Role within the Intelligence Unity, work with statisticians and analysts, specific focus on GI Role of GLA as strategic regional authority, not same operations as a Borough or TfL, no official data management protocols Collate and collect data from other organisations, not trying to replicate their efforts, where we’re republishing data – licenses and adding value Typically focussed on researchers and officers in GLA, FBs, Boroughs, researchers, academics, public – developer community is new for us Most data goes out in Excel files or embedded as charts & tables in reports, website & extranet, FOL to GoogleDocs, This is really a first effort to get the ball rolling, want it to be scalable, committed to the future, want to get it right
Have a responsibility to adhere to any special licensing terms signed up to. Not seeking to replicate other efforts. Need to make sure if we commission, that we own the data Crowdsourcing model of scrutiny, as Emer says – no place to hide
Want to throw these out there, hopefully generate plenty of discussion later How do you expect to find out about these, sexy front end vs boring metadata catalogue Working to coding standards and core reference geographies (if they exist) – fully aware of the bigger issues, can try to get Boris to put some pressure Lots to choose from, do we need one What level of normalisation? Where do we draw the line? Eg. Population projection working files. – see example of LAEI or expenses What do you expect? Email? Phone? Where possible look to secure best possible terms. Looking creative commons. Probably going to depend on which datasets. Ultimate question, really good for us to get a feel (postcodes excluded!)
Developer Day Data
GLA Approach to Data What does the GLA do again? Our Audience Collation v. Creation Publishing Starter for 10
Types of Data Collated <ul><li>Official statistics </li></ul><ul><li>Boroughs/FBs </li></ul><ul><li>Commercial </li></ul><ul><li>e.g. </li></ul><ul><li>allotments, </li></ul><ul><li>stat-pack </li></ul>Generated <ul><li>Project or policy based </li></ul><ul><li>In-house and commissioned </li></ul><ul><li>e.g. LAEI, population projections </li></ul>Operational <ul><li>Measuring performance </li></ul><ul><li>Scrutinising </li></ul><ul><li>Transparency </li></ul><ul><li>e.g. expenses, budget, gifts & hospitality </li></ul>
Questions/Issues/Challenges Discovery Geography and Coding Data models Schemas Ontology How raw is raw? Support License terms What data do you really, really want?