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Issue-#982: Update consumer parameters section.

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Akshay 2022-05-16 17:28:06 +02:00
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content/concepts/did-ddo.md
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@ -447,9 +447,9 @@ Example:
Sometimes, the asset may need some input before downloading a dataset or running an algorithm.
Examples:
- The dataset publisher wants to know the desired sampling interval of data before the buyer downloads it. Suppose the dataset URL is `https://example.com/mydata`. So the publisher will define a field called `sampling`, ask the buyer to enter a value, and then this parameter is going to be added to the URL of the published dataset as query parameters: `https://example.com/mydata?sampling=10`.
- Sometimes, the asset needs additional input data before downloading a dataset or running an algorithm. The publisher needs to know the sampling interval before the buyer downloads it. Suppose the dataset URL is `https://example.com/mydata`. The publisher then defines a field called sampling and asks the buyer to enter a value. This parameter is added to the URL of the published dataset as query parameters: `https://example.com/mydata?sampling=10`.
- Before running an algorithm, the algorithm needs to know how many iterations should it perform. In this case, the algorithm publisher defines a field called `iterations`. The buyer enters the value for the `iterations` parameter, and later this value is stored in a specific location in the Computer-to-Data pod for the algorithm to read and use that value.
- An algorithm that needs to know how many iterations it should perform. In this case, the algorithm publisher defines a field called `iterations`. The buyer needs to enter a value for the `iterations` parameter. Later, this value is stored in a specific location in the Computer-to-Data pod for the algorithm to read and use it.
It's an array of elements, each element object defines a field.
An element looks like: