With a nod to the great work by Kathryn Herr, I'm also building my Dissertation in public here at the Art of Data Governance to help share the experience beyond the setting of Governance of Data Collaboratives.
This page helps to bring together the content from across this site, into a coherent narrative that will support the final (and successfully submitted) dissertation in late 2024.
Work in Progress
Think of this as a living Table of Contents, that gets added to and moved around as I collaborate with other Data Governance Professionals in the diagnosis of the problem space, and in the development of a solution based on the Action Research Cycles of Plan, Act, Observe, Reflect.
Sidebar: These Action Research Cycles are not dissimilar to the Loop of observe–orient–decide–act (OODA) coined by military strategist and United States Air Force Colonel John Boyd in the 1950s, pre-dating by 45 years the concept of iterative or 'Agile' design concepts.
Anyway, as each section/chapter is drafted, I'll update the following with the links, and those heading without links, are still in the body shop having the dents removed! Please note that I will be tagging this content for subscribers only, so if you haven't already, sign up to get access.
Enjoy, and remember, it's a work in progress and subject to significant change!
A Governance Framework for Data Collaboratives
The purpose of this project is to lift the capability of both public and private sector organisations to successfully participate in Data Collaboratives by developing a Governance Framework for Data Collaboratives.
Drawing on an emerging body of literature, this novel framework will be designed, operationalised, and benchmarked in partnership with a global community of Data Stewards and comprise a set of governance principles, models, disciplines, concepts, guidelines, and proven practices in public-private Data Collaboration.
As a novel framework this will deliver scholarly impact in its own right: we expect to publish aspects of the framework’s design in academic and practitioner venues. Using this framework will support this practitioner community in their work to help senior leaders of both public and private organizations gain value from the Data Collaboratives they participate in.