the reality of information governance deployment at the

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The Reality of Information Governance Deployment at the National Institutes of Health ABSTRACT Successful implementation of Information Governance promises the much sought after integrative collaboration of business and IT to achieve enterprise goals and lead to better decision-making. Nevertheless, its design is technically complex, organizationally challenging, and, above all, politically sensitive. NIH is a Federal agency that spans 27 separate institutes and centers involved in highly complex medical research. Within this, information serves as the bloodline linking everything together. NIH is a highly federated and semantically segmented environment where data quality and consistency are of paramount value, and needs of multiple stakeholders must be balanced and met. This presentation draws upon the experience of institutionalizing federated information governance at NIH, facilitated by the Enterprise Architect. What are the complex dynamics and political realities involved? What was proposed? What is the creative "structure" implemented as an outcome of the study? BIOGRAPHY Helen McCulloch Schmitz Acting Chief Information Technology (IT) Architect National Institutes of Health (NIH). Ms. Schmitz has been with the NIH Enterprise Architecture program for seven years, three as Acting Enterprise Architect. She has over twenty years IT experience, providing leadership in support of large, complex enterprises in the private sector and the Federal Government, including the Department of Defense and civilian agencies. She worked with the American City Business Journals then the Resolution Trust Corporation. While working with EDS for seven years, she supported the Army, the Pentagon and NASD. She earned a Bachelor of Arts degree in zoology from Connecticut College, then worked as a lab technician in microbiology at Wayne State Medical School, in Detroit, Michigan. Her results have been achieved through the collaborative development of NIH Enterprise Architecture and sponsorship of technology transformation initiatives with demonstrated value to NIH. She sees her role as a liaison between NIH’s scientific and business organizations and those that provide IT support. MIT Information Quality Industry Symposium, July 15-17, 2009 518

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Page 1: The Reality of Information Governance Deployment at the

The Reality of Information Governance Deployment at the National Institutes of Health ABSTRACT Successful implementation of Information Governance promises the much sought after integrative collaboration of business and IT to achieve enterprise goals and lead to better decision-making. Nevertheless, its design is technically complex, organizationally challenging, and, above all, politically sensitive. NIH is a Federal agency that spans 27 separate institutes and centers involved in highly complex medical research. Within this, information serves as the bloodline linking everything together. NIH is a highly federated and semantically segmented environment where data quality and consistency are of paramount value, and needs of multiple stakeholders must be balanced and met. This presentation draws upon the experience of institutionalizing federated information governance at NIH, facilitated by the Enterprise Architect.

What are the complex dynamics and political realities involved? What was proposed? What is the creative "structure" implemented as an outcome of the study?

BIOGRAPHY Helen McCulloch Schmitz Acting Chief Information Technology (IT) Architect National Institutes of Health (NIH). Ms. Schmitz has been with the NIH Enterprise Architecture program for seven years, three as Acting Enterprise Architect. She has over twenty years IT experience, providing leadership in support of large, complex enterprises in the private sector and the Federal Government, including the Department of Defense and civilian agencies. She worked with the American City Business Journals then the Resolution Trust Corporation. While working with EDS for seven years, she supported the Army, the Pentagon and NASD. She earned a Bachelor of Arts degree in zoology from Connecticut College, then worked as a lab technician in microbiology at Wayne State Medical School, in Detroit, Michigan. Her results have been achieved through the collaborative development of NIH Enterprise Architecture and sponsorship of technology transformation initiatives with demonstrated value to NIH. She sees her role as a liaison between NIH’s scientific and business organizations and those that provide IT support.

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The Reality of Information Governance Deployment at the

National Institutes of HealthHelen M. Schmitz

NIH Chief IT Architect (Acting)

Contact: [email protected] Page 2

AgendaAgenda

• About NIH

• Approach

• Information Governance Frameworks

• Artifacts

• Lessons Learned

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Page 3

About NIH

Contact: [email protected] Page 4

NIH: The Nation’s Medical Research Agency

...

“Science in pursuit of fundamental knowledge about the nature and behavior of living systemsand the application of that knowledge to extend healthy life and reduce the burdens of illness and disability.”

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Contact: [email protected] Page 5

National Institutes of Health

National Instituteon Alcohol Abuseand Alcoholism

National Instituteof Arthritis andMusculoskeletal

and Skin Diseases

National CancerInstitute

National Instituteon Aging

National Instituteof Child Health

and HumanDevelopment

National Instituteof Allergy and

Infectious Diseases

National Instituteof Diabetes andDigestive and

Kidney Diseases

National Instituteof Dental andCraniofacial

Research

National Instituteon Drug Abuse

National Instituteof EnvironmentalHealth Sciences

National Institute onDeafness and Other

CommunicationDisorders

National EyeInstitute

National HumanGenome Research

Institute

National Heart,Lung, and Blood

Institute

National Instituteof Mental Health

National Instituteof NeurologicalDisorders and

Stroke

National Instituteof General

Medical SciencesNational Institute

of Nursing Research

National Libraryof Medicine

National Centerfor Complementary

and AlternativeMedicine

FogartyInternational

Center

National Centerfor ResearchResources

National Instituteof Biomedical Imaging and

Bioengineering

NIHClinical Center

CenterFor Information

Technology

Center for Scientific

Review

National Center on Minority Health

and Health Disparities

Office of the Director

Contact: [email protected] Page 6

Dual Nature of NIH…NIH INTRAMURAL

RESEARCHNIH is an institution

Supports:•Over 10,000 scientists and research personnel•15.8% of NIH budget- $4.7 B•Primary location: Bethesda, MD•A few labs throughout U.S.

5

Data: Assoc of University Technology Manag er s (AUTM ) Survey 2004

Alaska

NIH EXTRAMURAL RESEARCH

Supports:•Over 3,000 institutions worldwide•Over 325,000 scientists & research personnel•Awards issued to over 100 countries•Clinical, Basic, & Translational Research•84% of the NIH budget - $24.8 B

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Contact: [email protected] Page 7

Complexity

• 3 functional areas– Intramural– Extramural– Administrative supporting services

• 27 institutes and centers

• All have own unique needs and requirements – and need to work together

Page 8

Approach

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Contact: [email protected] Page 9

There is no formal structure for information governance. Changes to data are ad hoc and take too long. Common and consistent definitions and formal enterprise glossaries are needed. Data quality is inconsistent.

Data is well defined in a consistent and controlled manner. Defined authoritative data sources exist within NIH. Data is provided in a format that is useable to the recipient. Information access and reporting is conducted in an accountable, secure, and consistent manner across NIH. Transparent data responsibilities are established to provide clear and distinct roles and responsibilities for governance bodies. A well defined and comprehensive decision-making framework is instituted that outlines the priorities, criteria and processes that will used in the selection of alternatives and solutions in support of NIH’s mission.

Target

State

Current

State

Activities

To

Get There

• Implement governance• Determine resource requirements• Conduct Pilot• Design future processes within each functional

area. • Develop a decision framework• Recommend list of governance bodies, roles,

and responsibilities.• Identify and work with participants• Review existing governance bodies, roles and

responsibilities

Contact: [email protected] Page 10

Information Governance Design TeamGovernance Core Team Governance Support Team

IC Representatives

TBD

NCI

Systems Analyst

Budget Analyst

Extramural Grants Manager

Intramural Analyst

IC Representatives

TBD

NIDDKExtramural Grants

Manager

IC Representatives

TBD

IC Representatives

TBD

IC Representatives

TBD

IC Representatives

TBD

IC Representatives

TBD

IC Representatives

TBD

IC Representatives

TBD

Chief Architect

Information Management

Contractors

Information Analyst Process Analyst

Business Champion

NIH Director

Functional OwnerDeputy Director for Management and

Chief Financial Officer

Functional Owner

Deputy Director for Extramural Research

Functional Owner

Deputy Director for Intramural Research

Functional OwnerActing Director, Division

of Program Coordination, Planning and Strategic Initiatives

Designated Delegate

Assistant Director for Management

Designated Delegate

Chief: Reporting Branch

Designated Delegate

Chief: Data, Tools and Analysis

Designated Delegate

TBD

Design POC

Technical Architect

Financial System PM

Design POCDirector: Division Information

ServicesChief: Data Quality Branch

Design POC

Chief: Data, Tools and Analysis

Design POC

TBD

Chief Information Officer

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Page 11

Information Governance Frameworks

Contact: [email protected] Page 12

Generic Governance FrameworkProposed

Issue Documentation

Issue Packaging

Functional Assessment

Technical Assessment

Domain Authorities

• Impact and implications• Tradeoffs• Resolution Recommendations

• Impact• Recommendations• Results

• What are the business effects?

• What are the risks?

• What is the cost?

• What is the scope?

• What are the applicable standards?

• What are the affected standards?

• What is the infrastructural fit?

• What is the scope?

• Raise?• Keep?• Lower?• Waive?

• What will it take to resolve?

• Policy?• Procedure?• Technology?

• How will it be resolved?

Data Governance Sponsor

• Disagreement resolution request

Local Authorities

Coordination

Ad Hoc Working Group

• Action request• Information

Ad Hoc Working Group

Preparation

Enterprise Authority

• Cross-domain action recommendation

• Disagreement resolution request

• Information

• Policy• Procedure• Technology

Coordination

Functional Components

• Decision impact

IT

• Decision impact

• How do we implement the change?

• How do we adapt the infrastructure?

• How do we capture the change in formal models and business rules?

•How do we implement the change?

Identify Issue Resolve Issue Implement Resolutions

Issue Capture

Proactive• Project Data Models• EA Data Standards

Reactive• Discovered opportunities

and errors

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Contact: [email protected] Page 13

Current Governance Bodies RelationshipsFunctional Area

Contact: [email protected] Page 14

Proposed NIH Information GovernanceClearinghouse Concept

• Clearinghouse Concept: A collection point within NIH to which information-related issues and their resolutions are submitted then published and disseminated. Stakeholders throughout NIH can evaluate issues and identify potential impacts beyond the original scope and intent, then provide feedback. Feedback is then collated and either re-published or forwarded through the appropriate governance.

• Benefits of a clearinghouse:– Transparency: Proactively connect and inform stakeholders, minimizing reliance

on personal relationships.– Based on successful standard development process: documented process to

publish for input of interested parties.– Collaboration: Reduce the time-to-resolution by reusing solutions, leveraging

experiences, or even combining resources to close unresolved issues.– Non-Invasive: Issue publication simply informs others; evaluation and resolution

follow existing processes.– Issue Support: Independent support to maintain the clearinghouse, and that

support can also assist with issue identification, evaluation, impact analysis, and resolution.

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Contact: [email protected] Page 15

NIH Information GovernanceClearinghouse Concept

Create or Identify Issue

Orig

inat

orC

lear

ingh

ouse

Func

tiona

l /

Tech

nica

l SM

EsA

ffect

ed

Gov

erna

nce

Bod

ies

Submit to Clearinghouse

Capture and Document Issue

Assess Functional and Technical

Impact

Provide Expert Opinion

Package Issue

Contact Originator

Contact Affected Governance Bodies

Provide Clarifications

Understand Recommendations

Provide Decision

Work with Affected Governance Bodies

Issue Package

.........Business Processes

...

...

...

Affected Bodies

......System / Applications

......Data

......Technical

Recommended ActionsImplications

Understand Recommendations

Examine existing standards, policies, and efforts as well as those for in progress initiatives to package the issue as follows:

Inform of broader implications and determine agreement

Inform how those bodies are impacted, offer a recommended course of action, and provide originator contact info

Publish DecisionCoordinate

Page 16

Information Governance Artifacts

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Contact: [email protected] Page 17

Information Governance Artifacts

DefineDecideARB

ExecuteExecuteExecuteRecommend, Define

Recommend, Define

DefineEnterprise Architecture (Governance Administration)

RecommendITMC and EA Subcommittee

DefineDefineDefineWorking/Domain Teams

RecommendExecuteRecommendBusiness Owners

RecommendExecuteIT Stewards

RecommendRecommendExecuteRecommendRecommendRecommendFunctional Data Committees (EDC, ADC, IDC)

Resolve Issues

DecideResolve Issues

DecideDecideDecideDecide?,

Recommend?

DecideEnterprise Information Management Committee (EIMC)

DecideDecideNIH Steering Committee

Governance Processes

Data Definition Changes

Enforce/ Implement Data Standards

Data Standards (Quality, Security, Retention)

Enterprise Information Policy

Enterprise Information Standards

Business Policy Issues

IM StrategyDecision

Participant

DefineDecideARB

ExecuteExecuteExecuteRecommend, Define

Recommend, Define

DefineEnterprise Architecture (Governance Administration)

RecommendITMC and EA Subcommittee

DefineDefineDefineWorking/Domain Teams

RecommendExecuteRecommendBusiness Owners

RecommendExecuteIT Stewards

RecommendRecommendExecuteRecommendRecommendRecommendFunctional Data Committees (EDC, ADC, IDC)

Resolve Issues

DecideResolve Issues

DecideDecideDecideDecide?,

Recommend?

DecideEnterprise Information Management Committee (EIMC)

DecideDecideNIH Steering Committee

Governance Processes

Data Definition Changes

Enforce/ Implement Data Standards

Data Standards (Quality, Security, Retention)

Enterprise Information Policy

Enterprise Information Standards

Business Policy Issues

IM StrategyDecision

Participant

Decision & Responsibility Matrix Charters

Criteria 1 2 3 4 ProjectValue Weight Weighted

Score1. Impact to Regulatory, Policy, or other Requirement? Hinders No Impact Supports, but

isn't required Satisifies 4 02. Criticality of Deadline None, N/A Low Medium High 3 03. Alignment with Strategic Goals None, N/A Low Medium High 3 04. New or Enhanced Business or Research Capability None/Removes Incremental or

Enhancement

Reengineers existing process

Totally New2 0

5. Productivity or Quality Improvement Decrease None < 10% > 10% 3 06. End-user satisfaction Decrease No Change Improvement Significant

Improvement 1 07. Benefit to External NIH Customers/Constituents None, N/A Low Medium High 4 08. Business or Customer Support

None/Resistance Single GroupMultiple Business

Areas,Multiple ICs

NIH-wide, mutl-OPDIV 3 0

9. Risk of failure due to business reasons (political, scope, lack of requirements, lack of clear performance measures)? Significant High Medium Low

3 010. Risk of failure due to technical reasons (complexity, new technology, insufficient technical expertise)?

Significant High Medium Low3 0

11. Risk Reduction to NIH None/Increases Low Medium High 2 0

• Function• Authority• Responsibilities• Relationships

• Composition• Quorum• Operation• Disposition

Decision FrameworksProcesses

Contact: [email protected] Page 18

Lessons Learned

• Governance is complex and difficult in a federated organization.

• Strong leadership and sponsorship is critical for success.

• Keep structures and processes simple.

• There is contradictory direction because this is a new process, and people’s expectations are defined by their unique perspective.

• Communication is critical to get buy-in.

• People respond better if they see an artifact they can alter, rather than start an artifact from scratch.

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Contact: [email protected] Page 19

Contact Information

NIH Enterprise Architecture CommunityWeb site: http://EnterpriseArchitecture.nih.govEmail: [email protected]

NIH Contact Helen SchmitzChief IT Architect (Acting)National Institutes of HealthTelephone: +1.301.496.2328E-mail: [email protected]

Page 20

Extra Slides

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Contact: [email protected] Page 21

Sample Decision Matrix

DefineDecideArchitecture Review Board (ARB)

ExecuteExecuteExecuteRecommend, Define

Recommend, Define

DefineEnterprise Architecture (Governance Administration)

RecommendITMC EA Subcommittee

DefineDefineDefineWorking Groups and Domain Teams

RecommendExecuteRecommendBusiness Owners

RecommendExecuteIT Stewards

RecommendRecommendExecuteRecommendRecommendRecommendFunctional Data Committees (EDC, ADC, IDC)

Resolve Issues

DecideResolve Issues

DecideDecideDecideDecide?

Recommend?

DecideEnterprise Information Management Committee (EIMC)

DecideDecideNIH Steering Committee

Governance Processes

Data Definition Changes

Enforce/ Implement Data Standards

Data Standards (Quality, Security, Retention)

Enterprise Information Policy

Enterprise Information Standards

Business Policy Issues

IM StrategyDecision

Participant

Sample

Contact: [email protected] Page 22

Decision Framework

• Compliance Assurance and Audit• Breach Response

• Authoritative data Source Certification

• Reporting Request Evaluation

• Data Metric Determination• Stewardship Reporting

• Vocabulary Term Submission and Acceptance

• New System Development and Data Use

• Change and Configuration Management

• New Technology Introduction

• Goal Decomposition and Mapping• Project Assessment and Evaluation• Funding source identification and

assignment• Decision rights establishment• Resource Allocations• Issue escalation and resolution

Process

• Anticipated Compliance Issues• Statutory Compliance Impact Statements• Risk Analysis Worksheet• Data Classification Guidelines• Response Decision Flowchart

• Data Access Matrix• Authoritative Data Source

Characteristics List• Data Inventorying and Categorization

Guidelines

• Data Quality Dimensions Guidelines• Stewardship Requirements and Skills

Guidelines

• Term Validation Methodology• Definition Quality Checklist• Data and Architecture Models• Patterns and Bricks• Roadmaps

• Strategy Maps• Evaluation Factors Worksheet• Costing Models• Recourse Estimation Worksheet• Issue Capture Template

Artifacts

• Security and Compliance Policy Development and Enforcement

• Risk Assessment and Control Valuation• Incidents and Breach Response Determination

Security, Privacy, and Compliance

• Roles and Permissions Establishment and Assignment

• Logical and Physical Authoritative Data Store Identification

• Data Usage Guidelines and Policy Development• Backup and Archiving Policy Development and

Approval• Retention and Disposition Policy Development and

Approval

Data Access and Reporting

• Data Valuation• Data Metrics Determination and Monitoring• Data Audit and Stewardship Assignment

Data Quality

• Data Definition and Business Rules Capture and Adoption

• Data and Metadata Standards and Conventions Development and Approval

• Process and Data Modeling Standards Development and Approval

• Data Storage, Transport, and Delivery Technical Standards Development and Approval

• Cross-Functional Effort Coordination

Architecture, Standards, and Integration

IssueFocus Area• Informational to Business Goals Alignment• Effort Selection and Prioritization• Policy Development and Approval• Entity Formation and Assignment• Stewardship Assignment• Cross-Functional Dispute Resolution

Strategy and Alignment

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Contact: [email protected] Page 23

Decision Factors - Sample

Criteria 1 2 3 4 ProjectValue Weight Weighted

Score1. Impact to Regulatory, Policy, or other Requirement? Hinders No Impact Supports, but

isn't required Satisifies 4 02. Criticality of Deadline None, N/A Low Medium High 3 03. Alignment with Strategic Goals None, N/A Low Medium High 3 04. New or Enhanced Business or Research Capability None/Removes Incremental or

Enhancement

Reengineers existing process

Totally New2 0

5. Productivity or Quality Improvement Decrease None < 10% > 10% 3 06. End-user satisfaction Decrease No Change Improvement Significant

Improvement 1 07. Benefit to External NIH Customers/Constituents None, N/A Low Medium High 4 08. Business or Customer Support

None/Resistance Single GroupMultiple Business

Areas,Multiple ICs

NIH-wide, mutl-OPDIV 3 0

9. Risk of failure due to business reasons (political, scope, lack of requirements, lack of clear performance measures)? Significant High Medium Low

3 010. Risk of failure due to technical reasons (complexity, new technology, insufficient technical expertise)?

Significant High Medium Low3 0

11. Risk Reduction to NIH None/Increases Low Medium High 2 0

Contact: [email protected] Page 24

Charter – Template• Function

– [A statement describing the top objectives and the highest level decisions that the entity is responsible for.]

• Authority– [A statement describing the authority that

formed and formally institutionalized the entity.]

• Responsibilities– Recommend the overall responsibilities of

the entity with respect to information governance.

• Relationships– Recommend the relationships to other

governance entities.

• Composition– Recommend membership, roles, and skills

of the constituency of the entity.

• Quorum– [A list of statements describing the

minimum set of conditions required to reach a formal decision including participation and/or circumstances (if it is an emergency the president can decide, if it is …)]

• Operation– [A list of the frequency, dates, or events

that trigger meetings.]

• Disposition– [A statement describing the set of

conditions that leading to the different disposition alternatives for the entity.]

– [This is success/failure/stagnate and if we succeed/ then we will evolve/disband/etc]

Information Governance Project Output

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