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Enterprise Data Management and NIEM “Positive Impacts on Information Sharing”

December 2010

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Agenda

• Introductions and Level Set• Enterprise Data Management and NIEM at DHS• How EDM and NIEM support agency EA and

Segment Architecture Processes• Break• How EDM and NIEM align with Information

Sharing Environment • EDM Best Practices and the Data Management

Working Group – How Data SMEs Collaborate• Roundtable

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You are not alone in this world

• Who is here – data architects and SMEs, data managers, and interested parties

• Nuggets from Forrester Report“What is less understood by Mission areas than business

and data architecture – technical and application architectures are the focus of most EA programs”

• Insights from Gartner report“Data Management will fail to yield expected results unless

organizations adopt rigorous data governance and improved data integration planning”

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So why does Enterprise Data Management matter?

•Critical

data questions you may be

interested

in:

•Who manages this data?

•Where is it stored?•Who can access this data?

•How accurate is it?•How recent is it?•How trustworthy is it?•How is this data related to other data elements in the enterprise—i.e., what is the associated context?

Enterprise Data Management is critical to the data architecture component of EA Frameworks and drives improved understanding and trust of data sources

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So let’s talk about Enterprise Data Management and NIEM at DHS

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DHS Enterprise Data Management Office

Enterprise Data Management (EDM) MISSION

Promoting collaboration to achieve efficient management of

Data and

Information

Find -Understand -Access -Trust -Use -Share -

In support of the

DHS Mission

all data collected, created, used, maintained, shared, stored and disposed by DHS.

Fostering innovation and elevating best practices to strengthen and enable the Homeland Security community to:

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Enterprise Data Management Core Values

• Excellence – providing knowledge, trust and

expertise

• Collaboration – working together we can make a

difference

• Customer Service – voice of the Customer is

the most important

• Recognition – give credit for good work and ensuring best

practices are elevated

• Team Building – the community is only as strong as our weakest

link

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What DHS Enterprise Data Management is

Enables effective enterprise data management, information sharing, and data reuse across agencies. It utilizes the FEA Data Reference Model (DRM) Framework

The DHS DRM is a framework for the visualization, discovery and reuse of enterprise data architecture assets

Provides guidance to Components

Allows for bi-directional alignment of artifacts

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Enterprise Data Management Concept of Operations (ConOps)

• Establishes what it means to

“operationalize” the DHS Enterprise Data Management (EDM) and DRM - to enable

information discovery, sharing, exchange, and

reuse across DHS

• Describes Governance, Architecture,

Information Sharing, and Performance

Measurement practice areas

• Identifies the general types of resources

required to be obtained through the

budget cycle or redirected

• Sets the scope and provides a high-level roadmap for DHS and

its Components to mature data

management practices to attain a target state

in which data and information sharing

and reuse are enabled via the EDM framework

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DHS Enterprise Data Management Roadmap

EDM Concept of Operations Roadmap 10/01/2009

Information Sharing Goals

Data Quality & Data Governance

ConOpsv 2.0ConOps v1.3

ConOps v1.1

EA Information Repository (Requirements & Development)

Data Management Tenets

Introduce Stewardship

Model

Identify standard

processes

Refine Stewardship roles & responsibilities

NIEM & IEPDDevelopment

SELC Touchpoints

Alignment with Touchpoints

Modeling, Methodologies &

Alignments

Reporting & Taxonomy

Requirements

Information Exchange & ISAA

Requirements

Modeling Standards and Tools

Data Stewardship Framework

Value & Performance

ConOpsv2.1

Shared Data Lifecycle

Investment & Performance Reviews & Dashboards

Functional Area LDMs & Trusted Data Sources

Data Management Summits & SMC Data Workshops

Data Asset Catalog Requirements

DMP Template

Performance Management Framework HLS ECDM Requirements

Business Reference Model Requirements

HLS Systems Requirements

Completed In Progress FY10 Future

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So how are you doing your information sharing and getting everyone to talk in

the same terms?

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NIEM Overview

In addition to providing guidance and support for all aspects of data management and information sharing within the DHS mission, …

Since September 2008, the Enterprise Data Management Office has been serving as the lead Program Management Office of the National Information Exchange Model (NIEM) program for the U.S. Government and its State, Local, tribal and private sector partners.

“Common Language” for Information Exchange

Components of NIEM data model Repeatable, reusable process for business users to document information exchange requirements

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DHS and NIEMInformation Sharing

• DHS Adoption has gone from 0% to 40% of major IT programs, forecasted to be 60% by FY11

• NIEM projects are in development with over 90% of Components

• Measurement of Adoption and Project progress tracked on the CIO Enterprise Data Management Scorecard

– FY08 thru FY10: 30 NIEM projects completed

– FY11: 40-50 NIEM Projects projected

• Mandated within the HLS Enterprise Architecture for Common or Shared [SOA] Services on the Enterprise Bus

• Mandated by PM ISE’s implementation of Common Terrorism Information Sharing Standards (CTISS)

• Mandated by OMB for cross agency sharing and supported by HHS, USDA and Treasury

• DOJ and DHS grant language for State and Locals includes NIEM conformance

• Several Fusion Center RFP’s have been released requiring NIEM conformance

Component Project Name

CBP

• Federal Motor Carrier Safety Administration• Enforcement (EID) to Seized Assets and

Catalog System (SEACATS) Sharing• US Census – Entry Summary• US Census – Business Partner• NCIC/NLETS queries• Border Patrol Tracking System• Blue Force Tracking (SBI P.25)• U.S. Passport Query Interface

USCIS • Person Centric Query• Verification

FEMA• Exercise Scheduling• Improvement Plan

US-VISIT • US IDENT to CJIS IAFIS

S&T • Hospital Availability Exchange

DHS• Core Biographic Elements for Screening and

Immigration• Terrorist Watch Listing (TWPDES 1.2b)

ICE• Law Enforcement Info Sharing Services (LEISS

v1.0 & LEISS v2.0)• Removable Alien Query (RAQ)

DNDO • Radiological / Nuclear Detection

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Improving Information Sharing through the use of data models • The Logical

Data Model (LDM) is the source for identifying what data types are

available for sharing

within an organization or mission

area.• By

incorporating data entities

from the logical data model into the information

exchange model,

exchange modelers can

assure stakeholders

that exchange elements are in fact available

and being derived from

common source.

• If a new information exchange

requirement develops then the LDM must be

updated to support the new requirement

• The Information Sharing landscape

provides a complete picture of a component’s data environment

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Logical Data Model and NIEM Exchange Model Integration

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How EDM and NIEM fit in DHS EA and Segment Development Processes?

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DHS Enterprise Architecture

• DHS Segment

Architectures

• Benefits Administrati

on • Domain Awareness

• Law Enforcemen

t

• Incident Managemen

t

•Screening

•Securing

• Enterprise Mission Services

• Enterprise Business Services

• Enterprise Information

Technology (IT) Services

The Functional Areas serve as the underlying structure, and neutral lens, for planning and assessing performance of DHS resources and capital investments.

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DHS Segments Information Landscape

DHS Logical Data Model

DHS ConceptualData Model

Incident Management

Law Enforcement

Domain Awareness

Securing

Immigration Management

Screening

Function Area logical data models

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EDM Support to DHS Segment Architecture Development

• Data Architecture Templates and planning documents

• Data and information sharing artifacts in System Engineering Life Cycle (SDLC)

•Data and information sharing artifacts in Segment Architecture planning processes

•Data management wording in ITAR (acquisition) and SOW language

DHS Data management plays a significant role in identifying the architectural influences that data and information play in developing solutions that meet mission needs. So how did we do that?

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Support to DHS Enterprise Architecture Development

• EDMO drives the information definition and management support required by Enterprise Architecture frameworks to meet mission needs

– Identifying information sources, information exchanges, and data services for the information sharing environment

– Driving data source and information exchange reuse for new

investments by mandating inclusion in the EA Information Repository

– Support to Investment Programs by reviewing their data architecture plans and providing feedback where appropriate and needed

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Support to DHS SOA Deployment

• EDMO drives the use of NIEM for service development– This includes required use of

NIEM for information exchange definitions

– Promoting common exchange definition and reuse to reduce development and maintenance costs

• NIEM has traditionally been about the definition of the payload but EDMO has been a leader in looking at the message header and package requirements from a data perspective. Common header development is moving forward as seen in the timeline

New strategy: “Interoperable Component ESBs”Original strategy: “One DHS ESB”

JAN 06 JAN 07 JAN 08 JAN 09

Sep 05DHS Team 5

Standards & MethodsFocus Group

initiates SOA guidance

Oct 07DHS NIEM Blue Team

People ScreeningMessage Header WG

harmonization ofDHS screening headers

Mar 08DHS NIEM Blue Team

People ScreeningMessage Header WG

publishes Screening MessageHeader Guidance Report

Jun 08DHS NIEM Blue

Team and S2AWGNIEM and SOA experts

join to develop fullheader framework

Jan 05Original

DHS Team 5defines the need for

SOA at DHS

May 06DHS SOA

Tactical Focus Groupinitiates SOA

technical framework

Mar 07DHS EAB & EACOE

approve SOATechnical Framework v1.0

into the HLS EA

Jan 06DHS Team 5 CIOs

approve DHS Team 5SOA Guidance

Oct 09DHS SOA Enterprise

Message HeaderFramework Team

piloting of cross-ESBinteroperability and audit-ability

Jan 09DHS SOA Enterprise

Message HeaderFramework Team

review alpha-verstion ofthe header framework

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EA Information Repository (EAIR) and Data Reference Model Support

• A centralized repository that

enables the search, discovery, and reuse

of Enterprise Architecture assets used by DHS and its

component organizations

•It supports DHS alignment to the

Federal Enterprise

Architecture (FEA) Reference

Models

• Metadata for each data asset and

information exchange gives both business

and technology users the information they require to determine

if this is a reuse candidate

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DHS Information Sharing Environment (ISE)

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EDM Best Practices and the Data Management Working Groups –

How DHS Data SMEs Collaborate

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EDM Waves of Change

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Waves of Data Management Change

Data Management Maturity is a fundamental change in how organizations address their vision and management of information – going from reactive to optimized

The wave concept has been around for some time and is based on the idea that each new wave builds on the momentum generated by the previous wave

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Implementing Data Management Maturity

• Collaborative Working Groups - DMWG / NIEM Blue Team

• DHS Best Practices– Data Management and Information Sharing Documents

and Guidance– EDM Balanced Scorecard – Data Management Summits– Mission Specific Data Workshops– Data Management Office guidance for setting up and

operating with the Program or Component

• DM subject matter expert participation

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Collaborative Working Groups

•EDMO Leader

ship

• NIEM Blue Team is

composed of information exchange

subject matter experts from

each organization

• Data Management

Working Group is composed of

data subject matter experts

from each organization

from with DHS

•DMWG Focus Teams drive best practice development and subject

matter guidance

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Data Management Guidance Documents

•Information Exchange Package Documentation

• Data Modeling Methodology Guidance

•Data Stewardship Framework

•Data Management Plan

• Performance Management Framework

•Information Flow Modeling Guidelines

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Support to DHS Enterprise Architecture Deployment

•LDM and NIEM integration•LDM development•Information Flows

• EA Planning

•Data Standards & Processes•Metadata development•Master Reference Data

• Data Governance

& Stewardship

•LDM and NIEM integration•Access agreements•Information exchange documentation

•Information

Sharing

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Improving Information Sharing through the use of Mission Specific Data Workshops

• Data workshop

s with mission

area subject matter

experts, i.e.

Enforcement

Officers, Intelligen

ce Analysts

•Goal is to identify

their information needs

and sources of data

necessary for

supporting their mission efforts

• Utilized use

cases to documen

t the processe

s each used for gatherin

g information and making

decisions

•Generated information flows to

assist each

group in recognizin

g what informatio

n was available and what was not

being used by each

area

• Utilized EA Information Repository to identify what data

sources are available to

answer their

questions which

become new

information sharing

opportunities

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DHS EDM Scorecard

DHS Enterprise Data Management Scorecard

PerformanceMeasuresGovernanceInformation

SharingData

Architecture

• Data Asset Catalog• % of Component

Systems mapped to Data Assets

• # of Data Assets Captured Score

• # of Component CDMs and LDMs mapped to Program Investments

• Component Taxonomy /Vocabulary Developed

• NIEM IEPDs in Pipeline

• NIEM IEPD Completion Score

• NIEM Adoption Score• NIEM Domain

Stewardship • Data Quality Plans • Authoritative Data

Source Identification and validation

• Data Management Plans mapped to Program Investments

• Stewardship Groups established (tactical, operational, strategic)

• Data Standards Established and Used

• Business Cases Developed

• Business Case with Metrics Developed

• % of Performance Metrics captured at Component Level

• PM Adoption Score

Wrap up Discussion

• EDM and NIEM have a proven track record at DHS for improving information sharing collaboration

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• What else can we answer to aid your individual efforts at improving information sharing through EDM and NIEM?

• How can NIEM help your efforts?

The End

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