SlideShare ist ein Scribd-Unternehmen logo
1 von 17
Transforming the Way the AF Manages Data     Net Centric Data Strategy using Communities of Interest   Amit K. Maitra 540-270-5694 SAF/XCXA  February 14, 200
[object Object],[object Object],Enabling Net-Centricity     Data Strategy ,[object Object],[object Object],[object Object],[object Object],Ubiquitous Global Network Metadata  Catalogs Enterprise & Community Services Application Services  (e.g., Web) Shared Data Space Metadata  Registries Security Services  (e.g., PKI, SAML) Producer Developer ,[object Object],[object Object],[object Object],[object Object],Consumer Producer and Developer System 1 Data System 2 Data System N Data Consumer . . .
Barriers to Identifying, Accessing and Understanding Data Defining The Data Problem B A R R I E R   B A R R I E R   B A R R I E R  B A R R I E R “ What data exists?“ “ How do I access the data?” “ How do I know this data is   what  I need?” “ How can I tell someone  what data I need?” “ How do I  share my data   with others?”  “ How do I describe my   data so others can   understand it?” Organization “A” Organization “B” Organization “C” User is  unaware  this  data exists User knows this data exists but  cannot access it   because of   organizational   and/or   technical barriers ? User knows data exists and can access it but may not   know how to make   use of it due to    lack of under-   standing  of    what data represents Data Strategy Approach: Discovery Metadata Data Strategy Approach: Web Enabling,  Web-service Enabling Data Strategy Approach: Communities of Interest, Metadata Registry End-User Consumer End-User Producer
Publishing and Subscribing of Data & Services Supporting Both Known and Unanticipated Authorized Users   DoD Discovery Catalogs DoD Metadata Registry DoD Service Registry “ Shared Space” Unanticipated Authorized User  of System A Data Query Catalogs and Registry System X “ Pull” Structural and Semantic Metadata “ Pull” Data Publish Structural and Semantic  Metadata Publish Data and Services Publish Discovery Metadata System B Data exchanged across engineered, well-defined interfaces Known User  of System A Data System A All Data Assets are Tagged with DoD Discovery Metadata Specification (DDMS) Metadata Leverages  Service Oriented Architecture Data Producer Data Consumer
Data Sharing Responsibilities Air Force sees this as an AF transformational priority ! Air Force Information & Data management Strategy Policy, May 2004 DoD 8320.2 Directive, Data Sharing in a Net Centric Department of Defense  DoD 8320.2 Directive codifies DoD Net-Centric Data Strategy (DoD CIO) Data Strategy Implementation Guide is under development (DoD CIO) ,[object Object],[object Object],[object Object],Make data understandable Structural & Semantic Data Descriptions ,[object Object],[object Object],[object Object],[object Object],Make data accessible Sharing Data ,[object Object],[object Object],[object Object],[object Object],Make data visible Contextual Data Scope of COI Role Scope of Enterprise Role Key Goal of DoD Directive 8320.2
Community of Interest (COI) Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://www.defenselink.mil/nii/org/cio/doc/COI_FAQ.doc
Activities for COIs to Implement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],COI Overview
Sample COI Organization Chart Steering Committee Forum (FO) (Chair or Co-Chair)  Data Management  Working Group (Military Service Co-Lead) WGs FOR DISCUSSION PURPOSES ONLY Additional Groups as needed Infrastructure Working Group (Military Service Co-Lead Executive Board  (FO/GO) Chair or Co-Chair Pilot Demonstration Working Group (Military Service Co-Lead) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2 or 3 star level 1 star level with 0-6/GS-15 membership
 
Way Ahead ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References to DoD COI Forum  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reference Links ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Template for the ISR COI Charter ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References to Upcoming Taxonomy Training ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vocabulary Style Guide - Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vocabulary Style Guide – Current Work Underway ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

Weitere ähnliche Inhalte

Andere mochten auch

Norma inen 935 2012
Norma inen 935 2012Norma inen 935 2012
Norma inen 935 2012Wily Cabrera
 
Copernicus was a woman!
Copernicus was a woman!Copernicus was a woman!
Copernicus was a woman!GRAPE
 
Muralidharan Resume (1)
Muralidharan Resume (1)Muralidharan Resume (1)
Muralidharan Resume (1)Muralidharan T
 
Innovia [001]-PMN-PT Properties
Innovia [001]-PMN-PT PropertiesInnovia [001]-PMN-PT Properties
Innovia [001]-PMN-PT PropertiesZibo Jiang
 
Ron Vave - Complete MSc thesis
Ron Vave - Complete MSc thesisRon Vave - Complete MSc thesis
Ron Vave - Complete MSc thesisRon Vave
 
How to Submit a SMCM MAT Application
How to Submit a SMCM MAT ApplicationHow to Submit a SMCM MAT Application
How to Submit a SMCM MAT ApplicationApril Ryan
 
D Dickstein Resume Samples 1 09
D Dickstein Resume Samples 1 09D Dickstein Resume Samples 1 09
D Dickstein Resume Samples 1 09DanDickstein
 
Lcos显示产业在中国的机遇
Lcos显示产业在中国的机遇Lcos显示产业在中国的机遇
Lcos显示产业在中国的机遇巍 陆
 
FINAL REVISIONS MS THESIS
FINAL REVISIONS MS THESISFINAL REVISIONS MS THESIS
FINAL REVISIONS MS THESISTom Hajek
 
Brkrst 3123 previdi-final
Brkrst 3123 previdi-finalBrkrst 3123 previdi-final
Brkrst 3123 previdi-finalStefano Previdi
 

Andere mochten auch (19)

Art Notes, Fall 2007
Art Notes, Fall 2007Art Notes, Fall 2007
Art Notes, Fall 2007
 
Norma inen 935 2012
Norma inen 935 2012Norma inen 935 2012
Norma inen 935 2012
 
Copernicus was a woman!
Copernicus was a woman!Copernicus was a woman!
Copernicus was a woman!
 
Orphenadrine 83-98-7-api
Orphenadrine 83-98-7-apiOrphenadrine 83-98-7-api
Orphenadrine 83-98-7-api
 
Muralidharan Resume (1)
Muralidharan Resume (1)Muralidharan Resume (1)
Muralidharan Resume (1)
 
Bctc 2013
Bctc 2013Bctc 2013
Bctc 2013
 
Azar_Hussain_PDF
Azar_Hussain_PDFAzar_Hussain_PDF
Azar_Hussain_PDF
 
Innovia [001]-PMN-PT Properties
Innovia [001]-PMN-PT PropertiesInnovia [001]-PMN-PT Properties
Innovia [001]-PMN-PT Properties
 
Ron Vave - Complete MSc thesis
Ron Vave - Complete MSc thesisRon Vave - Complete MSc thesis
Ron Vave - Complete MSc thesis
 
How to Submit a SMCM MAT Application
How to Submit a SMCM MAT ApplicationHow to Submit a SMCM MAT Application
How to Submit a SMCM MAT Application
 
D Dickstein Resume Samples 1 09
D Dickstein Resume Samples 1 09D Dickstein Resume Samples 1 09
D Dickstein Resume Samples 1 09
 
Lcos显示产业在中国的机遇
Lcos显示产业在中国的机遇Lcos显示产业在中国的机遇
Lcos显示产业在中国的机遇
 
Mitra. paper
Mitra. paperMitra. paper
Mitra. paper
 
FINAL REVISIONS MS THESIS
FINAL REVISIONS MS THESISFINAL REVISIONS MS THESIS
FINAL REVISIONS MS THESIS
 
Mercator Ocean newsletter 27
Mercator Ocean newsletter 27Mercator Ocean newsletter 27
Mercator Ocean newsletter 27
 
GND's Company Profile_
GND's Company Profile_GND's Company Profile_
GND's Company Profile_
 
Brkrst 3123 previdi-final
Brkrst 3123 previdi-finalBrkrst 3123 previdi-final
Brkrst 3123 previdi-final
 
Final Paper
Final PaperFinal Paper
Final Paper
 
Franchise-Manager 4.0
Franchise-Manager 4.0Franchise-Manager 4.0
Franchise-Manager 4.0
 

Ähnlich wie 2005 02 14 C2 I S R C O I Brief A K Maitra

DRM Evolution 2005 03 17
DRM Evolution 2005 03 17DRM Evolution 2005 03 17
DRM Evolution 2005 03 17Amit Maitra
 
D R M Evolution 2005 10 19
D R M  Evolution 2005 10 19D R M  Evolution 2005 10 19
D R M Evolution 2005 10 19Amit Maitra
 
Drm Evolution 2005 10 19
Drm Evolution 2005 10 19Drm Evolution 2005 10 19
Drm Evolution 2005 10 19Amit Maitra
 
Net-Centric Data Strategy
Net-Centric Data StrategyNet-Centric Data Strategy
Net-Centric Data StrategyDaniel Risacher
 
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
 
IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513Alexander Doré
 
Advanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationAdvanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
 
Introduction to DataCite - Martin Fenner
Introduction to DataCite - Martin FennerIntroduction to DataCite - Martin Fenner
Introduction to DataCite - Martin FennerCrossref
 
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data VirtualizationMyth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data VirtualizationDenodo
 
A Successful Data Strategy for Insurers in Volatile Times (EMEA)
A Successful Data Strategy for Insurers in Volatile Times (EMEA)A Successful Data Strategy for Insurers in Volatile Times (EMEA)
A Successful Data Strategy for Insurers in Volatile Times (EMEA)Denodo
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
 
Standard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxStandard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxRocioMendez59
 
Socrata: Success with Open Data
Socrata: Success with Open DataSocrata: Success with Open Data
Socrata: Success with Open DataHawaii Open Data
 
Data Marketplace and the Role of Data Virtualization
Data Marketplace and the Role of Data VirtualizationData Marketplace and the Role of Data Virtualization
Data Marketplace and the Role of Data VirtualizationDenodo
 
VetsAmerica Vets GWAC Team Capabilities
VetsAmerica Vets GWAC Team CapabilitiesVetsAmerica Vets GWAC Team Capabilities
VetsAmerica Vets GWAC Team CapabilitiesVetsAmerica
 
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationKASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
 

Ähnlich wie 2005 02 14 C2 I S R C O I Brief A K Maitra (20)

DRM Evolution 2005 03 17
DRM Evolution 2005 03 17DRM Evolution 2005 03 17
DRM Evolution 2005 03 17
 
D R M Evolution 2005 10 19
D R M  Evolution 2005 10 19D R M  Evolution 2005 10 19
D R M Evolution 2005 10 19
 
Drm Evolution 2005 10 19
Drm Evolution 2005 10 19Drm Evolution 2005 10 19
Drm Evolution 2005 10 19
 
Net-Centric Data Strategy
Net-Centric Data StrategyNet-Centric Data Strategy
Net-Centric Data Strategy
 
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
 
IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513IT_RFO10-14-ITS_AppendixA_20100513
IT_RFO10-14-ITS_AppendixA_20100513
 
Dossier 2008 V3
Dossier 2008 V3Dossier 2008 V3
Dossier 2008 V3
 
Unit 2
Unit 2Unit 2
Unit 2
 
Advanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data VirtualizationAdvanced Analytics and Machine Learning with Data Virtualization
Advanced Analytics and Machine Learning with Data Virtualization
 
Introduction to DataCite - Martin Fenner
Introduction to DataCite - Martin FennerIntroduction to DataCite - Martin Fenner
Introduction to DataCite - Martin Fenner
 
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data VirtualizationMyth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization
 
A Successful Data Strategy for Insurers in Volatile Times (EMEA)
A Successful Data Strategy for Insurers in Volatile Times (EMEA)A Successful Data Strategy for Insurers in Volatile Times (EMEA)
A Successful Data Strategy for Insurers in Volatile Times (EMEA)
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
 
Standard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptxStandard Safeguarding Dataset - overview for CSCDUG.pptx
Standard Safeguarding Dataset - overview for CSCDUG.pptx
 
Socrata: Success with Open Data
Socrata: Success with Open DataSocrata: Success with Open Data
Socrata: Success with Open Data
 
Data Marketplace and the Role of Data Virtualization
Data Marketplace and the Role of Data VirtualizationData Marketplace and the Role of Data Virtualization
Data Marketplace and the Role of Data Virtualization
 
VetsAmerica Vets GWAC Team Capabilities
VetsAmerica Vets GWAC Team CapabilitiesVetsAmerica Vets GWAC Team Capabilities
VetsAmerica Vets GWAC Team Capabilities
 
The Power of Data
The Power of DataThe Power of Data
The Power of Data
 
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationKASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
 
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)
 

Mehr von Amit Maitra

The Impact Of Telecoms
The Impact Of TelecomsThe Impact Of Telecoms
The Impact Of TelecomsAmit Maitra
 
Fea Drm Akm 2005 03 28
Fea Drm Akm 2005 03 28Fea Drm Akm 2005 03 28
Fea Drm Akm 2005 03 28Amit Maitra
 
2005 02 14 C2 Isr Coi Brief Ak Maitra
2005 02 14 C2 Isr Coi Brief   Ak Maitra2005 02 14 C2 Isr Coi Brief   Ak Maitra
2005 02 14 C2 Isr Coi Brief Ak MaitraAmit Maitra
 
The Impact Of Telecoms
The  Impact Of  TelecomsThe  Impact Of  Telecoms
The Impact Of TelecomsAmit Maitra
 
F E A D R M A K M 2005 03 28
F E A  D R M  A K M 2005 03 28F E A  D R M  A K M 2005 03 28
F E A D R M A K M 2005 03 28Amit Maitra
 

Mehr von Amit Maitra (8)

The Impact Of Telecoms
The Impact Of TelecomsThe Impact Of Telecoms
The Impact Of Telecoms
 
Asian Drama V2
Asian Drama V2Asian Drama V2
Asian Drama V2
 
Fea Drm Akm 2005 03 28
Fea Drm Akm 2005 03 28Fea Drm Akm 2005 03 28
Fea Drm Akm 2005 03 28
 
2005 02 14 C2 Isr Coi Brief Ak Maitra
2005 02 14 C2 Isr Coi Brief   Ak Maitra2005 02 14 C2 Isr Coi Brief   Ak Maitra
2005 02 14 C2 Isr Coi Brief Ak Maitra
 
I T Evolution
I T  EvolutionI T  Evolution
I T Evolution
 
The Impact Of Telecoms
The  Impact Of  TelecomsThe  Impact Of  Telecoms
The Impact Of Telecoms
 
Asian Drama V2
Asian  Drama V2Asian  Drama V2
Asian Drama V2
 
F E A D R M A K M 2005 03 28
F E A  D R M  A K M 2005 03 28F E A  D R M  A K M 2005 03 28
F E A D R M A K M 2005 03 28
 

2005 02 14 C2 I S R C O I Brief A K Maitra

  • 1. Transforming the Way the AF Manages Data Net Centric Data Strategy using Communities of Interest Amit K. Maitra 540-270-5694 SAF/XCXA February 14, 200
  • 2.
  • 3. Barriers to Identifying, Accessing and Understanding Data Defining The Data Problem B A R R I E R B A R R I E R B A R R I E R B A R R I E R “ What data exists?“ “ How do I access the data?” “ How do I know this data is what I need?” “ How can I tell someone what data I need?” “ How do I share my data with others?” “ How do I describe my data so others can understand it?” Organization “A” Organization “B” Organization “C” User is unaware this data exists User knows this data exists but cannot access it because of organizational and/or technical barriers ? User knows data exists and can access it but may not know how to make use of it due to lack of under- standing of what data represents Data Strategy Approach: Discovery Metadata Data Strategy Approach: Web Enabling, Web-service Enabling Data Strategy Approach: Communities of Interest, Metadata Registry End-User Consumer End-User Producer
  • 4. Publishing and Subscribing of Data & Services Supporting Both Known and Unanticipated Authorized Users DoD Discovery Catalogs DoD Metadata Registry DoD Service Registry “ Shared Space” Unanticipated Authorized User of System A Data Query Catalogs and Registry System X “ Pull” Structural and Semantic Metadata “ Pull” Data Publish Structural and Semantic Metadata Publish Data and Services Publish Discovery Metadata System B Data exchanged across engineered, well-defined interfaces Known User of System A Data System A All Data Assets are Tagged with DoD Discovery Metadata Specification (DDMS) Metadata Leverages Service Oriented Architecture Data Producer Data Consumer
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.  
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.

Hinweis der Redaktion

  1. Introduction
  2. Overarching Strategy What is our vision? Move from Producer to Consumer Centric data environment Net Centricity = Focused on information sharing Taking lessons learned fro the Internet How would you do things differently if you had a ubiquitous network where everybody was connected to everyone else? Assumes Better information which means… Better decisions which means… Better outcomes
  3. What are the barriers? Posting and Pulling from exposed data asset repositories
  4. The key is supporting unanticipated authorized users!!
  5. What is our direction?
  6. Problem Statement: Can I find data I need? Is the data I found available for me to retrieve? How do I make sense of the data I have retrieved? Are there duplicate sources for the data? Which source should I use or are they equivalent for my needs? What is the pedigree of the data? Subject matter experts who use the data are best suited to describe the data Post the data assets (vocabularies, taxonomies, discovery metadata, semantic metadata, and structural metadata) COI pilots, exercises, and integration with programs of record The Strategy identifies COIs as a mechanism for tackling these goals. The COI FAQ published at DefenseLink identifies 3 tasks for a COI. Under each of these tasks, we provide more elaboration on the what’s, the why’s, and the where’s for each task. The remainder of this presentation will illustrate and explain the NCES products and how a COI can use these products to accomplish the net-centric objectives.
  7. What do COIs do ?
  8. How are COIs structured?
  9. COIs are the key to our bottoms up approach spannning organizational and functional lines.