India's Conception of Community Data and Addressing Concerns for Access to Justice

Area of Science:

• Data Governance
• Information Law
• Social Science

Background:

• The concept of community data emerged within India's Non-Personal Data framework.
• Existing commentaries highlight definitional challenges regarding community identification and representation.

Purpose of the Study:

• To address challenges in defining "community" within data governance.
• To propose a framework for operationalizing community data and ensuring access to justice.
• To analyze the components of community data justice.

Main Methods:

• Conceptual analysis of community data definitions.
• Development of a framework for operationalizing community data justice.
• Examination of individual standing within a community in relation to data access.

Main Results:

• Community data justice requires clear identification of community belonging.
• Capacity to participate within the community is essential for data justice.
• The opportunity to exit a community is a critical component of data justice.

Conclusions:

• Operationalizing community data justice necessitates a framework addressing belonging, participation, and exit.
• Access to and use of community data are intrinsically linked to an individual's standing within the community.
• This framework provides a model for navigating the complexities of community data governance and justice.