This working paper by Anita Gurumurthy and Parminder Jeet Singh discusses the need to focus on community approaches, away from an individualistic framework as well as critique the structural mechanisms of the draft legislation to govern data in the EU. Further, it extensively analyzes and compares the EU's Draft Data Governance Act, 2020 to the…
data ownership
Anushka Mittal wrote a policy brief titled, 'Data Sharing of Non-Personal Data - A Plausible Redistribution at Play'. The policy brief is based on her paper titled, 'Exploring the Constitutional Tenability of Data Sharing Policies', which laid down one way to look at the constitutional arguments that may be applied to the recommendations of the…
Anushka Mittal published a research paper as part of the Data Governance Network project titled, ‘Exploring the Constitutional Tenability of Data Sharing Policies’, analyzing the recommendations of the Draft Non-Personal Data Committee Report for community ownership of data and data sharing, from the perspective of its constitutional status in…
Parminder Jeet Singh authored a working paper titled, 'Breaking Up Big Tech: Separation of its Data, Cloud and Intelligence Layers', arguing that traditional competition frameworks are inadequate to address the rapidly building digital power concentration. Competition frameworks need to be combined with perspectives from technology governance…
Parminder Jeet Singh and Anita Gurumurthy co-authored a policy brief titled, ‘Data Sharing Requires a Data Commons Framework Law’, based on the paper 'Data and Digital Intelligence Commons'. The paper examined the current non-governance of aggregate non-personal data, and presented a new approach that involves treating a large part of such data…
Parminder Jeet Singh published a research paper as part of the Data Governance Network project titled, ‘Data and Digital Intelligence Commons: Making a Case for Community Ownership’, questioning the ‘open access’ paradigm for data and developing a theoretical basis for asserting community ownership of data.
Read the paper here.