Carob

Create reproducible workflows that reshape primary agricultural research data from experiments and surveys into a standard format, and to aggregate individual data sets into larger collections that can be used in further research.
https://github.com/carob-data/carob

Category: Consumption
Sub Category: Agriculture and Nutrition

Last synced: about 3 hours ago
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Carob: standardizing agricultural research data

README.md

Carob

Carob creates reproducible workflows that standardize primary agricultural research data from experiments and surveys. Standardization includes the use of a common file format, variable names, units and accepted values according to the terminag standard. Standardized data sets are aggregated into larger collections that can be used in further research. We do this by writing an R script for each individual dataset. See the website for more information.

Carob is an open access Extract, Transform, and Load (ETL) framework supported by CGIAR to support predictive analytics (machine learning, artifical intelligence) and other types of data analysis.

Contributions are welcome from anyone, and they can be made via pull-requests. Feel free to improve these scripts, or provide new ones. See the instructions on how to write a Carob script described here. You can also raise an issues. A good place to discover new data sets is the Gardian website or our to-do list.

Get the data

Standardized data can be downloaded from carob-data.org (data with a CC license only), or with R package caramba.

You can also compile your own version by cloning this repo and running

remotes::install_github("carob-data/carobiner")
ff <- carobiner::make_carob(path)

where path is the folder of the cloned repo (e.g. "d:/github/carob")


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Last synced: 4 days ago

Total Commits: 3,151
Total Committers: 33
Avg Commits per committer: 95.485
Development Distribution Score (DDS): 0.434

Commits in past year: 840
Committers in past year: 11
Avg Commits per committer in past year: 76.364
Development Distribution Score (DDS) in past year: 0.486

Name Email Commits
rhijmans r****s@g****m 1782
cedric Ngakou c****u@a****g 465
egbendito e****o@g****m 225
Cliffoe08 b****8@g****m 145
unknown m****a@g****m 97
Shumi01 x****a@g****m 56
efyrouwa e****g@g****m 49
Henry Juarez h****o@g****m 49
mukami3juma r****8@g****m 42
Fredy f****e@e****w 39
asila m****a@g****m 29
smkuhlani s****a@g****m 27
illianakwenda-code i****a@g****m 21
primasunungure-arch p****e@g****m 17
Fredy Chimire F****e@e****w 15
Fredy Chimire f****x@g****m 13
Muthoni Gachoki 4****9 12
Andrew Sila a****a@c****g 10
Cirad Zim y****u@e****m 8
oscarbau o****c@u****o 8
SasoA 4****A 7
unknown m****e@g****m 7
DZUDA b****a@c****g 6
Dzai k****a@g****m 5
NjoguM M****9@g****m 4
GacheriNturibi g****i@g****m 4
Céline Aubert a****e@y****m 2
egbendito g****4 2
J-MJohnson y****n@g****m 1
Layal Atassi 3****i 1
and 3 more...

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Last synced: 4 days ago

Total issues: 9
Total pull requests: 416
Average time to close issues: about 2 months
Average time to close pull requests: about 15 hours
Total issue authors: 2
Total pull request authors: 16
Average comments per issue: 0.89
Average comments per pull request: 1.06
Merged pull request: 342
Bot issues: 0
Bot pull requests: 0

Past year issues: 7
Past year pull requests: 310
Past year average time to close issues: about 2 months
Past year average time to close pull requests: about 15 hours
Past year issue authors: 2
Past year pull request authors: 12
Past year average comments per issue: 1.14
Past year average comments per pull request: 1.07
Past year merged pull request: 244
Past year bot issues: 0
Past year bot pull requests: 0

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