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

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

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https://github.com/AgrDataSci/tricot-data/blob/main/

[![License](https://img.shields.io/badge/license%20-%20CC%20BY%20SA%204.0%20-%20%233182bd)](https://creativecommons.org/licenses/by-sa/4.0/) 
 

# Global multi-crop agricultural trial data supported by citizen science

The [triadic comparison of technologies (tricot)](https://doi.org/10.1007/s13593-023-00937-1) is a citizen science approach for testing technology options in their target environments, which has been applied to on-farm testing of crop varieties. Triadic refers to the sets of three technology options that are compared by each participant. In the approach, participants are invited to test a anonymous set of three technologies (out of a larger number, generally between 5 to 20) randomly assigned. Between 2011 and 2025 the tricot approach was applied in more than 25 countries across Africa, Asia, Europe and Latin America with more than 30 crops.

---

## Crops and sites currently covered by the dataset

The map below shows the crops and trial sites that are currently available for public use. Each point represents a trial location, and the legend indicates the crop(s) associated with those sites. This visualization helps to quickly identify the regions and crops that are currently represented in the dataset.


![Trial map](docs/trial-locations.png)

## Data structure

The dataset follows a structured format designed to ensure consistency and interoperability across trials. It is organized into four main components: **metadata**, **block data**, **plot data**, and **rank analysis**.  

- **Metadata**: Provides detailed contextual information about each trial, including identifiers, objectives, location, time frame, crops, genotypes, variables, and contributors. This ensures that each dataset is fully documented and reusable under the terms of the CC BY-SA 4.0 license.  
- **Block data**: Contains information at the block level (e.g., farmer or experimental unit), including geolocation, planting dates, and farmer demographics.  
- **Plot data**: Stores trial-level measurements for each genotype and trait, with flexible support for different data types (rank, numeric, text, date).  
- **Rank analysis**: Includes the results of statistical analyses performed on ranked data, providing estimates, standard errors, and variance components.  

The hierarchical organization allows users to track data from trial design through analysis while maintaining links between metadata, blocks, and plots.  

``` text
 metadata
    changelog
       version
       notes
       software
          package
          package version
    identifier (doi)
    license
    publication year
    study
       id
       country (ISO2)
       title
       description
       type
       unit of analysis
       objective
       experimental site
    date
       start (YYYY-MM-DD)
       end (YYYY-MM-DD)
    geo location
       bounding box
          xmin (0.00)
          xmax (0.00)
          ymin (0.00)
          ymax (0.00)
    data producer 
       name
       identifier (ROR id)
       principal investigator
       email
       program (ADCIN, RTB, BOLDER)
    crop 
       name
       taxon
    participants
       total 
       men
       women
    genotypes
       genotype name
       role
       year release
       market segment
       country of origin
       remarks
    variables
       variable name
       description
       ontology id
       value type
       unit
       controlled vocabulary
 block data
    block id
    longitude
    latitude
    planting date
    gender
    age
    ...
    any other data
 plot data
    block id
    genotype name
    trait
    collection moment 
    value
    value type (rank, numeric, text, date)
 rank analysis
    collection moment
    trait
    genotype name
    estimate
    se
    casi se
    casi var
```

## Citation

The dataset is archived and made publicly available through [Zenodo](https://zenodo.org/).  

Users of this dataset are required to provide proper citation in any publications, presentations, or derivative works.

> The dataset is shared under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/) which allows others to use, share, and adapt the material, provided appropriate credit is given and any derivative works are distributed under the same license.

de Sousa, K., Laporte, M.-A., Abdulmalik, R. O., Abidin, E., Abolore, B., Achigan-Dako, E. G., Aglinglo, L. A., Aguilar, A., Angudubo, S., Arnaud, E., Assefa, T. M., Atieno, E., Ayenan, M., Barrios, M., Borman, G., Boukar, O., Brown, D., Carey, E., Chaves, N., Coulibaly, H., Cremaschi, A., Daudi, H., Dawud, M., Diarra, D. Y., Dolo, A., Edughaen, G., Gandhi, H., Gaya Mohammed, S., Gebrehawaryat Kidane, Y., Gomez Cerna, M., Gupta, A., Hernndez, J. C., Houdegbe, A. C., Hugo Dorado-Betancourt, H., Iragaba, P., Kadege, E., Kalemera, S., Kasubiri, F., Kawuki, R., Lakew, B., Legba, E. C., Madriz, B., Madu, T. U., Malulu, D., Manners, R., Matumbo, Z., Mendes, T., Mengistu, D. K., Mlaki, A., Moyo, M., Mugo, J., NDanikou, S., Nabateregga, M., Nadigatla, G. R. V. P., Nanyonjo, A. R., Nduwumuremyi, A., Nshimiyimana, J. C., Nyawade, S., Nyirahabimana, H., Ojiewo, C. O., Olaosebikan, O., Ongom, P. O., Onwuka, S., Ouedraogo, C. O., Rosas, J. C., Rutsaert, P., Schaap, M., Shango, A., Sharma, N., Sharma, K., Sidibe, A., Solberg, S. ., Ssali, R., Steinke, J., Suchini, J. G., Teeken, B., Tufan, H. A., Tuyishime, E., Ulzen, J., van Heerwaarden, J., van Zonneveld, M., & van Etten, J. (2025). **Global multi-crop agricultural trial data supported by citizen science** (Version 1) [Dataset]. Zenodo. DOI: _to be provided upon release_.


### BibTeX (dataset)

```@dataset{desousa_2025_global_multicrop_tricot,
  title        = {Global multi-crop agricultural trial data supported by citizen science},
  author       = {de Sousa, Kau\ and Laporte, Marie-Ang\'elique and Abdulmalik, Rekiya O. and Abidin, Erna and Abolore, Bello and Achigan-Dako, Enoch G. and Aglinglo, Lys Amavi and Aguilar, Amilcar and Angudubo, Stephen and Arnaud, Elizabeth and Assefa, Teshale M. and Atieno, Elly and Ayenan, Mathieu and Barrios, Mirna and Borman, Gareth and Boukar, Ousmane and Brown, David and Carey, Edward and Chaves, N\'estor and Coulibaly, Harouna and Cremaschi, Almendra and Daudi, Happy and Dawud, Maryam and Diarra, Danfing dit Youssouf and Dolo, Aminata and Edughaen, Gospel and Gandhi, Harish and Gaya Mohammed, Sanusi and Gebrehawaryat Kidane, Yosef and Gomez Cerna, Marvin and Gupta, Arnab and Hern\'andez, Juan Carlos and Houdegbe, Aristide Carlos and Hugo Dorado-Betancourt, Hugo and Iragaba, Paula and Kadege, Edith and Kalemera, Sylvia and Kasubiri, Fadhili and Kawuki, Robert and Lakew, Basazen and Legba, Eric C. and Madriz, Brandon and Madu, Tessy Ugo and Malulu, Dickson and Manners, Rhys and Matumbo, Zamira and Mendes, Thiago and Mengistu, Dejene K. and Mlaki, Anna and Moyo, Mukani and Mugo, James and N'Danikou, Sognigb\'e and Nabateregga, Mabel and Nadigatla, Ganga Rao V. P. R. and Nanyonjo, An Ritah and Nduwumuremyi, Athanase and Nshimiyimana, Jean Claude and Nyawade, Shadrack and Nyirahabimana, Hyacinthe and Ojiewo, Christopher Ochieng and Olaosebikan, Olamide and Ongom, Patrick Obia and Onwuka, Samuel and Ouedraogo, Colette Ouidyam and Rosas, Juan Carlos and Rutsaert, Pieter and Schaap, Mirjam and Shango, Abdul and Sharma, Neeraj and Sharma, Kalpana and Sidibe, Amadou and Solberg, Svein {\O}ivind and Ssali, Reuben and Steinke, Jonathan and Suchini, Jose Gabriel and Teeken, B\'ela and Tufan, Hale Ann and Tuyishime, Elys\'e and Ulzen, Jacob and van Heerwaarden, Joost and van Zonneveld, Maarten and van Etten, Jacob},
  year         = {2025},
  publisher    = {Zenodo},
  version      = {v1},
  type         = {dataset},
  rights       = {Creative Commons Attribution 4.0 International},
  rights_url   = {https://creativecommons.org/licenses/by-sa/4.0/},
  doi          = {10.5281/zenodo.XXXXX},
  url          = {https://doi.org/10.5281/zenodo.XXXXX}
}

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