Code Fellows

GMDSP enables local authorities to release data as linked open data in synchronisation with each other. This is achieved by placing skilled coders into organisations to identify, release and model data sets.The fact that multiple organisations are involved means that a key responsibility of code fellows is to work collaboratively with code fellows across other councils.The role of code fellow is suited to high calibre developers and data activists, requiring a subtle mix of data context analysis, technical aptitude and strong collaborative work ethic.The programme consists of 2 phases and will include all ten local authorities in Greater Manchester. If you are interesting in participating in Phase 2 of the programme, we strongly encourage you to read the code fellow candidate description and register your interest by contacting

Steven Flower

stevenflowerSteven Flower is working with Trafford Council and has extensive experience of implementing projects that focus on open data. This has ranged from community allotments to international aid, with a key aspect being stakeholder engagement.

Alongside being a Code Fellow, Steven works on the International Aid Transparency Initiative (IATI), a global programme to make information on overseas development more accessible. This involves a data standard that over 200 organisations – ranging between The World Bank to small NGOs – have adopted. Steven advises and assists publishers to meet the standard, as well as auding data quality, and change control.

Steven is also a co-founder of Open Data Manchester, a grassroots organisation that meets monthly to focus on local open data issues. Alongside this, Steven and other volunteers run a monthly “CoderDojo” for young people interested in coding.

Twitter: @stevieflow

Daniel Kershaw

DanielKershawDaniel is placed with Manchester City Council and is currently working towards a PhD at Lancaster University in the HighWire CDT. His previous studies have afforded him an undergraduate degree, also from Lancaster, in Computer Science (BSc Hons) as well as a Masters of Research in Digital Innovation.

His current research efforts are focused on computational linguistics for the detection of social trends, and the evolution of language on social networks. Notably, his current work focuses on monitoring and tracking alcohol consumption rates through social media in the UK, visualising these variations over time and geographical locations.

Informed through his PhD research and his work on iLancaster, Daniel believes that the move towards Linked and Open data will help drive meaningful innovation for both the local, and wider community.

Twitter: @danjamker

Jon Dunleavy

Jon is a Code Fellow with Salford City Council and has been a self employed software developer for over 10 years creating things big and small for a variety of clients. The programming language love of his life is Python and he has been using it since 2007 to help his clients get what they want. He is not however, monogamous when it comes to these kind of things and habitually flirts with Ruby and JavaScript and is a regular at mancjs.

Having dealt with “ClosedData” for years, being involved in various Government projects. He believes the Public Sector should lead the way on access to data, linking data and collaboration with other entities, showing everyone what can be achieved when information is shared instead of hoarded.

When Jon isn’t programming you can often find him wandering the countryside trying to control his dog and child.

Twitter: @defmyfunc

Ian Dunlop

Ian DunlopIan is working as the Technical Code Fellow in the project and openhas over 15 years experience architecting, developing,

deploying and supporting client/server and data intensive software applications. With a degree in Mathematics Ian has applied his logic and problem solving ability to software across a variety of sectors. Ian has been working with linked data since 2006 and is a great believer in the empowering nature of open linked data and its ability to transform data silos into rich sources of knowledge.

Co-author of several papers with topics including workflow systems, linked data and web applications, Ian likes to keep on top of new technologies and how they can be applied to data rich software applications.

Intrigued by the possibilities of HTML5 and browser based web stacks Ian is currently using the Ember JS framework to develop a drug discovery web application for the Open PHACTS consortium. This also uses Ruby on Rails and a lot of RDF triples. Ian blogs about software development at

Twitter: @travellingbard