The Value of Data
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The document discusses open data policies and the value of data. It outlines risks and challenges of open data like re-valuing data, ensuring data standards, and maintaining confidentiality. The document proposes initial training resources on topics like data quality, data collection methods, metadata, and archiving. It asks what capacities and skills researchers need to comply with open data policies and take advantage of them. Feedback on the training topics is requested.
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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
- 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