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Loughborough research forum 2010 data overload presentation

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  • 1. Nicola Beddall-Hill Informatics ESRC PhD candidate Attached to the TLRP TEL project Ensemble Workshop Session: Dealing with data Overload The Retroductive Approach Research2 PhD Forum on Research Methods Information Science at Loughborough University: 9th July 2010 Workshop Session: Dealing with data Overload The Retroductive Approach Research2 PhD Forum on Research Methods Information Science at Loughborough University: 9th July 2010 Supervisors: Prof. J., Raper; U., Patel; Prof. P., Carmichael & Prof. F., Webster
  • 2. Retroductive approach The basic task of social enquiry is to explain… regularities (R). Explanation takes the form of positing some underlying mechanism (M) which generated the regularity.... How the workings of such mechanisms are contingent and conditional (C). Retroductive Aim To discover underlying mechanisms to explain observed regularities From Document & model a regularity Construct a hypothetical model of a mechanism To Find the real mechanism by observation &/or experiment Regularity = mechanism + Context (Adapted from Pawson & Tilley (1997:72) in Blaikie (2000:112) Regularity = mechanism + Context (Adapted from Pawson & Tilley (1997:72) in Blaikie (2000:112) (Adapted from Blaikie,2000:09)
  • 3. • Ethnographic observation creating mixed data- audio visual, audio, still, focus groups, field notes and GPS track logs • The data is the observation of the life cycle of a student project using technology to enhance learning • Need to start at the beginning to understand the outcomes • Mixed media taken simultaneously needs joining up • 65GB of raw data!
  • 4. RAW DATARAW DATA DatabaseDatabaseTimeline Level 1: Organize raw data Level 2: Sort in database Level 3: Timeline critical events Level 4: Make critical events anonymous into Fedora Level 5: Critical events in ATLAS using theoretical concepts Level 6: Create a model Level 7: Test model
  • 5. DatabaseDatabase RAW DATARAW DATA Timeline FEDORAFEDORA Level 1: Organize raw data Level 2: Sort in database Level 3: Timeline critical events Level 4: Make critical events anonymous into Fedora Level 5: Critical events in ATLAS using theoretical concepts Level 6: Create a model Level 7: Test model
  • 6. RAW DATARAW DATA DatabaseDatabase ATLAS ti.6ATLAS ti.6Concepts to theorize Concepts to theorize Timeline FEDORAFEDORA Field trip test bed Field trip test bed Level 1: Organize raw data Level 2: Sort in database Level 3: Timeline critical events Level 4: Make critical events anonymous into Fedora Level 5: Critical events in ATLAS using theoretical concepts Level 6: Create a model Level 7: Test model
  • 7. Raw data Raw data Bento-files linked & labeled Bento-files linked & labeled When software fails! When software fails! Level 1Level 1 Level 2Level 2 Level 3Level 3
  • 8. Email: nicola.beddall.1@city.ac.uk Twitter: http://twitter.com/citymobileangel Web: http://www.ensemble.ac.uk/ Nicola Beddall-Hill ESRC PhD candidate – Informatics Dept. TLRP TEL project Ensemble Learning with mobile devices in the field
  • 9. Email: nicola.beddall.1@city.ac.uk Twitter: http://twitter.com/citymobileangel Web: http://www.ensemble.ac.uk/ Nicola Beddall-Hill ESRC PhD candidate – Informatics Dept. TLRP TEL project Ensemble Learning with mobile devices in the field