Jeni Tennison

Open Data Institute

Jeni Tennison is the Vice President and Chief Strategy Adviser of the Open Data Institute, which has a mission to work with companies and governments to build an open, trustworthy data ecosystem. She gained a PhD in AI from the University of Nottingham then worked as an independent consultant, specialising in open data publishing and consumption. She was the technical architect and lead developer behind legislation.gov.uk, before joining the ODI as Technical Director in 2012, becoming CEO in 2016 and Vice President in 2020. She served on the W3C's Technical Architecture Group from 2011 to 2015 and co-chaired the W3C’s CSV on the Web Working Group. She is the co-chair of the Data Governance Working Group within the Global Partnership for AI. She also sits on the Advisory Boards for the Open Contracting Partnership, Global Partnership for Sustainable Development Data and the Information Law and Policy Centre; on the UK's Health Tech Advisory Board; and is an adviser to the Board of OpenUK. She loves board games and is the proud co-creator of the open data board game, Datopolis.

09:35 - 10:10

Monday 10 May

KEYNOTE: Data sharing and stewardship in the social sector

It's really common for the data an organisation, a community, or individual people need to support its decision making to be captured and held by someone else. When many organisations or people would benefit from access to the same data, it's common for intermediaries to be created to steward this data for that set of stakeholders, and some of these become well-loved public institutions such as the Office for National Statistics. The increasing availability of, and desire to, use data to support decision making means we need more of these organisations, which we call data institutions. There is a strong role for non-profits and funders to play as data institutions, in order to fulfil their public good purposes. Jeni, Vice President and Chief Strategy Adviser of the Open Data Institute, will talk about what that might look like and some of the challenges that need to be addressed to ensure that data institutions can work in and for the social sector.