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

@bpushedopendata@usaid.gov