brandon pustejovsky - usaid - presentation at the chief data officer forum, government
TRANSCRIPT
Earthquakes, Economic Growth, and Ebola: How Open Data Is Shaping International Development
and Humanitarian Assistance
Chief Data Officer Forum - GovernmentJune 9, 2016
Twitter: @bpushed
“We partner to end extreme poverty and to promote resilient, democratic societies, while advancing our security and prosperity.”
Mission Statement:
2
3
Illustrative Data Collection / Data Storage Location:
4
Grants, contracts, cooperative agreements
Implementing partners
International development programs
Program data
Pre-Policy Data Flow:
Narrative Reports via Development Experience
Clearinghouse(dec.usaid.gov)
Aggregate data captured in corporate systems. - Raw
datasets generally not included in central systems.
5
The Challenge: Providing a trusted, timely, high-quality data commons to advance the discipline of international development.
USAID’s Open Data Policy
6
ADS 579
USAID Development Data
Partial Revision Date: 03/13/2015Responsible Office: M/MPBP/PERFFile Name: 579_031315
“The Contractor / recipient must submit to the Development Data Library (DDL), at www.usaid.gov/data, in a machine-readable, non-proprietary format, a copy of any Dataset created or obtained in performance of this award, including Datasets produced by a subcontractor at any tier.”
New procurement language for contracts, grants, cooperative agreements as of October 1, 2014.
https://www.usaid.gov/ads/policy/500/579
7
USAID’s Development Data Library (DDL) (www.usaid.gov/data) Current
Coming in Late 2016
8Genomic Data
Land Tenure
Food Security
Micro-Enterprise
Education
Health Services
Development Data Library
New Data Influx
9
THE VALUE OF OPEN DATA: Case Studies
Crop Price Data
Mobile App to Maximize Crop Income
Drought Data
Famine Supply Positioning
Pre-Quake Mapping (OpenStreetMap): Kathmandu, Nepal
Ebola: Mapping and Using Mobile Phone Technology in Liberia
12
Concluding Points1. Increased data sharing = increased insight (assumes data quality)
2. Increased data sharing = increased risk Responsible sharing may mean slower, more deliberate sharing New era for informed consent
3. Don’t let the perfect data policy be the enemy of the good data policy Example: Criteria for hosting data externally
4. Relationships matter.
Brandon PustejovskyChief Data Officer, USAID