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<StrategicPlanCore StartDate="2003-05-09" EndDate="" Date="2008-07-08"
><Submitter FirstName="Owen" LastName="Ambur" PhoneNumber="" EmailAddress="Owen.Ambur@verizon.net"
/><Source
>http://www.defenselink.mil/cio-nii/docs/Net-Centric-Data-Strategy-2003-05-092.pdf</Source
><Organization
><Name
>Net-Centric Data Strategy, Department of Defense</Name
><Acronym
>DoDNCDS</Acronym
></Organization
><Vision
>All data is advertised and available for users and applications when and where they need it. In this&#xD;environment, users and applications search for and “pull” data as needed. Alternatively, users&#xD;receive alerts when data to which they have subscribed is updated or changed (i.e., publish subscribe).&#xD;Authorized users and applications have immediate access to data posted to the&#xD;network without processing, exploitation, and dissemination delays. Users and applications&#xD;“tag” data assets with metadata, or data about data, to enable discovery of data. Users and&#xD;applications post all data assets to “shared” space for use by the Enterprise.</Vision
><Mission
>This document describes the Net-Centric Data Strategy for the Department of Defense (DoD),&#xD;including DoD intelligence agencies and functions. It describes a vision for a net-centric&#xD;environment and the data goals for achieving that vision. It defines approaches and actions that&#xD;DoD personnel will have to take as users—whether in a role as consumers and producers of data&#xD;or as system and application developers. This Strategy will be followed by a subsequent&#xD;directive and guidance on implementation details.</Mission
><Value
><Name
/></Value
><Goal
><SequenceIndicator
>3.1</SequenceIndicator
><Name
>MAKE DATA VISIBLE</Name
><Description
>Advertise and make all data assets "visible” by providing metadata, which describes the asset.</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.1.1</SequenceIndicator
><Name
>Data Sharing</Name
><Description
>Post Data to Shared Spaces</Description
><Stakeholder
/><OtherInformation
>Users and applications will migrate from maintaining private data (e.g., data kept within systemspecific&#xD;storage) to making data available in community- and Enterprise-shared spaces (e.g.,&#xD;servers and services available on the Internet). These shared spaces will act as repositories&#xD;where users and applications can submit, or post, data assets to the enterprise. The shared spaces&#xD;will provide storage and serving mechanisms. Enterprise-shared spaces will be maintained,&#xD;secured, and staged as necessary to support the Department’s missions. Data that is posted to&#xD;shared spaces will be advertised via the associated metadata and will be discoverable with&#xD;enterprise search tools.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.1.2</SequenceIndicator
><Name
>Discovery Metadata</Name
><Description
>Associate Discovery Metadata With Data Assets</Description
><Stakeholder
/><OtherInformation
>To facilitate discovery of data assets, users and applications will provide discovery metadata, in&#xD;accordance with the DoD Discovery Metadata Standard (DDMS), for all data posted to shared&#xD;spaces. The DDMS will provide a common set of structured attributes that support discovery of&#xD;data assets using search tools. COIs and asset producers determine the desired level of discovery&#xD;for a data asset, e.g., discovery of a database or a record within a database, discovery of a&#xD;document or a paragraph within a document. The initial focus of the DDMS is to aid in the&#xD;discovery of data assets as a whole; hence, the discovery metadata in the DDMS will not always&#xD;be required for individual records or elements. For exa mple, the discovery metadata will always&#xD;indicate the existence of a database containing certain kinds of information but may or may not&#xD;identify the contents of specific database elements. The DDMS does not preclude the use of&#xD;other metadata processes or standards. For example, record- level database tagging and in-line&#xD;document tagging are common practice today to support various Department objectives. These&#xD;tagging initiatives will only have to enhance their existing processes to include the DDMS for&#xD;Enterprise discovery.&#xD;The DDMS will be adopted and implemented across the DoD components for new and existing&#xD;data assets. Figure 7 illustrates the logical layers and elements of the DDMS. This standard will&#xD;be registered in the DoD Metadata Registry. Enterprise visibility of a data asset is promoted&#xD;when its discovery metadata complies with the DDMS.&#xD;The core layer of the DDMS represents those attributes of a data asset that can be commonly&#xD;described across the Department, regardless of the type of data asset or community to which it is&#xD;applied. It is important to note that not all elements in the core layer are mandatory. The set of&#xD;mandatory elements will be small yet robust enough to generate high value-added metadata to&#xD;support Enterprise discovery. The extensible layer provides a mechanism for COIs to extend the&#xD;core layer of the DDMS to support mission-specific metadata requirements.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.1.3</SequenceIndicator
><Name
>Metadata Catalogs</Name
><Description
>Create and Maintain Catalogs</Description
><Stakeholder
/><OtherInformation
>Metadata catalogs will advertise the existence of shared data and will contain information about&#xD;all data assets contained in the associated shared space (including databases, system output files,&#xD;web pages, documents, and access services). At a minimum, the mandatory discovery metadata&#xD;elements in the DDMS must be represented within metadata catalogs for any data asset posted to&#xD;a shared space. COIs will establish and maintain catalogs. Each catalog may be organized&#xD;according to the community-defined ontology. An Enterprise catalog will be established that&#xD;links to community catalogs, effectively creating a “catalog of catalogs.” The Enterprise catalog&#xD;will also contain metadata for data posted by users and applications without a specific COI&#xD;affiliation.&#xD;Catalogs will be searchable by applications or through user-friendly, web-based interfaces. The&#xD;web-based interfaces will have a consistent look and feel and will support posting of metadata to&#xD;the catalog and data to the shared space. The catalogs will also be searchable, either manually or&#xD;automatically via agents, through application programming interfaces. All metadata catalogs&#xD;will adhere to Enterprise discovery interface standards to allow searches within a catalog or&#xD;across catalogs.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.1.4</SequenceIndicator
><Name
>Metadata Registry</Name
><Description
>Register Metadata Related to Structure and Definition</Description
><Stakeholder
/><OtherInformation
>The DoD Metadata Registry will contain all metadata related to data structures, models,&#xD;dictionaries, and schemas. The purpose of the Registry is to give developers and architects&#xD;visibility into methods to compose and encode data and to share usage across the Department.&#xD;Registration of such metadata is critical to achieve the data goals of interoperability and&#xD;understanding by promoting semantic and structural understanding.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.1.5</SequenceIndicator
><Name
>Inventory</Name
><Description
>Inventory Data Assets</Description
><Stakeholder
/><OtherInformation
>During transition to the new DoD Net-Centric Data Strategy, COIs may identify and prioritize&#xD;key data assets and services within their domain. These data assets or services may already exist&#xD;or they may be in development. In either case, COIs will identify the data assets and services&#xD;that must be made compliant with the data approaches. This prioritized list of data assets and&#xD;services will provide a focus for near-term COI initiatives to create metadata to advertise the data&#xD;and ensure that the data is available in shared space.</OtherInformation
></Objective
><OtherInformation
>Users and applications can discover the existence of data assets through catalogs, registries,&#xD;and other search services. All data assets (intelligence, nonintelligence, raw, and processed) are&#xD;advertised or “made visible” by providing metadata, which describes the asset.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.2</SequenceIndicator
><Name
>Data Accessibility</Name
><Description
>MAKE DATA ACCESSIBLE</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.2.1</SequenceIndicator
><Name
>Data Access and Sharing</Name
><Description
>Create Shared Spaces and Data Access Services</Description
><Stakeholder
/><OtherInformation
>Shared spaces—virtual and actual—will be created to provide a “store and serve” mechanism for&#xD;data assets. In addition, data access services will be created to help facilitate access to database&#xD;stores, business logic processes, and system data. Data access services are any mechanisms that&#xD;help expose data that is not otherwise available to users and applications. For example, a data&#xD;access service may be a registered, accessible software interface that allows users and&#xD;applications to extract information from an inventory database.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.2.2</SequenceIndicator
><Name
>Security-Related Metadata</Name
><Description
>Associate Security-Related Metadata</Description
><Stakeholder
/><OtherInformation
>Security-related metadata will be provided for each data asset as defined by the Security&#xD;Descriptors element set within the core layer of the DDMS (see Figure 7). Systems will be able&#xD;to control access to assets based on classification metadata. GES will allow data that was&#xD;typically inaccessible as a result of implementation barriers (e.g., distinct networks based on data&#xD;classification and prearranged accounts for access) to be available to users and applications that&#xD;have appropriate access needs. These services will permit access using security metadata,&#xD;technologies such as public key infrastructure (PKI), and role- and permission-based access&#xD;processes if adopted.</OtherInformation
></Objective
><OtherInformation
>Users and applications post data to a “shared space.” Posting data implies that (1) descriptive&#xD;information about the asset (metadata) has been provided to a catalog that is visible to the&#xD;Enterprise and (2) the data is stored such that users and applications in the Enterprise can&#xD;access it. Data assets are made available to any user or application except when limited by&#xD;policy, regulation, or security.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.3</SequenceIndicator
><Name
>Data Management</Name
><Description
>INSTITUTIONALIZE DATA MANAGEMENT</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.3.1</SequenceIndicator
><Name
>Leadership and Governance</Name
><Description
>Govern Data Processes With Sustained Leadership</Description
><Stakeholder
/><OtherInformation
>Best-practice studies have shown that cultural change is most effectively achieved when there is&#xD;sustained leadership commitment and institutionalization of new processes. The DoD CIO will&#xD;establish a DoD-wide net-centric governance process to promote and sustain successful data&#xD;management practices across COIs by reviewing and sharing metrics, best practices, and&#xD;incentive structures. This DoD-wide net-centric governance process will also provide oversight&#xD;of net-centric infrastructure development efforts.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.3.2</SequenceIndicator
><Name
>Processes and Practices</Name
><Description
>Incorporate Data Approaches Into Department Processes and Practices</Description
><Stakeholder
/><OtherInformation
>DoD Components will recognize and fund implementation of data approaches (e.g., providing&#xD;metadata, defining and registering metadata structures, and posting data). Planning,&#xD;programming, and budgeting system processes and policies, as well as acquisition processes and&#xD;policies, will be updated to reflect these approaches.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.3.3</SequenceIndicator
><Name
>Advocacy, Training, and Education</Name
><Description
>Advocate, Train, and Educate in Data Practices</Description
><Stakeholder
/><OtherInformation
>Best practices show that new operating practices are assimilated more quickly when consistently&#xD;promoted. The DoD CIO will continue to conduct the Data Strategy awareness campaign across&#xD;the Department, promoting and educating all users about their responsibilities and the benefits of&#xD;participation. The necessary tools to implement these approaches (e.g., DoD Metadata Registry,&#xD;catalogs, and shared spaces) will be identified and implemented. As these tools become&#xD;available, training and manuals will be provided.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.3.4</SequenceIndicator
><Name
>Metrics and Incentives</Name
><Description
>Adopt Metrics and Incentives</Description
><Stakeholder
/><OtherInformation
>The DoD-wide net-centric governance process will identify incentives and metrics. Users and&#xD;system developers will be guided by incentives to encourage and foster participation. Incentives&#xD;are intended to prompt users and developers to contribute to increased data visibility across the&#xD;Enterprise. Incentives may include rapid or continued funding for initiatives that implement&#xD;these data approaches (e.g., providing metadata in accordance with the DDMS). Incentives may&#xD;also include Enterprise-visible “top products” lists that cite specific sources that have been&#xD;especially valuable to users.&#xD;Metrics will be collected to track implementation and application of the approaches. Metrics&#xD;will be helpful in evaluating usage to ensure participation across the Department. Metrics also&#xD;serve as a means to evaluate the effectiveness of the overall Data Strategy. Measurement&#xD;techniques will be developed to ensure that metrics are captured in a useful and consistent&#xD;manner. Moreover, multiple publication methods such as metrics web sites and Enterprise- and&#xD;COI-specific metrics reports will be made available Department-wide to promote awareness of&#xD;data management successes and areas requiring improvement.</OtherInformation
></Objective
><OtherInformation
>Data approaches are incorporated into Department processes and practices. The benefits of&#xD;Enterprise and community data are recognized throughout the Department.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.4</SequenceIndicator
><Name
>Understandable Data</Name
><Description
>ENABLE DATA TO BE UNDERSTANDABLE</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.4.1</SequenceIndicator
><Name
>COI-Specific Ontologies</Name
><Description
>Define COI-Specific Ontologies</Description
><Stakeholder
/><OtherInformation
>COIs will be encouraged through metrics and incentives to develop an ontology that best reflects&#xD;the community understanding of their shared data. Ontologies include data categorization&#xD;schemes, thesauruses, vocabularies, key word lists, and taxonomies. Ontologies promote&#xD;semantic and syntactic understanding of data. For example, taxonomies enhance discovery by&#xD;providing a hierarchical means of searching for data while providing users and applications with&#xD;additional insights about data assets by indicating their placement among other data assets. COIdeveloped&#xD;vocabularies will define terms used in describing data assets, and the thesauruses will&#xD;identify related terms to assist translation services. Any community that establishes an ontology&#xD;will publish it to the DoD Metadata Registry to increase understanding across the Enterprise and&#xD;promote possible reuse.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.4.2</SequenceIndicator
><Name
>Content-Related Metadata</Name
><Description
>Associate Content-Related Metadata</Description
><Stakeholder
/><OtherInformation
>The summary content descriptors element set of the DDMS (see Figure 7) is specifically aimed&#xD;at providing “content-related” details about data assets. Content metadata provides topics,&#xD;keywords, context, and other content-related information. Content metadata gives users and&#xD;applications insight into the meaning and context of the data. Content metadata provides a basis&#xD;for search engines to perform searches for data assets that address specific topics.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.4.3</SequenceIndicator
><Name
>Format-Related Metadata</Name
><Description
>Associate Format-Related Metadata</Description
><Stakeholder
/><OtherInformation
>The format descriptors element set of the DDMS (see Figure 7) is used to describe details&#xD;pertaining to the format of the associated data asset. The format descriptors are useful when&#xD;trying to understand the physical manifestation of an asset. For example, the format descriptors&#xD;will provide information regarding the type of digital file (e.g., a Joint Photographic Experts&#xD;Group [JPEG] image, or an Audio Interchange File Format [AIFF]). In addition, the format&#xD;descriptors contain optional information that describes the extent of the asset, such as file size,&#xD;bit rate, and dimensions. Format-related metadata allows users and applications to narrow down&#xD;information searches and to select products that meet their particular operating constraints (e.g., a&#xD;user who is able to view only Graphic Interchange Format [GIF] images would not want to pull a&#xD;JPEG image).</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.4.4</SequenceIndicator
><Name
>COI-Specific Metadata</Name
><Description
>Define COI-Specific Content-Related Metadata</Description
><Stakeholder
/><OtherInformation
>To improve understanding, an extension of the discovery metadata standard is reserved for&#xD;domain-specific, or COI-specific, metadata. This is represented as the extensible layer of the&#xD;DDMS in Figure 7. With this extension layer, COIs will be able to provide context relevant to&#xD;their particular domain area and still be able to participate in Enterprise-wide search and&#xD;discovery. COIs will be required to register their COI-specific content metadata requirements in&#xD;the DoD Metadata Registry. These COI-specific metadata requirements may then be integrated&#xD;into appropriate Enterprise and community services such as search and mediation.</OtherInformation
></Objective
><OtherInformation
>Users and applications can comprehend the data, both structurally and semantically, and readily&#xD;determine how the data may be used for their specific needs.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.5</SequenceIndicator
><Name
>Trusted Data</Name
><Description
>ENABLE DATA TO BE TRUSTED</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.5.1</SequenceIndicator
><Name
>Pedigree and Security Metadata</Name
><Description
>Associate Data Pedigree and Security Metadata</Description
><Stakeholder
/><OtherInformation
>The Resource Descriptors elements of the DDMS (see Figure 7) allow identification of the&#xD;author, publisher, and sources contributing to the data, allowing users and applications to assess&#xD;the derivation of the data (i.e., data pedigree). This metadata allows users and applications to&#xD;select data from known sources. Reliable and quality sources will become more widely used,&#xD;enhancing overall data quality throughout the Enterprise as more data sources become visible.&#xD;The Security Descriptors elements of the DDMS (see Figure 7) allow security and privacy&#xD;markings consistent with established standards where applicable. For information assurance (IA)&#xD;and security, GES will provide auditing tools that can track access, by individual user, of each&#xD;data asset. GES may also provide access control to data assets based on security markings in the&#xD;metadata.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.5.2</SequenceIndicator
><Name
>Authoritative Sources</Name
><Description
>Identify Authoritative Sources</Description
><Stakeholder
/><OtherInformation
>COIs may identify authoritative sources for key data assets in their domain. The community will&#xD;publicize their identified authoritative sources to the Enterprise, thus allowing users and&#xD;applications to evaluate and understand the community- implied authority of data sources. COIs&#xD;may have to resolve potentially conflicting sources and, where appropriate, coordinate with the&#xD;DoD-wide governance body to identify authoritative source(s).</OtherInformation
></Objective
><OtherInformation
>Users and applications can determine and assess the authority of the source because the&#xD;pedigree, security level, and access control level of each data asset is known and available.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.6</SequenceIndicator
><Name
>Data Interoperability</Name
><Description
>SUPPORT DATA INTEROPERABILITY</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.6.1</SequenceIndicator
><Name
>Metadata Registration</Name
><Description
>Register Metadata</Description
><Stakeholder
/><OtherInformation
>Registration of metadata (e.g., eXtensible Markup Language [XML] components, database&#xD;segments, and data dictionary elements) is an important activity to support interoperability in a&#xD;net-centric environment. COIs will register their metadata components in the DoD Metadata&#xD;Registry. Registering metadata components to the DoD Metadata Registry supports many-to-many&#xD;interoperability by providing system architects and developers with insight into existing&#xD;data schemas that they can employ and extend.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.6.2</SequenceIndicator
><Name
>Format-Related Metadata</Name
><Description
>Associate Format-Related Metadata</Description
><Stakeholder
/><OtherInformation
>Users and systems can employ the elements of format descriptors to specify the extent (e.g., size&#xD;and dimension), type, and physical manifestation of assets. The format descriptors element set of&#xD;the DDMS (see Figure 7) supports interoperability by allowing systems and users to determine&#xD;the physical manifestation of data assets, which in turn helps to identify which tools and&#xD;capabilities are required to use the asset.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.6.3</SequenceIndicator
><Name
>System Interfaces</Name
><Description
>Identify Key Interfaces Between Systems</Description
><Stakeholder
/><OtherInformation
>Interface engineering in an environment of many-to-many exchanges requires an unrealistic&#xD;degree of interface control and an enormous commitment of resources. To facilitate&#xD;interoperability within a community, COIs can determine the appropriate focus and level of data&#xD;standardization within their community. This decentralized, distributed approach to&#xD;interoperability ensures that key interfaces and data structures are controlled when tightly&#xD;engineered interfaces are required. COIs will register metadata that results from interoperability&#xD;activities in the DoD Metadata Registry. Mediation services will use the registered metadata to&#xD;facilitate system interoperability between unanticipated interfaces as needed.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.6.4</SequenceIndicator
><Name
>Interface Standards</Name
><Description
>Comply With Net-Centric Interface Standards</Description
><Stakeholder
/><OtherInformation
>Developers will be responsible for adhering to published net-centric interoperability standards,&#xD;including data standards where applicable. Successful discovery and interoperability of data&#xD;assets depend on compliance with metadata standards (i.e., DDMS) and data exposure standards&#xD;(e.g., GES discovery interface standards). For example, data assets that are maintained by the&#xD;Department’s Records Management functions must provide a means for the Enterprise discovery&#xD;capability to query the inventory of their stored records. In doing so, these records management&#xD;applications should employ the DDMS to respond to Enterprise discovery queries.</OtherInformation
></Objective
><OtherInformation
>Many-to-many exchanges of data occur between systems through interfaces that are sometimes&#xD;predefined or sometimes unanticipated. Metadata is available to allow mediation or translation&#xD;of data between interfaces, as needed.</OtherInformation
></Goal
><Goal
><SequenceIndicator
>3.7</SequenceIndicator
><Name
>User Needs</Name
><Description
>BE RESPONSIVE TO USER NEEDS</Description
><Stakeholder
/><Objective
><SequenceIndicator
>3.7.1</SequenceIndicator
><Name
>User Involvement</Name
><Description
>Involve Users in COIs</Description
><Stakeholder
/><OtherInformation
>As described in Section 2.1, institutional COIs in particular are focused on ensuring the&#xD;implementation of these approaches. Institutional COIs will take the lead in creating catalogs,&#xD;defining ontologies, and developing COI-specific metadata. To adequately reflect user needs,&#xD;these COIs must engage a range of known users and developers in these activities.</OtherInformation
></Objective
><Objective
><SequenceIndicator
>3.7.2</SequenceIndicator
><Name
>User Feedback</Name
><Description
>Establish a Process To Enable User Feedback</Description
><Stakeholder
/><OtherInformation
>COIs, under the DoD CIO Enterprise-wide net-centric governance process, will establish&#xD;processes to evaluate and refine the user experience. Users may provide ratings for data sources,&#xD;catalogs, or services, and content metadata usability. Ratings may include factors such as ease of&#xD;use, applicability, or quality. These ratings will be published Enterprise-wide and used to&#xD;promote participation in posting, identifying, and sharing data assets. Overall, this Departmentwide&#xD;feedback and ratings process, coupled with improved data asset visibility, will increase the&#xD;integrity and quality of data. In addition, the feedback process allows COIs and data producers&#xD;to identify previously unanticipated users and applications.&#xD;To improve Enterprise data visibility, the process may allow users to identify needed data by&#xD;publishing a “data want ad” to a community or Enterprise collaboration space. In some cases, the&#xD;data may be available but not currently visible or accessible. Hence, the source may choose to&#xD;make it visible or accessible to the user or application. In other situations, providing the data&#xD;may not be available or cost-effective, and the user’s “want” will remain unfilled.</OtherInformation
></Objective
><OtherInformation
>Perspectives of users, whether data consumers or data producers, are incorporated into data&#xD;approaches via continual feedback to ensure satisfaction.</OtherInformation
></Goal
></StrategicPlanCore
>