Entities & Attributes Overview By the end of this section participants will be able to discuss the main components of Section 5, and be able to incorporate.

Slides:



Advertisements
Similar presentations
WP5 – Chapter 7. Harmonisation Harmonisation of geometry, data definitions, data models, naming ISSUES: MS deliveries are described in WP 4.1 in an enhanced.
Advertisements

Oregon Spatial Data Library Partnership Metadata Training OU Knight Library Eugene, Oregon December 3, 2009 Kuuipo Walsh Institute for Natural Resources.
Geog 458: Map Sources and Errors Uncertainty January 23, 2006.
Searching the University of Alberta Library’s Statistics Canada-based Websites 2001 Census of Canada Canadian Centre for Justice Statistics Canadian Business.
Completeness February 27, 2006 Geog 458: Map Sources and Errors.
Gregory Steffens Novartis Associate Director, Programming NJ CDISC Users’ Group 17 April 2014 Supplemental Qualifiers.
Data Quality Data quality Related terms:
Metadata Understanding the Value and Importance of Proper Data Documentation James Wilson James Madison University John McGee, Ph.D. Adapted from: The.
Oy What is Metadata? j of Metadata. Metadata 101 joy of Metadata Common terms What is metadata? Why metadata?
Geo-referenced data and DLI aggregate data sources Chuck Humphrey University of Alberta ACCOLEDS 2007.
ISO Standards: Status, Tools, Implementations, and Training Standards/David Danko.
Transitioning from FGDC CSDGM Metadata to ISO 191** Metadata National Coastal Data Development Center A division of the National Oceanographic Data Center.
Environment Change Information Request Change Definition has subtype of Business Case based upon ConceptPopulation Gives context for Statistical Program.
©2012 Applied Geographics, Inc.Slide 1 How to Put GIS To Work for Voting Redistricting Empowering People with Spatial Solutions Michele.
What is a database? An organized collection of data. This can be in an electronic, paper, or other format. Types of databases Operational -constantly changing.
TEIS Process Overview Create TEISID StandardizeNoData ValidateGeometry ValidateDomains ValidateRange CreateErrorSummary Load data to Contractor Package.gdb.
Michael Byrne Geographic Information Officer National Broadband Map Update.
Building Blocks The process of creating decennial census tabulation blocks. GeoElections User’s Conference October 6 th, 2011 Tampa, Florida.
CSCI 3140 Module 2 – Conceptual Database Design Theodore Chiasson Dalhousie University.
Using IPUMS.org Katie Genadek Minnesota Population Center University of Minnesota The IPUMS projects are funded by the National Science.
Introduction to Geospatial Metadata – ISO 191** Metadata National Centers for Environmental Information (NCEI)
Metadata Creation and Validation Methods. Writing Metadata.
Introduction to Geospatial Metadata – ISO 191** Metadata National Coastal Data Development Center A division of the National Oceanographic Data Center.
February 17, 1999Open Forum on Metadata Registries 1 Census Corporate Statistical Metadata Registry By Martin V. Appel Daniel W. Gillman Samuel N. Highsmith,
Methodology - Conceptual Database Design. 2 Design Methodology u Structured approach that uses procedures, techniques, tools, and documentation aids to.
Introduction to Geospatial Metadata – FGDC CSDGM National Coastal Data Development Center A division of the National Oceanographic Data Center Please .
GEOG3025 Census and administrative data 1: Sources and methods.
Units of Analysis The Basics. Outline An illustration Definitions Elements of the unit of analysis Complexity Data structure.
Data modeling using the entity-relationship model Chapter 3 Objectives How entities, tuples, attributes and relationships among entities are represented.
Introduction to Geospatial Metadata – FGDC CSDGM National Coastal Data Development Center A division of the National Oceanographic Data Center Please .
Metadata Understanding the Value and Importance of Proper Data Documentation Michael Moeller Metadata Specialist NOAA Coastal Services Center.
2008 EPA and Partners Metadata Training Program: 2008 CAP Project Geospatial Metadata: Introduction Module 1: Introduction & Overview of the FGDC CSDGM.
Metadata for Managers Michael Moeller Metadata Specialist NOAA Coastal Services Center.
Metadata Training for Gulf Restoration Partners Module 1 – Introduction to Metadata and Metadata Standards.
The FGDC and Metadata. To maintain an organization's internal investment in geospatial data To provide information about an organization's data holdings.
Characterizing Rural England using GIS Steve Cinderby, Meg Huby, Anne Owen.
Special Considerations for Archiving Data from Field Observations A Presentation for “International Workshop on Strategies for Preservation of and Open.
United Nations Workshop on Evaluation and Analysis of Census Data, 1-12 December 2014, Nay Pyi Taw, Myanmar DATA VALIDATION-I Evaluation of editing and.
Introduction to Geospatial Metadata Module 1 – Introduction to Metadata and Metadata Standards.
TerraPop Mission Enabling research, learning, and policy analysis by providing integrated spatiotemporal data describing people and their environment.
GEM METADATA DEVELOPMENT Xiaoping Wang, Macrosearch Allen Macklin, PMEL and Bernard Megrey, AFSC.
Framework for the Specification and Standardization of Data Elements Part1 of ISO/IEC by Daniel W. Gillman, editor.
Understanding the Value and Importance of Proper Data Documentation 2-1 At the conclusion of this module the participant will be able to Describe the relationship.
Metadata Content Entering Metadata Information. Discovery vs. Access vs. Understanding Cannot search on content if it is not documented. Cannot access.
Session 5: International Standard Classification of Status in Employment, 1993 (ICSE-93) David Hunter International Labour Office Department of Statistics.
Getting Familiar with Metadata Laurie Porth Rocky Mountain Research Station Audience: Scientists/researchers who have heard of metadata and now need to.
Modeling Security-Relevant Data Semantics Xue Ying Chen Department of Computer Science.
1 Agribusiness Library LESSON L060037: DEVELOPING A MARKETING PLAN.
Content Standards for Digital Geospatial Metadata Mandatory Legend Identification Information Data Quality Information Spatial Data Organization Information.
CLASS Metadata and Remote Sensing Extensions CLASS Data Provider’s Conference September 2005 Anna Milan, Ted.Habermann,
Awareness Training: ‘HARPC’ for Food Safety Complimentary Presentation by Quality Systems Enhancement 1790 Wood Stock Road Roswell GA E. mail:
Demystifying Metadata Examining and Understanding the Elements of the Content Standards for Geospatial Metadata.
Understanding the Value and Importance of Proper Data Documentation 5-1 At the conclusion of this module the participant will be able to List the seven.
How Do You Write Good Metadata? Steps to Quality Metadata Organize information Write your metadata file Review your file Have someone review Revise it.
Data Quality Data quality Related terms:
Relational Databases.
Chapter 5: The Art of Ensuring Integrity
Instructor Materials Chapter 5: The Art of Ensuring Integrity
Data Management: Documentation & Metadata
Four Levels of Data from Ricardo’s Database Illuminated
Business Plan Structure
Units of Analysis The Basics.
Instructor Materials Chapter 5: The Art of Ensuring Integrity
Metadata The metadata contains
The ultimate in data organization
Reference Guide Urban Audit
Generalization Abstraction And Method
Instructor Materials Chapter 5: Ensuring Integrity
G061 - Data Dictionary.
Kimberly Sparks, GISP and Evan O’Keefe
Presentation transcript:

Entities & Attributes Overview By the end of this section participants will be able to discuss the main components of Section 5, and be able to incorporate section 5 into the practice record at the end of the Workshop.

Metadata describes Metadata is information about data Metadata describes the characteristics of the data –How it was produced –Data Sources –The currentness of the data –The spatial parameters of the data set –Accuracy of the lines –Plus much more

Section 5 is the component of metadata which describes the data table. Environmental Sensitivity Index Data RARNUM - unique combination of species, concentration, and seasonality CONC (concentration) = Density species is found at location Season_ID = seasonality code like to the seasonal table Element - Biology group Metadata

Entity and Attribute Section Detailed_Description: Entity_Type: Entity_Type_Label: Population Entity_Type_Definition: U.S. Population in 1,000 aggregated by census geography and year. Entity_Type_Definition_Source: NOS, Special Projects Attribute: Attribute_Label: c_popul Attribute_Definition: Total Population (Units: persons) Attribute_Definition_Source: NOS, Special Projects Attribute_Domain_Values: Unrepresentable_Domain: Variable by location and year Attribute: Attribute_Label: c_urbn Attribute_Definition: Urban Population (Units: persons) Attribute_Definition_Source: NOS, Special Projects Attribute_Domain_Values: Unrepresentable_Domain: Variable by location and year

Overview Description Dataset covers the following general areas, population, age, structures, income distributions, employment, educational attainment, and residential mobility aggregated by geographic area.

Detailed Description Detailed_Description: Entity_Type: Entity_Type_Label: Population Entity_Type_Definition: U.S. Population in 1,000s aggregated by census geography and year. Entity_Type_Definition_Source: NOS, Special Projects Attribute: Attribute_Label: c_popul Attribute_Definition: Total Population (Units: persons) Attribute_Definition_Source: NOS, Special Projects Attribute_Domain_Values: Unrepresentable_Domain: Variable by location and year Attribute: Attribute_Label: c_urbn Attribute_Definition: Urban Population (Units: persons) Attribute_Definition_Source: NOS, Special Projects Attribute_Domain_Values: Unrepresentable_Domain: Variable by location and year

Definitions Entity - the definition and description of a set into which similar entity instances are classified. Attribute - a defined characteristic of an entity.

Deciding the Entities and Attributes Entity Road Table Attribute Road Location Road Type Length Breakdown

Deciding the Entities and Attributes Entity Road Location Road Type Length Attribute of Road Type Breakdown

Entity Type Entity Type Label: c_popul Entity Type Definition: Total Population (Units: persons) Entity Type Definition Source: NOAA Required Fields

Attribute Attribute Label: c_popul Attribute Definition: Total Population (Units: persons) Attribute Definition Source: NOAA Attribute Domain Values: Range Domain: Range Domain Minimum: 1000 Range Domain Maximum: Required Fields

Enumerated Domain – A fixed list of values Attribute Domain Value: Enumerated Domain: Enumerated Domain Value: 1 Enumerated Domain Value Definition: Bike Trail Enumerated Domain Value Definition Source: Test Company

Codeset Domain – Standardized List of Values Attribute Domain Value: Codeset Name: Federal Information Processing Standards Codes Codeset Source: National Institute of Standards and Technology

Range Domain – A series of measurements where you would provide the minimum and maximum values Attribute Domain Value: Range Domain: Range Domain Minimum: 0.5 Range Domain Maximum: 3

Unrepresentable Domain – Unique values such as names which cannot be easily summarized Attribute Domain Value: Unrepresentable Name: Unique Values, Road Names

Additional Things to Think About - Definitions Entity Type Entity Type Label: YEAR Entity Type Definition: year Entity Type Definition Source: NOAA Entity Type Entity Type Label: YEAR Entity Type Definition: Fiscal year Entity Type Definition Source: NOAA

Additional Things to Think About - Units Attribute Attribute Label: Depth Attribute Definition: Water Depth Attribute Definition Source: NOAA Attribute Domain Values: Range Domain: Range Domain Minimum: 0.5 Range Domain Maximum: 3

Additional Things to Think About - Completeness Attribute Attribute Label: 2013 Attribute Definition: S Attribute Definition Source: NOAA Attribute Domain Values: Unrepresentable Domain: Fixed Value

Additional Things to Think About - Labels Attribute Attribute Label: Anthrax Attribute Definition: Anthracene Attribute Definition Source: NOAA Attribute Domain Values: Unrepresentable Domain: Fixed Value

Finally... Remember, dataset definitions are an important part of ensuring long-term data integrity. Provide complete definitions that are understood by others outside of the project and when appropriate the units of measure.

Have someone else read it. If you’re the only reviewer, put it away and read it again later. Check for clarity and omissions. Review your final product. Writing Metadata

Does the documentation present all the information needed to use or reuse the data? Are any pieces missing? When you review your work, ask: Writing Metadata

5. Entity_and_Attribute_Information: (p. 75) Database design entities, attributes, domains, description of data values