Accessing and using data Donor needs Siobhan Carey
Accessing and using data Donor needs Siobhan Carey Chief Statistician DFID 1 Palace Street, London SW 1 E 5 HE Abercrombie House, Eaglesham Road, East Kilbride, Glasgow G 75 8 EA
Context • DFID budget is increasing 12% pa • Consensus around the Managing for Development Results Agenda • Creates expectations • So how can we help policy colleagues be more evidenced based? • The stupid things that test us • • Updates - not adequately referenced Lack of metadata Short lead in times country dialogue with centre - who’s data to use • What would make us more effective ? Page 4
Context • • • Programmes in almost 70 countries Over 500 advisory staff – 10 disciplines Posting – 2 to 4 years Managing knowledge is difficult in general Managing knowledge about data • Got to be a better way better use of better statistics Page 5
“Looking for” at expense of “looking at” Access • All the data in a single space (WDI, UN, Country, DAC…) • Metadata –means to hold/capture • Ideally up to the minute - available on day produced • Other stuff - capturing the knowledge - referencing Communication • Tools to make the messages easy and quick to absorb • Automating routine reports properly cited Page 7
Portal for Development Indicators Prototype • How feasible is it to have different data in the same space? • Is it useful? • Approached from two fronts • content - tested using indicators from different sources - not comprehensive • function - capturing the knowledge, additional graph and map features • Used Dev. Info for convenience Page 8
If this was easy it would have been done already • Issues around standards, definitions, classifications • Content management • getting stuff in • handling revisions • ownership / stewardship • Ideally not just indicators - distributions, microdata, project data, expenditure data, outputs…… Page 9
Expected benefits • • Better and more timely data analysis for policy and country offices More comprehensive analyses, using international data in conjunction with e. g. DFID expenditure; Time saving in data extraction and presentation; Easy and appropriate use by less-informed users including an enhanced awareness of the quality of the data for the end-user. Help resolve discrepancies between data sources; Coherence of the data used across DFID Information about the data known to selected individuals is not lost. Autotmation of routine processes and reports Page 11
An example of why it might be useful - education Page 12
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Still looking at NER … Page 17
That’s the why The what – Page 19
Dev. Info v 4. 0 Standard indicator selection Goal/sector Time Geography
Dev. Info v 4. 0 Presentations in tables
Dev. Info v 4. 0 Presentations in Graphs
Dev. Info v 4. 0 Presentations in Maps
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Next steps • Internal feedback is very positive • Adding more content • Deploying with a small group of users • But our needs aren’t unique • Have you a solution? • Can you help find a solution? Page 43
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