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Data Collection for Research Based Organizations to Aid Research!
- 1. Data collection for research- based organizations – to aid research! Metrics: How am I doing? How’s My Program/Project Doing? How’s My Nonprofit Doing? 12NTCNPOKI Stan Mierzwa
- 2. Evaluate This Session! Each entry is a chance to win an NTEN engraved iPad! INSERT QR CODE HERE or Online at www.nten.org/ntc/eval
- 3. Agenda • Who is the Population Council • Case study of electronic data capture (what, why, how) • What we didn’t capture that I wish we did • Trends for tools • Need for a focused group in ICT
- 4. The Population Council conducts biomedical, social science, and public health research. We deliver solutions that lead to more effective policies, programs, and technologies that improve lives around the world.
- 8. Why capture self-report data electronically? • Research indicates interview method affects answers to sensitive questions • No interview bias’ • Increased privacy and confidentiality may lead to more honest reporting • With Face to Face (FTF) interviews, participant may be more likely to: • Under-report on sensitive questions • Over-report desired behaviors
- 9. What is ACASI? • ACASI = Audio Computer Assisted Self- Interview • What is the interviewer’s role?
- 12. Why did our IT group get involved in this sort of project? • Decision was made to partner more closely with the programmatic groups and researchers – where possible • Help where there was an un-met need • Improve collaboration (internal and external) • Help present innovative solutions during proposal preparation – add value
- 13. What we did not capture
- 15. Data NOT Captured that could have been useful-good problem • Total number of electronic surveys done thus far • Warehoused the data to be able to report on it all • Keep track of all surveys, listing translations, locations done and key indicators • % of incomplete and error surveys • Centralized list of success stories
- 16. How the data may relate to the “bigger” organizational picture • M&E • Capture data to align with key elements monitored • For potential future funding • Efficiencies to drive down cost • Efficiencies to look “on the ball” • Efficiencies to prove innovative
- 17. Tools
- 19. Tools to consider • From unconventional places • SMS; USSD; IVRS • “Smart” devices • Wisebags; Refrigerators (I’ll explain) • Smartphones • Open-source • Frontline SMS • Open Data Kit (ODK) • The tool should not be the focal point!
- 20. Need for separate ICT group? (another good problem)
- 22. One More Time! • Small data capture projects can end up scaling up fast – prepare yourself • Partnering with research staff is a very positive experience • Look ahead – capture qualities about the survey data itself • Consider how you might start to become a semi-profit center • Move quickly if you build something • Get engulfed in the work
- 23. Acknowledgements Samir Souidi Paul Hewett Irene Friedland Barbara Mensch Craig Savel Jim Sailer Deborah Boccio Ruth Merkatz Ashutosh Mishra Pamina Gorbach Adan Isaac Lauren Katzen Paulino Ruiz Sarah Littlefield Chung Wu Mike Lim Du Luu
- 24. Evaluate This Session! Each entry is a chance to win an NTEN engraved iPad! INSERT QR CODE HERE or Online at www.nten.org/ntc/eval