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AgrDataSci · Nov 22, 2024 · b3ddca4 · b3ddca4
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diff --git a/docs/introduction to tricot/_category_.json → ...01-introduction-to-tricot/_category_.json b/docs/introduction to tricot/_category_.json → ...01-introduction-to-tricot/_category_.json
diff --git a/docs/introduction to tricot/doc/tricot.pdf → .../01-introduction-to-tricot/doc/tricot.pdf b/docs/introduction to tricot/doc/tricot.pdf → .../01-introduction-to-tricot/doc/tricot.pdf
diff --git a/...roduction to tricot/img/10StepsTricot.png → ...roduction-to-tricot/img/10StepsTricot.png b/...roduction to tricot/img/10StepsTricot.png → ...roduction-to-tricot/img/10StepsTricot.png
diff --git a/docs/introduction to tricot/introduction.md → ...01-introduction-to-tricot/introduction.md b/docs/introduction to tricot/introduction.md → ...01-introduction-to-tricot/introduction.md
diff --git a/docs/introduction to tricot/steps.md → docs/01-introduction-to-tricot/steps.md b/docs/introduction to tricot/steps.md → docs/01-introduction-to-tricot/steps.md
diff --git a/docs/02-planning/_category_.json b/docs/02-planning/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "Planning a tricot experiment",
+  "position": 2,
+  "link": {
+    "type": "generated-index",
+    "description": "Problem Identification. Defining research questions and objectives. Understanding the target farming system. Stakeholder Engagement. Roles of researchers, extension agents, local facilitators, and farmers. Building partnerships (e.g., with NGOs, genebanks, seed companies). Resources and Budgeting. Required materials (e.g., seeds, observation tools, digital platforms). Time and financial planning."
+  }
+}
diff --git a/docs/02-planning/introduction.md b/docs/02-planning/introduction.md
@@ -0,0 +1,17 @@
+---
+sidebar_position: 1
+---
+
+# Planning a tricot experiment
+
+## Problem Identification
+- Defining research questions and objectives.
+- Understanding the target farming system.
+
+## Stakeholder Engagement
+- Roles of researchers, extension agents, local facilitators, and farmers.
+- Building partnerships (e.g., with NGOs, genebanks, seed companies).
+
+## Resources and Budgeting
+- Required materials (e.g., seeds, observation tools, digital platforms).
+- Time and financial planning.
diff --git a/docs/03-experimental-design/_category_.json b/docs/03-experimental-design/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "Experimental design",
+  "position": 3,
+  "link": {
+    "type": "generated-index",
+    "description": "Find the testing protocols you need. Learn about target product profiles and how to choose the technologies to test. Target population of environments for site selection. And participant recruitment."
+  }
+}
diff --git a/docs/Protocols/bean_protocol.md → docs/03-experimental-design/bean-protocol.md b/docs/Protocols/bean_protocol.md → docs/03-experimental-design/bean-protocol.md
diff --git a/...cipant Recruitment/geographic_sampling.md → ...xperimental-design/geographic-sampling.md b/...cipant Recruitment/geographic_sampling.md → ...xperimental-design/geographic-sampling.md
diff --git a/...ant Recruitment/socioeconomic_sampling.md → ...rimental-design/socioeconomic-sampling.md b/...ant Recruitment/socioeconomic_sampling.md → ...rimental-design/socioeconomic-sampling.md
@@ -13,3 +13,15 @@ A task group approach is also in line with a much more performative way of parti
 From a demand led perspective breeders are interested in good information on the suitability of improved varieties within the livelihoods of the users and therefore want to know the user preferred crop characteristics. To get good information it is therefore important to get this from experienced people that are skilled in farming but also with regards to processing of the crop into the food products and their quality as well as the marketing of the crop. Importantly storability of food products as well as fresh roots tubers and bananas are important in the last instance.  E.g if men are are hardly involved into processing cassava into gari , a breeder will not be interested much in men’s preferences with relation to processing because they will not always be able to give correct hands on experience-based knowledge because they do not possess the skill. Men in this case might have indirect knowledge about it (e.g. through their spouses), but certainly not the embodied skills.
 
 A bad example of how participants got chosen is a farce case where someone wanted to work with mango farmers and ended up with only male participants of which non had a mango tree field. When later confronting these participants with this, the village chief and his friends all claimed to have a mango tree in their backyard. It is obvious that a tricot with such participants will not yield the best information.
+
+
+| Locally Relevant Social Group*                     | Share of Local Population (oral or record share) [B1.4a] | Language (record language) [B1.4b] | Associated Livelihood(s) or Crops [B1.4c]                                           | Tasks Related to Cassava (Women)                      | Tasks Related to Cassava (Men)                          | Better Off Group(s)? (Yes=1, No=2) [B1.4d] | Politically Active & Influential Group(s)? (Yes=1, No=2) [B1.4e] |
+|----------------------------------------------------|----------------------------------------------------------|-------------------------------------|------------------------------------------------------------------------------------|------------------------------------------------------|--------------------------------------------------------|------------------------------------------|---------------------------------------------------------------|
+| i. Ilaje (originally from Ondo state)             | 1000                                                     | Yoruba dialect                      | Fishing, selling of fish                                                          |                                                      |                                                        | 2                                        | 2                                                             |
+| ii. Agatu (Immigrants from Benue state)           | 500                                                      | Agatu                                | Farming (subsistence and cash crops), farm labourer. Includes cassava             | Farming (weeding, harvesting), processing, marketing | Farming (weeding, planting, harvesting), marketing of fresh roots | 2                                        | 2                                                             |
+| iii. Markurdi (Immigrants from Benue state)       | 100                                                      | Tiv/Igede                            | Farming (subsistence and cash crops), farm labourer. Includes cassava             | Farming (weeding), processing, marketing            | Farming, marketing of fresh roots                        | 2                                        | 2                                                             |
+| iv. Hausa                                         | 10                                                       | Hausa                                | Trading, fishing                                                                 |                                                      |                                                        | 2                                        | 2                                                             |
+| v. Cotonou (Immigrants from Benin republic)       | 50                                                       | Fon/Ewe                              | Farming (subsistence and cash crops), particularly cultivate vegetables, tomatoes, and peppers. Includes cassava | Farming (planting, weeding), processing, marketing   | Farming and occasional processing                      | 2                                        | 2                                                             |
+| vii. Fulani                                       | 150                                                      | Fulfulde                             | Cattle rearing                                                                    |                                                      |                                                        | 2                                        | 2                                                             |
+| viii. Yoruba                                      | 18145                                                    | Yoruba                               | Farming (food and cash crops), trading. Includes cassava                          | More of processing, some farming (weeding), firm marketing | Farming, marketing of fresh roots                        | 1                                        | 1                                                             |
+
diff --git a/docs/03-experimental-design/standard-operating-procedures.md b/docs/03-experimental-design/standard-operating-procedures.md
@@ -0,0 +1,8 @@
+---
+sidebar_position: 2
+---
+
+# Standard operating procedure
+
+A crop protocol provides a standardised overview of the basic information that will be collected during a crop tricot trial. The protocol provides an overview of the data collection moments during the trials and the variables and traits collected at each data collection moment. Farmers evaluate varieties in their on-farm trials and provide comparative observations by ranking the varieties based on their performance throughout their growth and post-harvest qualities including taste and consumption preferences.
+
diff --git a/docs/Technology selection/tpp.md → docs/03-experimental-design/tpp.md b/docs/Technology selection/tpp.md → docs/03-experimental-design/tpp.md
diff --git a/docs/ClimMob suite/ODK.md → docs/04-climmob-suite/ODK.md b/docs/ClimMob suite/ODK.md → docs/04-climmob-suite/ODK.md
diff --git a/docs/04-climmob-suite/_category_.json b/docs/04-climmob-suite/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "ClimMob suite",
+  "position": 4,
+  "link": {
+    "type": "generated-index",
+    "description": "Design your trial on ClimMob. Filling the experiment metadata. Technologies metadata. Data collection (ODK, Enketo, Excel, etc.), dealing with data submission conflicts. The full ClimMob manual. Data validation. Data sharing. Ethics and privacy."
+  }
+}
diff --git a/docs/ClimMob suite/climmob.md → docs/04-climmob-suite/climmob.md b/docs/ClimMob suite/climmob.md → docs/04-climmob-suite/climmob.md
diff --git a/docs/ClimMob suite/data_submission.md → docs/04-climmob-suite/data-submission.md b/docs/ClimMob suite/data_submission.md → docs/04-climmob-suite/data-submission.md
diff --git a/docs/05-implementation/_category_.json b/docs/05-implementation/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "Implementation",
+  "position": 5,
+  "link": {
+    "type": "generated-index",
+    "description": "Setting up experiments. For OFT, best practices in planting and maintaining the plots. For consumer testing, best practices in handling the samples. Preparing the packages for distribution."
+  }
+}
diff --git a/docs/06-data-analysis/_category_.json b/docs/06-data-analysis/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "Data analysis",
+  "position": 6,
+  "link": {
+    "type": "generated-index",
+    "description": "Analytical framework. Overview of statistical models (e.g., Plackett-Luce, Bradley-Terry). Tools for analyzing ranking data. Visualization. Integration with other datasets (agroclimatic, soil, and socio-economic data). Case studies."
+  }
+}