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Management Organization

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1 Management Organization
IRS XML Initiatives Sol Safran Enterprise Data Management Organization 21 April 2004

2 Managing IRS XML Standards Managing IRS XML Users – Stakeholders
AGENDA Introduction EDMO Vision & Mission Background Managing IRS XML Standards Managing IRS XML Users – Stakeholders Managing IRS Data

3 Enterprise Data Management Office – Mission & Vision
Partnered Organization IRS / PRIME / MITRE Establish and implement an Enterprise-wide data management program. Define long term objectives and identify projects and activities that help attain those objectives. Recruit and maintain project staff and integrate services and deliverables into the overall environment. Develop a strategic plan, management reports, schedules, finance and budget Coordinate the support, planning prioritization and monitoring of activities that manage IRS data at the enterprise level to meet the business needs of the agency Enterprise Data Manager Data Engineering Working Group (DEWG) Data Management Issues Resolution Team (DMIRT) Data Policy & Strategic Planning Data Administration Data Architecture Database Administration Provide the necessary infrastructure, policies, standards and tools which provide for common integrated, consistent and effective data management practices Develop, promote and oversee compliance with policies Develop and maintain the Enterprise Conceptual and Logical data models Coordinate and ensure the optimal use of IRS agency resources and assets in the physical manipulation of data and data artifacts Develop and implement plans for data transition, data migration, data conversion, COTS data stores, and custom data stores Facilitate the creation, storage, manipulation, integration, distribution, use and management of enterprise level shared metadata and XML Registry Support application and engineering projects in developing enterprise compliant data solutions.

4 IRS Enterprise Data Management Office – Background
Data management work and XML standards being performed by PRIME Enterprise Data Management (EDM) EDM is EDMO support contractor CSC is PRIME integration contractor for IRS Systems Modernization Coalition of CSC, IBM, Northrop Grumann, and others

5 IRS Enterprise Data Management Office – Background
XML plays large role in Systems Modernization Tax returns and forms from external providers Storage of tax returns as received, plus modifications Inter-system messaging IRS had many independent XML initiatives Inter-operability was jeopardized Wheels were being re-invented Each project learned as it went

6 IRS Enterprise Data Management Office – Background
Tax data in XML Also increasingly: tax returns are converted to XML and processed/stored All tax forms must be retained as originally submitted … increasingly in XML from 3rd party providers and large corporations Eventually most tax forms and returns will be in XML format in IRS Tax Year 2004 return projections: 1120 (Corp): M 94x (Employment): 30M 1040: M Impact of XML 2004 projections 1120 returns (Corp): 100k 94x returns (Employment): 29M XML schemas can amplify data Some 1120 schema instances up to 350 MB

7 Managing IRS XML Standards - Benefits
Improved Systems Interoperability Common business vocabulary Common XML message content Reduce interface development costs Facilitate re-use and interoperability Improved Data Quality Known sources and locations of data Contradiction between databases removed Typing to ensure values Improved Taxpayer Interaction More accurate, timely information IRS commitment to states/external developers

8 Managing IRS XML Standards - Goals
Organize stakeholders Pull together internal and external knowledge and best practices Identify existing industry best practices Liaison with external organizations – TIGERS, OASIS, FED XML Working Groups, etc. Leverage IRS project knowledge and lessons learned across the IRS Provide direction, standards and guidelines Define XML specific standards and guidelines Define appropriate uses of XML Plan for XML architecture/infrastructure support (e.g. XML Registry, XML tools, etc.)

9 Managing IRS XML Standards - Process
Fact finding Develop initial standards to assist team Conduct workshops Important considerations Maintain enterprise perspective Try to minimize impact to projects Communicate process and findings to stakeholders Formalize On-going

10 Managing IRS XML Standards – Results & Where Next
Formalized XML standards & guidelines - ongoing Enterprise Data Standards & Guidelines Stakeholder Working groups Architectural Issues What and how to XMLize, and what not to E.g., messaging, OLTP vs. reporting/analytics, etc. Structural commonalities and differences XML for messaging vs. processing vs. data storage Structural variations for different kinds of processing (SAX vs DOM, vs Custom) Architecting for data sharing, re-use, and interoperability Architecting for performance and scalability Technology/performance implications of data volume amplification Standard XML schema based on Enterprise Logical Data Model XML Registry Organization outreach (TIGERS, OASIS, XML Working Group, etc.) Taxonomy SCORM

11 Managing IRS XML Users - Stakeholders
XML Stakeholders: Large, diverse group (100+) Major IRS organizations, all levels of projects, external organizations Members participate in XML working groups Recently expanded scope to include stakeholder presentations IRS Organizations Chief Counsel Electronic Tax Admin Media & Publishing Taxpayer Advocate LMSB TEGE W&I BSMO BSD EUES Security Services Web Services IRS Projects 1120 e-File CADE HR Connect Internet EIN MDA Modernized E-File M-TRDB TREES . DoD XML Registry DoT XML standards Fed XML Working Group MITRE NIST PRIME Other Organizations

12 Managing IRS Data - IRS XML Registry
Registry benefits Registry analysis underway Stakeholders involved Meta Data Meta Data Management Meta Data Strategy

13 Questions ??

14 Karla Tropea Program Manager, IRS Enterprise Data Management Office
Contact Info Karla Tropea Program Manager, IRS Enterprise Data Management Office Sol Safran Senior Data Engineer – XML Lead, Prime Enterprise Data Management


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