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The value of data 
Carlos Barahona 
Statistical Services Centre, University of Reading, UK
Open Data Policies 
• We are moving in the direction of change 
• IT is ready and changing fast 
• CG ODP is in place 
• but I believe it is a working hypothesis and will evolve 
• Incentives, skills and resources requireed are probably 
underestimated 
• But we also need a change in culture
Risks and challenges 
• Re-value the data 
• Use accumulated data 
• How to provide data 
• Compliance and supervision 
• Data Standards 
• Data depositories 
• Incentives 
• Support 
• Confidentiality 
• Completeness 
• Long term management
An initial proposal for training resources 
• What is Data Quality? 
• Role of scientists and research methods support in relation to Data Quality 
• The value of data: Design-Collect-Assess-Build-Share 
• Elements of sampling 
• Good Data Collection 
• Using paper 
• Using electronic devices 
• Checking consistency of data 
• Metadata 
• Data archiving 
• What is research with a Systems Approach 
• Options by Context – an emerging framework for research
What capacities/skills do we (scientists/ research methods 
support/institutions) need to develop to: 
• Comply with CG Open Data Policy 
• Take advantage of the Open Data Policy, i.e. what can it do for me?
Resources 
• Do you have any suggestions for 
• Additions 
• Remove some items 
• Contents of some of the topics

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The Value of Data

  • 1. The value of data Carlos Barahona Statistical Services Centre, University of Reading, UK
  • 2. Open Data Policies • We are moving in the direction of change • IT is ready and changing fast • CG ODP is in place • but I believe it is a working hypothesis and will evolve • Incentives, skills and resources requireed are probably underestimated • But we also need a change in culture
  • 3.
  • 4.
  • 5. Risks and challenges • Re-value the data • Use accumulated data • How to provide data • Compliance and supervision • Data Standards • Data depositories • Incentives • Support • Confidentiality • Completeness • Long term management
  • 6. An initial proposal for training resources • What is Data Quality? • Role of scientists and research methods support in relation to Data Quality • The value of data: Design-Collect-Assess-Build-Share • Elements of sampling • Good Data Collection • Using paper • Using electronic devices • Checking consistency of data • Metadata • Data archiving • What is research with a Systems Approach • Options by Context – an emerging framework for research
  • 7. What capacities/skills do we (scientists/ research methods support/institutions) need to develop to: • Comply with CG Open Data Policy • Take advantage of the Open Data Policy, i.e. what can it do for me?
  • 8. Resources • Do you have any suggestions for • Additions • Remove some items • Contents of some of the topics
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