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Legal mechanisms for data stewardship
A working group to explore different legal structures that support responsible management of data.
Exploring principles for data stewardship
An open set of case studies exploring principles for data stewardship.
Reinventing online platforms: is the new EU regulatory package enough?
Without mandatory interoperability, will the Digital Markets Act and Digital Service Act be enough to reset the rules for big tech?
Delivering responsible data through the National Data Strategy
Examining how the commitment to responsible data in the UK's National Data Strategy could be realised and what it misses.
Participatory data governance
Enabling a participatory approach to data use, access, sharing and governance where beneficiaries can control and oversee the use of their data.
The ethical case for data fiduciaries
Trust, vulnerability and trustworthiness, and ensuring that the interests of big tech are aligned with the interests of their users.
Data stewardship: an archival perspective
Archives as datasets? What can we learn from archivists in data preservation and sharing?
Strength in numbers: a case study for building a data-based community in cystic fibrosis
Now, more than ever, data can be used to bring people together as well as numbers.
Working with the CARE principles: operationalising Indigenous data governance
Shifting the focus of data governance from consultation to values-based relationships to promote equitable Indigenous participation in data processes.
Algorithms in social media: realistic routes to regulatory inspection
Establishing systems, powers and capabilities to scrutinise algorithms and their impact.
Common governance of data: appropriate models for collective and individual rights
From Elinor Ostrom’s design principles for governing the commons to mechanisms that ensure collective and individual data rights: what steps to take?
What forms of mandatory reporting can help achieve public-sector algorithmic accountability?
A look at transparency mechanisms that should be in place to enable us to scrutinise and challenge algorithmic decision-making systems