Step 2: Understanding

2.1 Identify personas and their value exchanges

Identifying the different individuals encountered throughout the AgDev ecosystem, each with their own learning needs, barriers, motivations and goals, and understanding what is exchanged amongst them

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Step 2: Understanding

2.2 Identify enabling and inhibiting factors

Identifying external influences that help or challenge the implementation of FAIR data practices

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Step 2: Understanding

2.3 Data ecosystem mapping

Developing a visual representation of the data landscape, illustrating how data flows, how different entities interact with data, and the relationships between various data-related elements

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Step 3: Planning

3.0 Identifying data assets

To manage data assets effectively, create an inventory to clarify data types, ownership, and future use, supporting data sharing and long-term impact

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Step 3: Planning

3.1 Plan the inventory

Deciding on the purpose, scope and granularity of your data inventory

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Step 3: Planning

3.2 Identify output and input data assets

Identifying the output data assets your investment will yield, and the input data assets that produce them

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Step 3: Planning

3.3 Establish attributes and metadata

Establishing the important metadata to be added to data inventories

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Step 3: Planning

3.4 Compiling the inventory

Gathering information to start putting your inventory together and deciding how best make it accessible to others

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