1 / 11

Generating and sharing large datasets: Moving out of our measurement comfort

Generating and sharing large datasets: Moving out of our measurement comfort . Rita Kukafka and Pamela M. Kato October 16-17, 2012 Bruxelles , Belgique. Why this is important.

carlo
Download Presentation

Generating and sharing large datasets: Moving out of our measurement comfort

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Generatingand sharing large datasets: Moving out of our measurement comfort RitaKukafkaand Pamela M. Kato October 16-17, 2012 Bruxelles, Belgique

  2. Why this is important • Takes advantage of technological capabilities to capture and store and analyze large amounts of health behavior data • From sensors, mobile technology, etc. • Cloud computing • Capture and store a multitude of data streams to represent simultaneously contextual factors, as well as individual level factors • Behavior change interventions can be adaptive in response to emerging patterns and contexts

  3. Examples • Ecological Momentary Assessment Data • Data automatically connected via blood glucose monitors, blood pressure monitors, scales • Web data collected daily • Data collected semiannually in extended longitudinal studies Thank you, Runze Li: http://methodology.psu.edu/media/2012_SRNT/Li_SRNT.pdf

  4. Statistical Analysis Challenges • Complex data structure • Data collected at irregular time points within and between subjects • Covariates can vary over time (negative affect) and/or be constant (gender) • Ordinary linear statistical approaches are not appropriate

  5. Practical Challenges • Expertise • Inadequate knowledge to plan data collection and ability to analyze the data • Not knowing where to find appropriate expertise (not knowing you need to work with one)

  6. Research Challenges • Causality • correlational, non-experimental, post-hoc analyses, atheoretical • Reliability and validity • Were data collected in the same way at each site? • Is the data clean or noisy? How can we tell? • Some principles may be ignored • such as choosing a representative sample • Selecting data that is driven by behavior change theory and models Rita-What is meant by “data” • Need theory and specialists in behavior change to contextualize and offer insights into data • Integration across heterogeneous data resources • logistical as well as analytical challenges

  7. Addressing Challenges • Need for psychometricians andexperts in analyzing complex data • Need for collaboration across disciplines and distances • Need the right metrics to measure outcomes • Focusing on what matters to the end users • patient oriented outcomes • Usability issues

  8. Exploring Opportunities I • Expertise • Sharing experts and expertise • Promoting the role that behavioral scientists play • Directory of experts??? Where? • Use framework/manual for non-experts • End Users • Sharing with end users – require models that can be opened up for inspection so that the user can see how the data collected has represented his or her progress and misconceptions • Listening to the end user (patient/consumer) and meeting their needs (what do patients value and want)

  9. Exploring Opportunities II • Linking data, people, technologies • Cloud capabilities • Creating a community site where standards are debated, agreed on, shared between researchers (behavioral scientists, statisticians, etc.), end-users, care providers and technology specialists • Use of communication technologies (video conferencing, Google docs) • Ensuring interoperability of technologies across platforms and devices

  10. Any other ideas?? • Thank you!

More Related