Actionable Awareness. 5/12/2015 TEI Proprietary TEI Proprietary

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Transcription:

Actionable Awareness Data - well defined, pedigreed, and connected. Information intelligently integrated data Knowledge carefully applied information to a subject area Actionable Awareness correctly applied knowledge to gain desired outcome 5/12/2015 TEI Proprietary TEI Proprietary 1

Exceptional Data Analytics Yields Actionable Awareness TEI is an expert in knowledge engineering, the first step in Data Analytics Good data specification is the first basic and most neglected step of Data Analytics Goal: unambiguous data specification We leverage the work of the International Organization for Standardization and the International Electrotechnical Commission ISO/IEC 11179 standard entitled Information technology Metadata registries (MDR), an international standard for data specification 5/12/2015 TEI Proprietary 2

Purpose of ISO/IEC 11179 Make data Understandable and Shareable through: Standard description of data Common understanding of data across organizational elements and between organizations Re-use and standardization of data over time, space, and applications Harmonization and standardization of data within an organization and across organizations Management of the components of data Re-use of the components of data 3

Knowledge Engineering the Basis for Data Analytics Classification Scheme Naming & Definition Conventions Supporting Data Models Database Schema Model Mapping Physical Database Common Reference Model Metadata Registry Repository Data Governance Group HTML Word TEI Proprietary ISO/IEC 11179 Information Technology - Metadata Registries: an international standard for data specification Metadata data about data; In our case it is data that unambiguously specifies and links data Metadata Registry - is an internal database that will store the data about the artifacts submitted to the Repository. Model-Based Data Engineering (MBDE): a specific data engineering approach based on the creation of a Common Reference Model as the central hub for data understanding and interchange 5

Reference Repository Place where anyone within a Community of Interest (COI) can search, download, and submit standards, metadata, and data models Enables a data engineering approach resulting in unambiguous data definition and data relationship use throughout the COI Governed by the COI s Configuration Control Board Supported by subject matter experts and data modelers from the COI Needs to be thorough and responsive Key to a Service Oriented Architecture (SOA) and Net-Centricity. Typically requires a web-based portal 6

Common Reference Model Information Exchange Data Model Does not replace any local models Is not the enterprise wide data model Unambiguous definition of entities, attributes, and their relations Arrived at through Harmonization ATEC TTD January 2008 8

Data Definition Objectives A data definition needs to: state the essential meaning of the data element be precise and unambiguous Also need: conventions guidelines 10

Naming Principles Basic Name Parts Semantic Rules Syntactic Rules Lexical Rules Uniqueness Rule Valid Representation Class Terms Valid Acronyms, Abbreviations, Initialism 11

Definitions Guidelines be concise be able to stand alone be expressed without embedding rationale, functional usage, or procedural information avoid circular reasoning use the same terminology and consistent logical structure for related definitions be appropriate for the type of metadata item being defined 12

Definitions Conventions Data definitions shall: be stated in the singular form state what the concept is, not what it is not be stated as a descriptive phrase or sentence(s) contain only commonly understood abbreviations be expressed without embedding definitions of other data or underlying concepts not be the data element name 13

Example 1 Object Qualifier Term Object Class Term Property Qualifier Term Property Term Representation Term Ground Platform Body Length Value The Logical Data Element Name is: Ground Platform.Body Length Value 14

For Additional Information Please Contact: Mr. Joseph Benischek, Founder and President 443-883-1819 benischekj@tecenginc.com Visit our web site www.tecenginc.com 15