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Policy Awareness & Development in Information Technology
Amit K. MaitraExecutive Doctor of Management (EDM)
Program, Case Western Reserve UniversityClass of 2006
Amit K. Maitra 2
CONTEXT
Global Environment Changing Technologies
NASA Space Station FREEDOM Program NASA Earth Observing Satellite Polar Ground Network
Innovations Transferable Information Exchange System (TIES)
Leadership Policy making Decisions Processes
Revolutionary moments Department of Homeland Security
Amit K. Maitra 3
Underlying Theme
Fully integrated information systems for a shared data environment
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Focus
Information, Access, Authorization, Emerging Technologies Data Accessibility, Commonality, and
Compatibility Design Data Dictionary Data Locale Security & Privacy Assurance
Amit K. Maitra 5
Global Environment
Characteristics Geographically distributed, dissimilar elements
of varying capabilities and responsibilities Data distributed to and redistributed among
system facilities, interconnected by both private and shared public communications networks
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Changing Technologies: NASA Space Station FREEDOM Program TMIS
International Partner Participation
Work Package Projects
Other Non-Work Package Centers
NSTS Office
30-Year Duration
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Changing Technologies: NASA Earth Observing Satellite Polar Ground Network
• Very complex, dynamic system accommodating SW growth and change, technology, and users● Data storage, processing, and transmissijon capacity
• Open system interconnection to provide data interchange between dissimilar elements within an open worldwide communication system● The network links various elements in the system – both the ground-based and space-borne components
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Innovations: Transferable Information Exchange System (TIES)
http://www.itu.int/members/index.html
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Leadership
• Policy Making• Decisions• Processes
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Policy Making
“Our success depends on agencies working as a team across traditional boundaries to serve the
American people, focusing on citizens rather than
individual agency needs.” ~ President George W.
Bush
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Decisions
“This Administration’s goal is to champion citizen-centered
electronic government that will result in a major improvement in the Federal government’s value to the citizen.” ~ The
President’s Management Agenda
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Business Reference Model (BRM)• Lines of Business• Agencies, Customers, Partners
Service Component Reference Model (SRM)
Technical Reference Model (TRM)
Busin
ess a
nd P
erfo
rmance
-Driv
en
Appro
ach
Performance Reference Model (PRM)
• Inputs, Outputs, and Outcomes• Uniquely Tailored Performance Indicators
.
Federal Enterprise Architecture (FEA)
• Service Domains, Service Types• Business and Service Components
• Service Component Interfaces, Interoperability• Technologies, Recommendations
Data and Information Reference Model (DRM)• Subject Areas, Classifications, Data Elements, • Data Properties, Data Representations
Inte
rop
era
bility
/ Info
rmatio
n S
harin
g(B
usin
ess-C
onte
xt D
riven
)
ProcessesThe Federal Enterprise Architecture (FEA) is a business and performance-based framework to
support cross-agency collaboration, transformation, and government-wide improvement
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Processes The Data and Information Reference Model, in particular, was created and validated in
partnership with several organizations, best practices, and leading practitioners
OMB Bob Haycock Department of Justice / GTRI Bob Greeves, Justice Industry Advisory Council (AIC) John Dodd XML Working Group Marion Royal, Co-Chair AIC Emerging Technologies Subcommittee Brand Niemann Logistics Management Institute (LMI) Mark Crawford Geospatial Community (GIS) Eliot Christian Health and Human Services (HHS) Melissa Chapman (CIO) Library Community Susan Tarr Records Management / NARA Reynold Cahoon US Patent and Trademark Office (PTO) Holly Higgins
Organizations, Practitioners:
Best Practices Followed / Leveraged:
ISO 11179 UN / CEFACT / ebXML Universal Business Language (UBL) OASIS / e-Gov Initiatives
Meta Object Facility (MOF) Resource Description Framework (RDF) W3C
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No common framework or methodology to describe the data and information that supports the processes, activities, and functions of the business
No definition of the handshake or partnering aspects of information exchange
Existing systems offer diffused content that is difficult to manage, coordinate, and evolve
Information is inconsistent and/or classified inappropriately
Without a common reference, data is easier to duplicate than integrate
No common method to share data with external partners
Limited insight into the data needs of agencies outside the immediate domain
Data and Information context is rarely defined Stove piped boundaries, no central registry Lack of funding and incentive to share Data sensitivity and security of data New laws/issues result in continuous adding of
databases that can not share data
Primary Issues and Information Sharing Barriers
The Current Situation: The Federal Government is less than efficient in performing its business and meeting customer needs
due to data sharing inefficiencies caused by stove-piped data boundaries
Stove-Piped Data Boundaries“As Is State”
Have C
reate
d
HHS
INDUSTRY
Illustrative
Illustrative
CDC
DHS
TSA
USDA
DOI
ENERGY
LABOR
FDA INS
Denotes data and information sets within agencies.
Amit K. Maitra 15
These inefficiencies have created enormous bottlenecks and problems in agencies’ ability to effectively describe, use, and share
information
Unclear knowledge of who to contact for specific data
Increased burden on finding and accessing the right data
Increased delays to satisfy citizen and stakeholder requests
Increasing costs to manage and integrate data
Increased corruption, sensitivity of data
Decreased ability to interoperate
Repeated new requests to collect the same data
Limited understanding of what data exists or where it is located
Has Le
d T
o
Stove-Piped Data Boundaries“As Is State”
Inefficiencies
Hard
er to
manag
e p
rivacy
/secu
rity issu
es
HHS
INDUSTRY
CDC
DHS
TSA
USDA
DOI
ENERGY
LABOR
FDA INS
Illus
trativ
eIllus
trativ
e
Denotes data and information sets within agencies.
Amit K. Maitra 16
The Solution: The Data and Information Reference Model (DRM)
Subject Area
Data Object
DataProperty
DataRepresentation
DataClassification
The DRM provides:
A framework to enable horizontal and vertical information sharing that is independent of agencies and supporting systems
A framework to enable agencies to build and integrate systems that leverage data from within or outside the agency domain
A framework that facilitates opportunities for sharing with citizens, external partners and stakeholders
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The DRM supports each of the other FEA Reference Models
Data and Information Reference Model (DRM)
Business Reference Model (BRM)• Lines of Business• Agencies, Customers, Partners
Service Component Reference Model (SRM)
Technical Reference Model (TRM)
Performance Reference Model (PRM)
• Inputs, Outputs, and Outcomes• Uniquely Tailored Performance Indicators
• Service Domains, Service Types• Business and Service Components
• Service Component Interfaces, Interoperability• Technologies, Recommendations
• Maps data to inputs and outputs that support Performance Outcomes
• Maps data to processes by Lines of Business
• Maps data to Service Components by information flows
• Maps data to the infrastructure to plan for interoperability
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... and “inner-connects” the FEA to provide a targeting framework to support the identification, integration, and implementation of cross-agency, cross-governmental information sharing initiatives
Health and Human Services (HHS)
(Federal Health Architecture)
States
Industry
DHS
FDA
CDC
PRM
BRM
SRM
TRM
DRM
Public Health Monitoring- Infectious Diseases-
Outbreaks reported by Public Health Authorities
Stockpiles, Research Data
Increased threats of bio-terrorism
Disease Outbreak Data
Adverse Event Reporting
Web Services Web Services
Federal Enterprise Architecture (FEA)
FEA Reference Models
Enterprise Architecture
Conceptual
Conceptual
Amit K. Maitra 19
The DRM provides for increased business performance through efficiency gains by reducing the data burden for both the business manager and the technologist
Government-Wide Facilitates open / standard-based
interoperability Global identification of security and privacy
issues and solutions Supports electronic exchange and
interoperability of information Standards for Electronic Form design and
generation Facilitates electronic reporting, and G-to-G,
B, C interaction Categorization / integration of data along
functional lines of the business Provides clear data ownership and
stewardship
Agency-Specific Consolidated, standard data for Enterprise
Resource Planning Supports the discovery and use of existing
data components Increased efficiency in data storage and
access to/retrieval of data Facilitated implementation of GPEA and
PRA Compliant with OIRA requirements
Business Benefits Technical Benefits
Government-Wide Common data vocabulary and data
standardization to build integration adaptors and systems
Consistent means to categorize and classify data and information
Electronic registries and repositories for data components
Ability to create cross-agency, interoperable data architectures
Agency-Specific Facilitates the design of Target Enterprise
and Solution Architectures Controls for proper protection of data can
be defined Facilitated systems integration and
interoperability Re-use of data components as opposed to
duplication
ComplementaryBenefits
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What the DRM is, and what it isn’t…
A framework to support the classification of data and information in respect to how it supports the lines of business and functions within the BRM
A registry that provides multiple levels of granularity to satisfy the re-use of data schemas from multiple stakeholder views
A collection of interrelated (or woven), context-driven XML Schemas A framework that builds upon existing XML Schemas, Data Definition Libraries, and
initiatives that exist across the Government (e.g., UN/CEFACT, UBL, ISO 11179, OASIS, current e-Gov initiatives)
What it is:
What it isn’t: A government-wide data model, or entity relationship diagram (ERD) A replacement for ISO 11179 or other government-wide initiatives such as OASIS,
UN/CEFACT, UBL, ebXML, etc An all-encompassing mark-up language that describes the Federal Government (e.g., GOVML)
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BRM Function & Sub-Functions
DataClassification
Data Object
Data Property
Definition Ownership Stewardship(defines) (owns) (manages)*
Agencies/ISO* Agencies/ISO*
Agencies/ISO* Agencies/ISO*
FEA-PMO FEA-PMO FEA-PMO/AIC
AIC/AgenciesAIC/Industry/ Agencies/ISO
* Thousands of data elements have already been defined within ISO 11179 that the Federal Government can adopt / take advantage of
AIC/Agencies
Agencies/ISO*
Agencies/ISO*
Conceptual
Conceptual
DataRepresentati
on
Data Type
Value Domain(Namespaces)
ISO ISO ISO
Agencies/ISO*Agencies/ISO*Agencies/ISO*
Business Subject Area
FEA-PMO/Agencies Agencies Agencies
Responsibility for the creation and ongoing maintenance of the DRM, Subject Areas, Business Objects and Data Components /
Elements rests with various organizations...
Amit K. Maitra 22
MODEL DRIVEN ARCHITECTUREMODEL DRIVEN ARCHITECTURE
A virtual representation of all physical data sources:
- Applications are to be decoupled from data sources
- Details of data storage and retrieval are to be abstracted
- Are to be easily extended to new information sources
Revolutionary Moments: The Mandate
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The Structure
META OBJECT FACILITYMETA OBJECT FACILITY
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The Tools
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Department of Homeland Security and Federated Data Management Approach
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The Result: Interagency Information Federation
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Paradigm Shift
MDA is fundamental change MDA rests on MOF It is the best architecture for integration It shifts data architecture from Entity
Relationship Diagramming (ERD) to a Business Context (Interoperability/Information Sharing)
Business & Performance Driven ApproachBusiness & Performance Driven Approach
Amit K. Maitra 28
Concerns
To what extent the government agencies, Customers, Partners are willing to participate along the Lines of Business (LOB), thereby underscoring the importance of working toward a common goal: Collective Action IAW National Security/National Interests criteria
These need to be tested and validated against uniquely tailored performance indicators: Inputs, Outputs, and Outcomes