All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
Seattle-Denver VA Center for Innovation
1. brian m. bot | principal scientist |
2016 april 08
sage bionetworks
va seattle-denver center of innovation
smartphones and surveys and sensors,
oh my!
2. sage bionetworks
a non-profit organization which pilots a
variety of components that are necessary
to build a scientific research commons
focused on a world where biomedical research
will fundamentally change to be
more open and collaborative
supports communities of researchers
working collaboratively across disciplines
our approach
30. 1. tiered information access by
participants
2. ‘pictorial’ dominant on first information
tier
3. text dominant on second information
tier
4. require perfect score on short
assessment
participant-centered consent
36. the beginnings of open ecosystem in mHealth
balance the security settings of
the system with the desires of
those being studied
37. the beginnings of open ecosystem in mHealth
‘qualified researcher’ first pass
1. register for a synapse account
2. get a validated user profile
3. become a certified synapse user
4. submit an intended data use statement
5. agree to the data-specific conditions for use
6. download the data
40. 40
48,104 downloads from app store - first six months
16,585 participants consented
14,684 participants enrolled
9,520 agreed to ‘share broadly’
1,087 self reported a professional diagnosis of Parkinson
mPower
41. Standard
Structured Activities
Passive Measures
• High Friction (long, infrequent)
• Validated in large cohorts
• Basis for most publications
• Mild Friction (more frequent)
• Minimal validation
• Minimal Friction
• Not validated
mPower
54. mPower six month data release
9,520 unique participants
8,320 completed at least one task
198,639 total activities and surveys completed
1,087 self reported parkinson diagnosis
68. promote an ecosystem where
research is conducted
for others to consume
…
A second concern held by some is that a
new class of research person will emerge —
people who had nothing to do with the
design and execution of the study but use
another group’s data for their own ends,
possibly stealing from the research
productivity planned by the data gatherers,
or even use the data to try to disprove what
the original investigators had posited.
69. promote an ecosystem where
research is conducted
for others to consume
…
…
There is concern among some
front-line researchers that the
system will be taken over by
what some researchers have
characterized as “research
parasites”
70. There is concern among some front-line
researchers that the system will be taken
over by what some researchers have
characterized as “research parasites”“research parasites”