Slides from the ICT4D Principle 6 Event on Feb 10, 2015. [http://tinyurl.com/ict4dfeb10]

3. GROUND RULES
For Remote Participants:
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• Jennifer Burrill will be supporting you online during the event today.
• During Q&A, post any questions in the chat box. Jennifer will ask
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For Live Audience:
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Please use a microphone to make questions and comments so
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• Restrooms are located just outside of the front door. You will need
a key to access the restrooms. Please get the key at the front desk.
• If possible, please take side conversations outside of the room.
• Please silence your phones.

4. K. SCOTT HUBLI
DIRECTOR OF GOVERNANCE PROGRAMS// NATIONAL DEMOCRATIC INSTITUTE
Welcome from NDI
Building International Norms of Openness

5. A call on the world’s
parliaments to make
concrete commitments
to enhancing
openness,
transparency and
citizen engagement

8. ру́сский язы́ к
English
Português
украї́нська мо́ва
Deutsch
Lietuviškai
한국어
Español
議會開放宣言
‫العربية‬
Bosanski/Hrvatsko
m/Srpski
Čeština
‫دری‬
Ελληνικά
Français
Crnogorski Jezik
ह िंदी
Język Polski

9. LEGISLATIVE OPENNESS
WORKING GROUP
www.opengovpartnership.org/groups/legislative

11. Partnerships
Donor
International Implementer
Local Subgrantee
Recipient

12. Partnerships
International Norms and
Standards
Community of National CSOs
Thought Leadership
Convening Power
Network Curation
Knowledge and Tool
Creation
Joint Advocacy

13. THANK YOU!
Scott Hubli
shubli@ndi.org
NATIONAL DEMOCRATIC INSTITUTE
GOVERNANCE

14. Open Standards

16. Open
Standards:
OpenHIE- a
standards based
approach
Michael Drane
Dr. Carl Leitner
Donna Medeiros
February 10th , 2015

17. What do we mean by standards?
• Two basic types:
 Terminology- harmonization of attributes
including providers, services, diagnostics
 Interoperability- standard profiles defining
how information is accessed or shared.

18. Open Standards means Open Access
Standards = Interoperability
• Avoid vendor / software lock-in
• Independently swappable software components
• Reduces barriers to participate
Community of Communities
• Each community focuses on one component of HIS
• Come together to ensure data exchange and
interoperability of systems
Why open standards?

19. No more silo’d systems!
Why open standards?

20. Our Informatics Principles & Practices
1. Design with the user
2. Understand the existing ecosystem
3. Design for scale
4. Build for sustainability
5. Be data-driven
6. Use open standards, open data, open
source and open innovation
7. Reuse and improve
8. Address privacy and security
9. Be collaborative
more information: http://www.ict4dprinciples.com/

22. Spread and Use of iHRIS Software

24. http://ohie.org

28. The OpenHIE Model

29. Client Registry
An enterprise
master patient
index (EMPI), or
Client Registry
manages the
unique identity of
citizens receiving
health services with
the country – “For
whom”

30. Health Worker Registry
A Health Worker
Registry is the
central authority for
maintaining the
unique identities of
health providers
within the country –
“By whom”

31. Facility Registry
A Health Facility
Registry serves as a
central authority to
uniquely identify all
places where
health services are
administered within
the country –
“Where?”

32. Terminology Service
A Terminology Service
serves as a central
authority to uniquely
identify the clinical
activities that occur
within the care delivery
process by maintaining a
terminology set mapped
to international standards
such as ICD10, LOINC,
SNOMED, and others –
“What?”

33. Shared Health Record
A Shared Health Record
(SHR) is a repository
containing the
normalized version of
content created within
the community, after
being validated against
each of the previous
registries. It is a collection
of person-centric records
for patients with
information in the
exchange.

34. Health Management Info System
A Health Management
Information System (HMIS)
is a repository containing
the normalized version of
aggregate-level content
created within the
community, after being
validated against each of
the previous registries. It is
a collection of indicator-
centric records for cohorts
with information in the
exchange.

35. Health Interoperability Layer
A Health Interoperability Layer receives all
communications from point of service
applications within a health geography, and
orchestrates message processing among
the point of service application and the
hosted infrastructure elements.

36. Country Leadership & eHealth Capacities
eHealth Strategy and Policy Framework
eHealth Stakeholder Leadership
ICT Infrastructure
Health Information Technologists
eHealth Literacy for Health Workers
Global, Regional & National eHealth Partnering

37. eHealth systems mHealth systems
Health Worker Registry
Health
Worker
Registry
Professional CouncilsPre-Service and In-Service Training
Ministry of Health
(plus other relevant Ministries:
Education, Public Service, etc)
Local Government
FBO
FBO
Assoc
NGO
Assoc
For
Profit
Assoc
FP
FBO NGO FP
FBO NGO FP
NGO
Health
Information
Exchange

39. Mobile Health worker Electronic
Response and Outreach (mHero)
• Free SMS mobile phone based communication system
• Support MOHSW, health workers and community
health workers
• Rapid development with support from a consortium of
global partners
• Builds of existing government / partner systems
• Initial deployment anticipated for Guinea, Liberia and
Sierra Leone.

40. Open Architecture
health
worker
data
health
facility
data
OpenHIE
Registry
OpenHIE
Interoperability
Layer
health
worker
mobile
phones
mHero builds on existing government technologies (DHIS2, iHRIS) to link them
with the Unicef’s mobile platform (RapidPro) using OpenHIE technologies. Using
open source standards and approaches creates an extended national
collaborative ecosystem that other solutions can link into.
RapidPro

41. Partners

42. Community Outreach, more
Information
Addressing: documenting best practices, use cases, case
studies, success stories, standards, sharing
• Community Involvement and Outreach:
– Establishing, supporting real world Use Cases
– Engagement with implementing Partners working at
national and subnational levels
– Identification of relevant, especially high impact, high use,
applications
– Project level implementation coming to life
• Standards (SDOs) and WHO – standards based approach
- Guidelines, consumption

43. Public Health Standards Dev. Orgs (SDOs)
Defines standards for reporting of administrative data (i.e. claims)
Defines message ‘Profiles’ that integrate multiple base standards
Defines concepts, data and processes for health and ICTs
Defines base standards and data models for clinical messages
Defines standards for public health vocabularies/terminology
Defines standards for bio-surveillance reporting (i.e., syndromic surveillance)
Defines clinical terminology standards
Defines standard codes for tests, measurements and observations

44. Future Activities
• Project level implementations including
Philippines (Aehin), DATIM
• Upcoming events: symposiums, conferences
• Work in TA and applying Standards
• Please come onto the Community of
Practice! Weekly calls and involvement
http://ohie.org

45. Thank you!
Michael Drane- mdrane@intrahealth.org
Carl Leitner- cleitner@intrahealth.org
Donna Medeiros -ddmedeir@regenstrief.org

46. Open Data

48. USAID’s Open Data Policy
ADS 579 – Development Data
Futures Group
February 10, 2015

49. “We partner to end extreme poverty and to promote resilient,
democratic societies, while advancing our security and prosperity.”
Mission Statement:
4
9

50. 5
0
Illustrative Data Collection / Data Storage Location:

51. “Publicly available data that is structured in a way that enables the
data to be fully discoverable and usable by end users.”
Open Data:
And most importantly . . . Public
See OMB Open Data Policy – Managing Information as an Asset (M-13-13), May 9, 2013
=
Accessible: Convenient, non-proprietary, machine-readable formats
(e.g. CSV, JSON, XML)
Described: Fully documented; limitations and processing instructions explained
(e.g. data dictionaries, code books, tutorials)
Reusable: No restrictions on use
Complete: Highest level of granularity practicable
(e.g. latitude / longitude, individual survey responses)
Timely: Made available when data is of greatest use and updated regularly
Managed Post-Release: Point of contact assigned to continue updates and respond to queries

52. 52
THE VALUE OF OPEN DATA
USG
USAID
Your
Organization
GIS Data
Weather Data
Drought Data
Crop Price Data
Mapping
Software
Handheld
Weather Apps
Famine Supply
Positioning
Mobile App to
Maximize Crop Income
Be part of the next
innovation . . .

53. 5
3
OPEN DATA: GLOBAL CONTEXT
United Nations - Data Revolution Advisory Group
• August 2014 - To “close data gaps and to strengthen national statistical
capacities” in support of the post-2015 development agenda
International Aid Transparency Initiative
• November 2011 – USG as signatory, to “improve the transparency of
aid, development and humanitarian resources” via a common standard
for the publication of aid information (via www.foreignassistance.gov)
Open Government Partnership
• September 2011 – USG as member, to “foster a global culture of open
government that empowers and delivers for citizens.”

54. 5
4
OPEN DATA: U.S. CONTEXT
“My Administration is committed to creating an unprecedented level of openness in
Government. We will work together to ensure the public trust and establish a
system of transparency, public participation, and collaboration.”
- President Barack Obama
Memorandum on Transparency and Open Government
January 2009
“To promote continued job growth, Government efficiency, and the social good that
can be gained from opening Government data to the public, the default state of
new and modernized Government information resources shall be open and
machine readable.”
- President Barack Obama
Executive Order -- Making Open and Machine Readable the New Default for
Government Information
May 2013

55. 5
5
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.

56. 56
USAID - Funded
Data
Access
Challenges
Ownership
Questions
Specification
of Deliverables
Definition
of Data
Business
Processes
Joint
Funding
Data
Quality
USAID’s Open
Data Policy
Science
Technology
Innovation
Partnership
USAID
Investments

57. August 2013
Draft
Procurement
Language
September
2013
Establish Data
Governance
November 2013
Create
USAID.GOV/DATA
January 2014
Formalize
Working Group
February 2014
Begin Drafting
Policy
March 2014
Establish
Business
Process for
Data Clearance
April 2014
Policy
Socialization
and FAQ
May 2014
Agency Policy
Clearance
Begins
June – July
2014
Policy
Revisions
August –
September
2014
Policy Final
Clearance
October 2014
Policy Takes
Effect
November 2014
Implementation
and
Socialization
USAID OPEN DATA POLICY MILESTONES
January 2011
USAID
Evaluation
Policy
May 2013
Open Data
Executive
Order and OMB
Policy

58. 5
8
WHAT
USAID’s Open Data Policy:
1. Defines USAID’s Data Governance Structure
o Information Governance Committee (InfoGov). Executive level
committee to ensure Agency-wide buy-in and coordination.
2. Establishes Data Submission Mechanism via the
Development Data Library (DDL)
o Repository of USAID-funded data at www.usaid.gov/data
3. Outlines Standard Data Clearance Process
o Reviews for privacy, personal security, and operational
sensitivity, etc.
4. Creates Data Stewards in Every USAID Operating Unit
o Local policy expert; provides guidance on data clearance.

59. 59
HOW
1. Procurement Language
o Effective for contracts, grants, cooperative agreements issued on or
after October 1, 2014:
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.
2. CORs / AORs Responsible for Ensuring Data Submission to DDL
o Should include data as a deliverable in contracts whenever possible
3. Data Stewards Guide Operating Units on Policy Implementation
o Continue socializing the open data mandate
o Specialized training

60. To increase the application of
science, technology, innovation
and partnerships to achieve,
sustain and extend the agency’s
development impact to help end
extreme poverty.
Role of the U.S. Global Development Lab
60

61. How Do We Connect with Data Producers and Users?
Challenges:
- Policy and logistical complexities of opening data.
- Cataloging the breadth of the data we have.
- Understanding the audience for our data.
Approach:
- Need-finding interviews with our audiences.
- Developing guidance on how to make data useful to our audience.
- Creating opportunities to connect people who generate data and
those who use data.
61

62. What Does Our Audience Want?
• What doesn’t matter: If the data are good, there will be an
audience for them.
• …but standards do: Data become valuable when they can be
combined with other information.
• Data producers and consumers are not aware of mutual
interests.
– Much of the research/journalist community isn’t aware
USAID has data that would interest them.
– Data generators are disconnected from researchers: “We
know the broad stakeholders but we’re not able to figure out
who would want our data or how to get it to them.”
• USAID is seen as a source for guidance on how to manage
knowledge, establish data pipelines, and create standards for
data collection.
62

63. What makes data useful?
• Consistency: “The largest problem isn’t whether or not data are
open, but whether or not they are standardized and
comparable.”
• Explicit relationship between data: Unique and consistent IDs to
connect data
• Scale: Comparable data across multiple countries
• Uniqueness of the data: Data difficult/impossible to access any
other way.
• Documentation: “How the data are collected is the most value
added but is the hardest part.”
• Timely: Recent, ideally real-time data.
• Easily accessible: Web-based interface where the data can be
downloaded at the drop of a hat.
63

64. Public Engagement: Hackathons
Hacking for Hunger
• USAID
• Palantir
• Grameen
• 28,000 geo-located soil samples from Uganda (Grameen)
• Combine with soil types, population, income (Palantir)
• Develop a system to track the outbreak of crop and livestock
diseases
64

65. Public Engagement: Hackathons
Next Up:
Open Data Day: 21 February at World Bank
Spring Hackathon at Open GovHub
1. Have experts available to
provide context.
2. Have a clearly defined
entry point for non-experts.
3. Mix multiple viewpoints.
Ingredients for Success:
65

66. Connecting Data Demand with Data Supply
- We identify high priority datasets, focusing on those that are
directly relevant, interesting, and useful for the broader community.
- Applicants provide a proposal for how they would use those data.
- We open up those data and help create a community to collaborate
on those data.
Provide Your Input:
http://bit.ly/AIDdatagrant
Open Data Grant
66

67. 67
NEXT STEPS
1. Internal socialization / change management across all USAID
operating units
2. Increased public engagement, including policy feedback
3. Ongoing improvements to the Development Data Library
4. External engagement, including implementing partners
Policy Announcement: http://1.usa.gov/1tF8COg
Policy: http://1.usa.gov/1zi21Mc
Fact Sheet: http://1.usa.gov/1DXSrMj
REFERENCES

68. 68
How Can I Contribute to this Discussion?
StackExchange (general questions):
http://bit.ly/1FSzL3t
GitHub (technical questions):
http://bit.ly/1DqewSB
Email:
opendata@usaid.gov
Data Grant Survey:
http://bit.ly/AIDdatagrant
Brandon Pustejovsky
Chief Data Officer
Laura Hughes
Open Data Specialist
Scott Depies
Open Data Specialist

69. Open Source

71. SOFTWARE AS A
PUBLIC GOOD

72. CHARACTERISTICS
OF OPEN SOURCE
SOFTWARE

74. BENEFITS FOR ICT4D
PROJECTS

75. CHALLENGES FOR
ICT4D PROJECTS

77. SUCCESSFUL
APPROACHES

78. DISCUSSION

79. Open Innovation

93. BREAKOUT SESSIONS
Open Data:
Moderator: Roy Miller, USAID Information Architect
Room: Africa (front of the room)
Open Innovation:
Moderator: Hallie Applebaum
Room: Asia (middle of the room)
Open Standards:
Moderators: Carl Leitner and Michael Drane
Room: Latin America (back of the room)
Open Source:
Moderators: Chris Spence and Andrew Hunt
Room: Win Room (office behind the back of the room)
Optional Breakout session for remote audience:
http://tinyurl.com/OpenStandardsBreakout
*After the breakout session, return to the Go2Meeting Conference line
Default Breakout session for remote audience:
Just stay on the conference line

94. CLOSING REMARKS
Save the Date
Next ICT4D Event
Principle 7 – Reuse and Improve
March 24 in San Francisco

95. www.futuresgroup.com
www.facebook.com/FuturesGroup
www.twitter.com/FuturesGroupGbl
95
Thank you