Consent use case

Description

We have two use cases running in India. One in the state of Bihar and another in the state of Andhra Pradesh.

1. In use case 1, Digital Green provides coaching to farmers on climate smart practice. Digital Green already maintains database of farmers, the practices they have adopted and the crops they have grown. While showing the videos, the extension worker gets the consent from the farmers to share their activity and field details to certifiers and buyers. If the farmers give the consent, the relevant data is transferred.

   1. Incentive for farmers: ease of onboarding and benefit of getting discovered

   2. Incentive for organisations: buyers get to discover the farmers easily

   3. incentive for govt: give control in the hands of farmers

2. In use case 2, Digital Green right now is operating the certification shops for chilli farmers where the grade of produce is quantified and they get customised advisory to improve the quality and also to connect to the buyers who can give better price. In future this is to be operated by government owned shops where the details of the grade will be shared based on the consent of the farmers.

   1. incentive for farmers: decide whom and what data they want to share, if grade is bad they want to share to just the advisory service provider details about the practice

   2. incentive for the buyers: discovery of farmers and able to offer better price for better quality

   3. incentive for the govt: enable network and help improve quality in long term

Visualize the solution

1. Use case 1

   1. The extension workers who show videos to the farmers and provide advisories collect consent using an app:

      1. The app has visual images or videos that explain the data that is held by the govt, how sharing this can help the farmer and the reason for their consent

      2. Explain that the farmers will get verification call and/or SMS and the response they should give

      3. Stage 1 focuses on enabling farmers to exercise control of “with whom and how data can be shared”

      4. Stage 2 enables farmers to exercise control of “what part of data can be shared to whom”

      5. Stage 3 enables farmers to exercise control of “the purpose of sharing specific part of data - defined by application”

   2. The data of the farmers about their farm and farming activity (including history) is maintained by DG in MySQL DB and an application is created that queries data from the MySQL tables to create a combined table of relevant columns. The application runs inside a connector and passes on only that field where the consent artefact is a) obtained and is b) valid. The application need not be real time and can have some latency in fetching data

   3. Every time data is shared for a specific farmer, the transaction is logged which has the details of a) the connector or endpoint where it was made available, b) the metadata of the org who had the access.

   4. The connector can be run by DG or by the government partner.

2. Use case 2

   1. Similar to above except that the farmers give consent at the certification shops.

Who are the customers and why do they want consent?

1. Use case 1:

   1. Farmers are sensitive about sharing the details of their field size etc unless there is benefit

   2. Government who is maintaining this data with digital green wants to impose necessary restrictions so that farmers data is controlled by the farmers

2. Use case 2:

   1. Farmers who get lower grade may not want to share the data to the buyers as it gets lower price but they may want to share the details with an advisory service to know how they can improve their grades

   2. The grade of the produce by the farmers is a sensitive information that needs to be managed by the government and they want necessary restrictions to be placed

Scale and effort

1. Use case 1:

   1. Scale: we wish to start in a toned down use case where we start with advisory creation by sharing location data for getting soil parameters (start with few 100 farmers)

   2. Effort: Medium

2. Use case 2:

   1. Scale: pilot done with 2000 farmers

   2. Effort: Medium - large