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Transcript of FGDC Metadata and the Biological Data Profile Anchorage, AK January 25, 2006 Terry Giles IAPWWS @...
![Page 1: FGDC Metadata and the Biological Data Profile Anchorage, AK January 25, 2006 Terry Giles IAPWWS @ USGS-FORT terry_giles@usgs.gov (970) 226-9425.](https://reader030.fdocuments.us/reader030/viewer/2022033105/56649e195503460f94b05f53/html5/thumbnails/1.jpg)
FGDC Metadata and the Biological Data Profile
Anchorage, AKJanuary 25, 2006
Terry Giles
IAPWWS @ [email protected]
(970) 226-9425
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Metadata Workshop Topics
Metadata: what it is, why you need it, and how to write good metadata.
U.S. Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM) and the Biological Data Profile.
Implementation: decisions, challenges, and resources.
Tools and resources for metadata creation and management.
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Trainer’s Goals
Everyone learn / meet your goals for the class
Experience that metadata isn’t that scary
Have fun!
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Introduction: What are Metadata?
Definitions
Examples
Types of information included
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Introduction: What Are Metadata?
In your own words – what does “metadata mean to you?
Metadata are literally “data about data” - they describe the content, quality, condition, and other characteristics of the data.
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Metadata in the Real World
What are some everyday examples of “metadata”?
Examples: food product labels, library records, information on a video or DVD, published maps, etc., etc., etc.
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Working With Data
When you provideprovide data to someone else, what types of information would you want to include with the data?
When you receivereceive a dataset from an external source, what types of information do you want to know about the data?
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Metadata describes the Who, What, Where, Why, and How
Who created and maintains the data?
Why were the data created?
What is the content and structure of the data?
When collected? When published?
Where is the geographic location? Storage location?
How were the data produced?
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Mining Existing Resources
Metadata is not a new or alien concept.
We all have a strong history of documenting methodology, describing appropriate uses of the data, and writing summaries about data completeness and currentness.
What existing documentation (i.e. metadata) materials do you have in your program / office?
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Examples of existing “data about data” materials:
Methodology documentation Database help records BASIS+ project/task entries Data sharing and licensing agreements Project agreement, documentation and
reports Data requests – data use guidelines
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The Key Point:
All of us have personal experience
with creating metadata.
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The Value of Metadata
Data developers
Data users
Organizations
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Value to Data Developers?
Avoid duplication
Share reliable information
Publicize efforts
Reduce workload
Documenting data is critical to preserving its usefulness over time; without proper documentation, no data set is complete
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Value to Data Users?
Search, retrieve, and evaluate data set information both inside and outside organizations
Finding data - determine which data exist for a geographic location and/or topic
Applicability - determine if a
dataset meets your needs Access and transfer - acquire the dataset you
identified, process and use the dataset
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Value to Organizations?
Organizes and maintains an organization’s investment in data
Documentation of data processing steps, quality control, definitions, data uses and restrictions, etc.
Transcends people and time; offers data permanence and creates institutional memory
Saves time, money, frustration
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Value to Organizations?
“Advertising”: Provide information about datasets to data catalogs and clearinghouses
External data sharing and data transfer: Provide information that is critical for others to understand and correctly use your data
Helps share data with other agencies, lead to potential partnerships
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Value to All:
Data developers
Datausers
Organizations
MetadataMetadatahelps…helps…
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What’s new about metadata (i.e. why are we here today)?
Creating and managing metadata
in a standardizedstandardized format
using a common set of terms.
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Why Have a Metadata Standard?
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Why Have a Standard?
Helps you determine:
If a set of data is available and fit for your use
How to access and transfer the data set
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Why Have a Standard?
Helps to create:
Common terms
Common definitions
Common language
Common structure
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Why Have a Standard?
Establishes names of metadata elements and compound elements
Defines information about values provided for metadata elements
The standard serves as a uniform summary description of the data set
Online systems rely on documentation being predictable in form and content
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The Key to Using the Standard…
If you’re creating metadata for the first time, it may seem complex - stick with it
Don’t create your own version of the standard - you’ll only confuse people
Find the fields that are pertinent to your data and your organization’s needs
Build a template; use the template
Ask questions!
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Establishment of U.S. Metadata Standards
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Establishment of U.S. Metadata Standards
Executive Order 12906 (1994) Defines the responsibilities of the Federal
Geographic Data Committee (FGDC) Requires that metadata be available to the
public Requires creation of metadata for data sets
from 1995 forward
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FGDC’s Responsibilities
Federal Geographic Data Committee (FGDC) is responsible for coordinating:• development of National Spatial Data
Infrastructure• establishment of National Geospatial Data
Clearinghouse • development of standards• cooperative efforts with State, Local, and tribal
governments, and private sector • implementation of digital geospatial data
framework
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Executive Order 12906
Federal Agencies responsible for:• standardized documentation of all new data
collected or produced beginning in January 1995• plans to document data previously collected or
produced (legacy data) to the “extent practicable” • making metadata and data available to the public• utilize Clearinghouse to determine if data has
already been collected or cooperative efforts are possible
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FGDC Profiles and Extensions
Extension: extended elements to the standard are elements outside the standard but needed by the data set producer
Profile: document that describes the application of the Standard to a specific community
Examples: Biological Data Profile, Shoreline Data Profile, Remote Sensing Extensions
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Biological Data Profile:Defines Additional Elements
Taxonomy
Methodology
Analytical tools
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Biological Data Profile:Documents three types of data sets
Explicitly biological
Biological and geospatial
Explicitly geospatial
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National Research Council recommended in 1994 the establishment of a National Biotic Resource Information System to coordinate distributed databases and disseminate new data and information ~ NBII
NBII established a federation of biological information sources and tools to help users find biological information and to combine information from various sources.
NBII has a biological information focus, on both geospatial and non-geospatial data.
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International Organization for Standardization (ISO) Metadata Standard
ISO 19115 has been approved - an abstract standard that specifies general content for the metadata, but does not specify the format.
ISO 19139 is under development - XML implementation schema specifying the metadata record format.
The FGDC is developing metadata content for the U.S. National Profile of ISO 19139.
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International Organization for Standardization (ISO) Metadata Standard
ISO not yet the official U.S. metadata standard (important if need to provide FGDC-compliant metadata!).
Software tools under development.
Metadata created before the release of the ISO standard will not need to be altered.
Updates and more information: http://www.fgdc.gov/metadata/whatsnew/fgdciso.html
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Other Metadata Standards
Ecological Metadata Language (EML)Used for the Long-term Studies Section (LTSS) publicly
accessible registry describing scientific data sets on ecology and the environment.
http://knb.ecoinformatics.org/software/eml/
http://knb.ecoinformatics.org/knb/style/skins/ltss/index.html
Darwin CoreUsed for the Global Biodiversity Information Facility
(GBIF) portal of collection and observation data.http://darwincore.calacademy.org/
http://www.gbif.org/
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The FGDC CSDGM Standard and the Biological Data Profile
What the CSDGM Standard and the Biological Data Profile are
Details about the Sections and Terms of the Standard
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Biological Data Profile Workbook
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FGDC metadata standard: overview
Seven Major Metadata Sections: Section 1 - Identification Information*Section 2 - Data Quality Information Section 3 - Spatial Data InformationSection 4 - Spatial Reference Information Section 5 - Entity and Attribute Information Section 6 - Distribution Information Section 7 - Metadata Information*
Three Supporting Sections:Section 8 - Citation Information*Section 9 - Time Period Information* Section 10 - Contact Information*
* Minimum required metadata
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FGDC Metadata Standard: All the DetailsFGDC Metadata Standards:http://www.fgdc.gov/standards/status/textstatus.html
Content Standard for Digital Geospatial Metadata (CSDGM) (version 2.0), FGDC-STD-001-1998
http://www.fgdc.gov/metadata/contstan.html
Content Standard for Digital Geospatial Metadata, Part 1: Biological Data Profile, FGDC-STD-001.1-1999
(Note: The FGDC biological data profile is sometimes also referred to as the “NBII extension”)
http://www.fgdc.gov/standards/status/sub5_2.html
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FGDC Metadata Workbook & Graphic Representations
Primary FGDC digital geospatial metadata standard
http://fgdc.gov/metadata/meta_workbook.htmlhttp://biology.usgs.gov/fgdc.metadata/version2/
FGDC metadata including the Biological Data Profile
http://www.nbii.gov/datainfo/metadata/standards/BDP-workbook.doc
http://www.nbii.gov/datainfo/metadata/standards/bdp.html
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1.2.1 Abstract - a brief narrative summary of the data set.
Type: Text
Domain: free text
FGDC Metadata Element
Data Element Definition
Choice of integer, real, text, date
Valid values that can be assigned or “free text”, “free date”, or “free time”
Element number
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FGDC Graphic Representation
A tool to visually describe the structure of the metadata standard; depicting information, organization, reporting requirements, and structure of the standard through the use of ccoolloorr and the relationship of information through the use of symbologysymbology.
http://biology.usgs.gov/fgdc.metadata/version2/ http://www.nbii.gov/datainfo/metadata/standards/bdp.html
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Graphical Representation of the Elements
Section
10/06/95
Data Elements (raised 3-d boxes)
Compound Elements(not raised)
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How Are Elements Grouped?
Compound elements are composed of other compound or data elements. The composition is represented by nested boxes.
CompoundElement 1
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
10/06/95
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If an element can be repeated independently from other elements, a label below the element name states how many times the element may be repeated. If there is no label, the element does not repeat independently from other elements.
What Can Repeat? How Many Times?
CompoundElement 1
(can be repeatedunlimited times)
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
10/06/95
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What’s Mandatory? What’s Not?
Mandatory if applicable:Mandatory if applicable: must be provided if the data set exhibits the defined characteristic
MeaningData
ElementCompound
Element
Mandatory:Mandatory: must be provided
Optional:Optional: provided at the discretion of the data producerBiological Data ProfileBiological Data Profile elements (yellowyellow, greengreen, or blueblue with red red outline and textoutline and text).
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Navigating the FGDC Standard
Status
Progress
Maintenanceand UpdateFrequency
10/06/95
AttributeAccuracy
Quantitative Attribute
Accuracy Assessment
Attribute Accuracy
Value
AttributeAccuracy
Explanation
Attribute Accuracy
Report
Mandatory
Mandatory if Applicable
Optional
Keywords
Theme (can be repeated unlimited times)
Theme KeywordThesaurus
Theme Keyword(can be repeated...)
Place (can be repeated unlimited times)
Place KeywordThesaurus
Place Keyword(can be repeated...)
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How Do You Write Good Metadata?
Rules and Tips for Creating
Quality Metadata Files
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Good Metadata: Steps to Quality Metadata
Organize your information
Write your metadata
Review for accuracy and completeness
Have someone else read your file
Revise it, based on comments from your reviewer
Review it once more before you publish it
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Write simply but completely
Document for a general audience
Be consistent in style and terminology
Good Metadata: Keep your readers in mind
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Good Metadata: Think about the long-term effects Don’t use jargon Define technical terms and acronyms:
CA, LA, GPS, GIS Clearly state data limitations Don’t use ALL CAPITAL LETTERS Use subheadings and/or bulleted lists Cite examples Use “none” or “unknown” meaningfully
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Good Metadata: The Title
Critical in helping readers find your data.
A complete title includes: What, Where, When, Scale, Who
An informative title includes: Topic, Timeliness of the data, Specific information about place and geography
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Good Metadata: The Title
If the data are officially published, in the title include:
Series name Issue number Name of publisher Location of publisher
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Good Metadata: The Title
Which is better?• Rivers• Greater Yellowstone Rivers from 1:126,700 Forest
Visitor Maps (1961-1983)
Examples of useful titles:• Near Real Time Advanced Very High Resolution
Radiometer (AVHRR) Data-Satellite Imagery from NOAA CSC Coastal Remote Sensing Division
• Ace Basin, South Carolina National Estuarine Research Reserve Digital Line Boundary
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Vague: We checked our work and it looks complete.
Specific: We checked our work using 3 separate sets of check plots reviewed by 2 different people. We determined our work to be 95% complete based on these visual inspections.
Good Metadata: Be Specific, Quantify when you can
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Use unambiguous words
Use descriptive words
Fully qualify geographic locations – where is ‘Portland’?
Good Metadata: Select keywords wisely
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Don’t use symbols that might be misinterpreted
! @ # % { } | / \ < > ~! @ # % { } | / \ < > ~ Don’t use characters with dual interpretations Don’t use tabs or indents Be careful with the use of carriage returns Use “none” or “unknown” meaningfully
Good Metadata: Remember, a computer will read your metadata
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Have someone else read it If you’re the only reviewer, put it away
and read it again later Check for clarity and omissions Can a novice understand what you
wrote? Are your data properly documented
for posterity?
Good Metadata: Review your final product
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Does the documentation present all the information needed to use or reuse the data?
Are any pieces missing?
Good Metadata: Review your final product
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Taking a Closer Look: FGDC Metadata – Section by
Section
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8.1 OriginatorOriginator
name of an organization / individual that developed data set
8.2 Publication DatePublication Date
8.3 Publication TimePublication Time
8.4 TitleTitle
8.5 EditionEdition
BDP8.6 Geospatial Presentation Form Geospatial Presentation Form
Supporting Section 8: Citation Information
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8.7 Series InformationSeries Information
8.8 Publication InformationPublication InformationPlace and Publisher
8.9 Other Citation DetailsOther Citation Details
8.10 Online LinkageOnline Linkageonline resource for the dataset – a URL
8.11 Larger Work CitationLarger Work Citation
Supporting Section 8: Citation Information
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9.1 Single DateSingle DateOR
9.2 Multiple Date(s)Multiple Date(s)OR
9.3 Range of Date(s)Range of Date(s)
BDP allows use of Geologic Age information for the Time Period
Supporting Section 9: Time PeriodInformation
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10.1 Contact Person PrimaryContact Person Primary OR
10.2 Contact Organization PrimaryContact Organization Primary
10.3 Contact PositionContact Positiontitle of individual
10.4 Contact AddressContact AddressMinimal: type, city, state / province, postal code
10.5 Contact Voice TelephoneContact Voice Telephone
Supporting Section 10: Contact Information
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10.6 Contact TDD/TTY TelephoneContact TDD/TTY Telephone
10.7 Contact Facsimile TelephoneContact Facsimile Telephone
10.8 Contact Electronic Mail AddressContact Electronic Mail Address
10.9 Hours of ServiceHours of Service
10.10 Contact InstructionsContact Instructionssupplemental instructions on how or when to contact the
Contact Person or Organization
Supporting Section 10: Contact Information
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1.1 CitationCitationOriginator, Publication Date, Title
1.2 DescriptionDescriptionAbstract and Purpose
1.3 Time Period of ContentTime Period of ContentDate(s) and Currentness Reference
1.4 StatusStatusProgress and Maintenance
1.5 Spatial DomainSpatial DomainDescription of Geographic Extent; N, S, E, and W bounds
Section 1: Identification Information
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1.6 KeywordsKeywordsTheme Thesaurus and Keyword
BDP1.7 TaxonomyTaxonomyThesaurus, Keywords, Classification System, Procedures,Taxonomic Classification: rank and value
1.7 Access ConstraintsAccess Constraintsrestrictions and legal prerequisites for accessing the data;including protection of privacy or intellectual property
1.8 Use ConstraintsUse Constraintsrestrictions for using the data set after access is granted
1.9 Point of ContactPoint of Contact
Section 1: Identification Information
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Section 1: Identification Information
1.10 Browse GraphicBrowse Graphic1.11 Data Set CreditData Set Credit
recognition of those who contributed to the data set
1.12 Security InformationSecurity Information1.13 Native Data Set EnvironmentNative Data Set Environment
software used to create / analyze / export the dataset
1.14 Cross ReferenceCross Referenceother, related data sets that are likely to be of interest
BDP1.15 Analytical ToolAnalytical Tooltools, models, or statistical procedures
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2.1 Attribute AccuracyAttribute Accuracy
2.2 Logical Consistency ReportLogical Consistency Report
2.3 Completeness ReportCompleteness Report
2.4 Positional AccuracyPositional AccuracyHorizontal and Vertical
2.5 LineageLineageMethods used; Sources used; and Process Step
2.6 Cloud CoverCloud Cover
Section 2: Data Quality Information
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Section 2.5 Lineage: Taking a closer look
The lineage and process step metadata elements
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What do these have in common?
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What do the terms “lineage” and “process step” mean to you?
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Section 2.5 Lineage: Definition
“Information about the events, parameters, and source data which constructed the data set, and information about the responsible parties.”
What were the ingredients (source data)? How were they combined (process steps)? Who did the work (contact)?
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Mandatory
M if Applicable
Optional
What were the ingredients (source data)?
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How were they combined (process steps)?
Mandatory
M if Applicable
Optional
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Who did the work (contact)?
Mandatory
M if Applicable
Optional
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Section 2.5 Data Lineage and Process
Who would use this type of information?
What is its value?
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3.1 Indirect Spatial ReferenceIndirect Spatial Reference
3.2 Direct Spatial Reference Method Direct Spatial Reference Method
3.3 Point and Vector Object InformationPoint and Vector Object InformationType, Topology level, Count
OR
3.4 Raster Object InformationRaster Object InformationType, Count
Section 3: Spatial DataOrganization Information
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4.1 Horizontal Coordinate System DefinitionHorizontal Coordinate System Definition4.1.1 GeographicGeographic OR4.1.2 PlanarPlanar OR
4.1.2.1 Map Projection OR4.1.2.2 Grid Coordinate System OR4.2.2.3 Local Planar
4.1.3 LocalLocal 4.1.4 Geodetic ModelGeodetic Model
4.2 Vertical Coordinate SystemVertical Coordinate System4.2.1 Altitude System Definition4.2.2 Depth System Definition
Section 4: Spatial Reference Information
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5.1 Detailed DescriptionDetailed Description
5.1.1 Entity Typelabel, description & source for dataset features
5.1.2 Attributeslabel (field name), field definition,
definition source (authority ~ USGS, FIPS, etc.),
and domain values / valid values
AND/OR
Section 5: Entity and Attribute Information
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AND/OR
5.2 Overview DescriptionOverview Description
5.2.1 Entity and Attribute Overviewdetailed summary of the information contained in a data set
5.2.2 Entity and Attribute Detail Citationreference to the complete description of the entity types,
attributes, and attribute values for the data set
Section 5: Entity and Attribute Information
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Enumerated Domain: list of possible values (conservation status ranks, domain tables)
Range Domain: numeric values between limits (lat / long)
Codeset Domain: values defined by a set of codes (FIPS codes, Quad codes, HUC codes, USESA values)
Unrepresentable Domain: values not in a known predefined set (any text or comment field, common names)
Section 5: Attribute Domain Values
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6.1 DistributorDistributorContact information for obtaining the data set
6.2 Resource DescriptionResource DescriptionInternal identifier such as a dataset name or code
6.3 Distribution LiabilityDistribution Liability Liability statement regarding the data set
6.4 Standard Order ProcessStandard Order Processgeneral data request process, instructions, and fees
6.5 Custom Order ProcessCustom Order Process6.6 Technical PrerequisitesTechnical Prerequisites6.7 Available Time PeriodAvailable Time Period
Section 6: Distribution Information
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7.1 Metadata DateMetadata Datedate metadata created or last reviewed
7.2 Metadata Review DateMetadata Review Date
7.3 Metadata Future Review DateMetadata Future Review Date
7.4 Metadata ContactMetadata Contactperson or organization responsible for metadata content
7.5 Metadata Standard NameMetadata Standard Name
7.6 Metadata Standard VersionMetadata Standard Version
Section 7: Metadata Information
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7.7 Metadata Time ConventionMetadata Time Convention
7.8 Metadata Access ConstraintsMetadata Access Constraints
7.9 Metadata Use ConstraintsMetadata Use Constraints
7.10 Metadata Security InformationMetadata Security Information
7.11 Metadata ExtensionsMetadata ExtensionsExample: Biological Data Profile
Section 7: Metadata Information
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Implementation – Where Do You Go From Here?
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Implementation Decisions: Overview
Getting support for metadata development? What is a “data set?” What needs metadata? When is the best time to collect metadata? When should you document legacy data? Who is the metadata being created for? For what
purpose?• External - Clearinghouse, Projects, Internet• Internal - Data Library, Archives
Who should create the metadata?• Single individual or team approach
What metadata creation tools?
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Getting Support: The Value of Metadata is Organization Wide Saves time, money, frustration Preserve institutional memory and investment
in data; written documentation rather than in one person’s brain
Partnerships and “advertising” data collections, help share reliable information
Efficiency – identify and use existing datasets, avoid duplication of effort
Gives the data set creator(s) credit
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Funding Metadata Development
Internal funding options?
External - include as project deliverable / scope of work, therefore included in the project budget!
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Deciding what data sets need metadata? Dataset definitions: EO 12906, FGDC, NBII Historical data: NSDI “Guide for Federal
Agencies” Prioritize data sets: Mission critical, High
demand, Projects, Web downloadable, Legacy, Others?
Data inventory: Format, Resolution, Contacts, Geographic locations, etc
General rule of thumb: The “what if Joe Scientist gets hit by a bus tomorrow?” test
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Who contributes to creating a metadata file?
Single individual or team approach?
Team Leader / Project Manager
GIS Specialist
Field Personnel
Database Manager
Science Staff
Data Analysis Lead
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More Metadata Training & Info
FGDC metadata trainer directory FGDC metadata training calendarhttp://www.fgdc.gov/metadata/education.html NBII metadata training programhttp://www.nbii.gov/datainfo/metadata/training/index.html Other Training Materialshttp://www.csc.noaa.gov/metadata/ Email listhttp://lists.geocomm.com/mailman/listinfo/metadata
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Metadata Resources on the Web Federal Geographic Data Committee (FGDC):
http://www.fgdc.gov/metadata/metadata.html
http://fgdc.gov/metadata/meta_workbook.html
http://biology.usgs.gov/fgdc.metadata/version2/
National Biological Information Infrastructure (NBII) / Biological Data Profile:http://www.nbii.gov/datainfo/metadata/
http://www.nbii.gov/datainfo/metadata/standards/BDP-workbook.doc
http://www.nbii.gov/datainfo/metadata/standards/bdp.html
USGS metadata resource page (includes factsheets, FAQs, MP validation tool): http://geology.usgs.gov/tools/metadata/
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Metadata Tools and Resources
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Metadata Creation ToolsSoftware Name
SpatialCapture
Templates BDP Price
ArcCatalog (ArcGIS 8.x)
YES Import existing metadata, Advanced Synchronization tools
NO Part of ArcGIS 8.x
ArcView 3.xExtensions
YES Stores as.dbf files; can be reused as a “template”
NO Extensions are free
Metavist NO Stores as XML files; can start with existing metadata to use as a template
YES Free
SMMS YES YES – creates whole record templates, and citations & contacts
YES ~ $600
TKME NO Start with existing metadata record to use as a template
YES Free
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Metadata Creation Tools
Summary and review of a variety of metadata software tools:
http://www.sco.wisc.edu/wisclinc/metatool/index.html http://www.fgdc.gov/metadata/toollist/metatools797.html
Check back periodically – these review sites are updated on an ongoing basis!
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Metadata Validation Tools
CNS - “Chew-n-Spit” Pre-parser to prepare for using “MP” (probably
not needed if using tool such as ArcCatalog)http://geology.usgs.gov/tools/metadata/tools/doc/cns.html
MP - “Metadata Parser”Validation that metadata are FGDC compliant;
critical if posting metadata to an online clearinghouse
http://geology.usgs.gov/tools/metadata/tools/doc/mp.html
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CNS: “Chew-n-Spit” Pre-parser
Metadata formatting tool Pre-parser for formal metadata to convert records that
cannot be parsed by MP into records that can be parsed by MP
Uses ASCII text files from metadata creation tool Not all ASCII text files require CNS prior to using MP
Metadata Tool
CNSreview to MP
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MP: Metadata Parser
Metadata quality control and output configuration tool
Compiler to parse formal metadata Checks the syntax against the FGDC standard
(including the Biological Data Profile) Checks structure and values of elements Generates output suitable for viewing with a web
browser or text editor (can create .html, .sgml, .diff, and .xml files for serving on the clearinghouse or the Internet)
Reads ASCII text, XML, or SGML files
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MP: Correcting Errors
All errors must be fixed in the original metadata record (and then re-run through MP)
Errors are labeled with numbers - how can you find out where they are? • Open a DOS window and edit the file c:\metanbii\
cns_out.txt (the edit feature contains line numbers) OR
• View CNS output “cns_out.txt” in and use “Find” feature of WordPad to locate error
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Metadata Process Summary
Final OutputMP
Correct Errors
Output to MP
Metadata Tool
ClearinghouseClearinghouse
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Metadata software – a closer look
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ArcCatalog (ArcGIS 8.x or 9.x)
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ArcCatalog: Metadata Options
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ArcCatalog (ArcGIS 8.x or 9.x)
Advanced tools and customizations (such as specifying which parts of the metadata record to automatically update) can be downloaded from the ESRI ArcObjects website: http://arcobjectsonline.esri.com/
Select “Samples”, “Metadata”, “Tools”, see “Advanced Synchronization” or “Set Synchronized Properties”
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ArcCatalog: Advanced Synchronization
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ArcCatalog: Set Synchronized Properties
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ArcCatalog with NPS NBII Extension
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ArcView 3.x Extension: Metadata Collector v2.0
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Metavist 2005http://ncrs.fs.fed.us/pubs/viewpub.asp?key=2737
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Metavist 2005 Information
Author: David Rugg, USFS
Vendor: USDA Forest Service, North Central Research Station
Platform needed: Microsoft Windows 2000 or XP, with the Microsoft .Net Framework version 1.1.
Metadata stored as: XML files
Software license: NOT required
Software updates: Software new, not known
Cost: FREE
Request a copy: http://ncrs.fs.fed.us/pubs/viewpub.asp?key=2737
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Metavist 2005 Software Features Creates FGDC compliant metadata, including the
Biological Data Profile for the FGDC standard. Covers all FGDC elements plus Biological Data
Profile elements (Taxonomy, Methodology, and Analytical Tools).
Geospatial metadata elements NOT automatically collected from GIS data layers.
Metadata stored / output in XML format. Import existing metadata file (must be XML file with
proper formatting). Template – create a partial record with template
components, import to start a new metadata record.
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Spatial Metadata Management System (SMMS)
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TKME “Another editor for formal metadata”
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Metadata Clearinghouses: Sharing and Discovery
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Metadata clearinghouses
A metadata clearinghouse is a location — typically accessed through the Internet — to search for spatial data sets
Clearinghouses make metadata records easy to find
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Clearinghouse examples
FGDC Geospatial Data Clearinghousehttp://www.fgdc.gov/clearinghouse/clearinghouse.html
Montana State Library Natural Resource Information System GIS http://nris.state.mt.us/gis/
Nebraska Geospatial Data Clearinghouse http://www.dnr.state.ne.us/databank/geospatial.html
Wisconsin Land Information Clearinghouse http://www.sco.wisc.edu/wisclinc/
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National Geospatial Data Clearinghouse (NGDC) Has the people and infrastructure to help you
find out who has what geographic information.
Set of information services that use hardware, software, and telecommunications networks to provide searchable access to information .
Includes federal, state, university, and vendor participants in the United States and abroad.
User can search all or part of the community in a single session
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