When one section becomes sufficiently detailed, split into its own pub.
Merge w/ shorter use cases (doc)
C3.AI COVID data lake - 26 datasets, 2 versioned
Kaiser Family Foundation: Social Distancing Policies
UW Institute for Health Metrics: COVID-19 Projections
COVID-19 wikiproject on WD
GovLab Data Collaboratives - each a focused repo
Details: Layer - Police accountability
Initiatives on abuse + killings:
Police Data Initiative: Complaints dataset (ZV intro)
Police Data Accessibility: data project (for now: P reports)
Avoid duping effort - Campaign Zero (scorecards)
CPDP (Chi only) - extend nationally
Goal - Aggregate data, present it, assist others in using it
cit oversight boards, researchers, visualizers
Workflow - FOIA + request processing; site scraping; partners?
Need - Clear license
What Qs to answer? not clear so far.
Current team: Reddit Privacy… few criminologists.
want to post an article to reach out
Fatal Encounters (grassroots, under-appreciated, slow since ‘19?)
WaPo - Fatal Force (public data, paywalled summary)
Guardian - The Counted (2015-16 only)
Help each group frame their question. Center this in the U of related Qs.
Chat w/ PDAP:
Ways to work together: DVaughan to post notes to their GitHub
~ building a catalog of existing projects (local communities, different campaigns, different approaches, different classes of data)
~ feedback on setting up a 501c3
~ publishing essays + visuals (PubPub community?)
~ describing the schemas of data that you are gathering, and the specific questions you are answering w/ that data
~ defining potential partners w/ data or tools to align (like CPDP)
~ quick-starts w/ a fiscal sponsor (like Tides)
Forms + workflows for receiving and cataloging I³ data .
Design of registry pages, on R1 and on Dataverse
Including: fanfic, designs, and implementation
Map of datasets widely referenced in this research
Where in the blooming process they are
What does it mean for a dataset to bloom + be truly accessible?
Dialogue w/ current & potential contributors: templated case studies
Designing and keeping to a roadmap.
see Macduff, and astronomy data brokers
Science Bounty — active interest science paper breakdown + assessment
3 stages: deconstruction, reconstruction, reproduction
Each a source of packages, contributing to R1.
UL case study? schemas for the above
the path to sci discovery is paved with data
Reports from bounty hunters: literature themselves (PP?)
‘to what degree can truth be truth’ ?
Method: highlighting + labelling text
Ontological approach: from ad-hoc to Barry Smith
Essay: How big industry is gaming peer review (Cmpl)
—> the case for indep. auditing/repro service
—> digital office of reproducibility ?
(look across abuses)
Sources: a set of scrolls from the Dead Sea area.
Core works: 981 MSs from 11 caves in the Qumran Caves, dating from 3c BCE - 1c CE. Most held at the Shrine of the Book in Israel
Archives: a few museums, a few digitizations (only 5 complete?), many transcriptions.