Sensible-Data Design Challenge

http://ecitizen.mit.edu/sensible-dataParticipatory Engagement Session

Challenge: How to create a system that allows management of data flows within computational

social science studies

– Can support multiple studies by multiple researchers, re-using common user management, informed consent management, personal data access management, and dashboard reporting

– Can support multiple users in multiple studies, providing continuous view of data being collected and see and manage informed consent and particular data authorizations

Value, Importance, and Relevance

• Privacy Aware approaches are needed but not enforced or mandated by external authority – rather just bare minimum is used now

• Need a simple approach that is usable, inexpensive, efficient and effective

• What Funf does for data collection FROM phone is needed for DATA management FOR users (researchers and participants)

• The “Study” use case can extrapolate to several broader scenarios (but we keep it focused for now)

Computational Social Science Studies

• CSS experiments and studies are often based on data collected with an unprecedented resolution and scale. Using raw computational power combined with theoretical models, such rich datasets can be mined to infer underlying patterns, providing insights into human nature. As data collection has become ubiquitous, people’s lives are recorded with increasing accuracy, and sensitive information about individuals flood the databases. For that reason, the need for solutions to ensure the privacy the individuals generating data, has grown alongside the data collection efforts

Example of Study Platform

Background/Assumptions

• University hosted system for 2013 summer research studies

• Non-bio medical or protected health records• Separation between data collection and the

Sensible-data platform • Seeking a more scalable in size & time than

current code-base and more standards-based

Conceptual Wireframes1. Researcher creates study

2. Participant’s overview

3. Participant’s study details

Known Resources & Options

• CouchDB• DTU-CAS / Athena-Kerberos• Trust Framework • MongoDB• OpenPDS• Facebook, Google, & FUNF Clients• OAuth2 now, Examining OIDC & UMA

Requirements

• 1. User Account (enroll/register)• 2. Authentication• 3. Informed Consent Management (Study Join)• 4. Dashboard With Consent and Authorization

Terms (3rd party grants)• 5. Data Flow via Pipes Gauges & Reporting

Diagrams

How to Share Your Idea

• Design Challenge Participation Through URL• http://ecitizen.mit.edu/sensible-data• Form to join challenge and submit idea• Agree to contribute idea under creative commons

and the code we write will be MIT code using open source license (MIT license is planned unless other indicated)

• Question Session: April 5th, 2013• Deadline to Propose Ideas: April 12th, 2013

Join the Challenge

• Register and Stay Up to Date at:• http://ecitizen.mit.edu/sensible-data