
Pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

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