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In this section: |
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With the crowdsourced data commons approach, data is pooled and collectively governed by a community toward a common purpose. |
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Organizers can enhance access to data and contribute to the creation of new datasets without (necessarily) centralizing control. |
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Crowdsourced data commons require defining technical standards for the pooled data as well as processes and structures for community governance. |
In India, two alternative data governance approaches have been notable. Both seek to achieve public interest goals by generating open datasets, but they have adopted different legal forms. We will first discuss the one that uses crowdsourced data commons.