session topics understanding the value and importance of proper data documentation michael moeller...
TRANSCRIPT
![Page 1: Session Topics Understanding the Value and Importance of Proper Data Documentation Michael Moeller – Metadata Specialist, NOAA CSC Metadata Servers and](https://reader031.vdocuments.mx/reader031/viewer/2022033106/5697c0211a28abf838cd2bcc/html5/thumbnails/1.jpg)
Session TopicsUnderstanding the Value and Importance
of Proper Data DocumentationMichael Moeller – Metadata Specialist, NOAA CSC
Metadata Servers and GatewaysJohn Ulmer – Senior Computer Analyst
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Michael MoellerNOAA Coastal Services Center
MetadataUnderstanding the Value
and Importance of ProperData Documentation
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Metadata - Documentation of geospatial data written in a consistent manner
Some Terms We Will Be Using
FGDC - Federal Geographic Data Committee
CSDGM - Content Standard for Digital Geospatial Metadata, referred to commonly as “The Standard” or “The Content Standard”
Clearinghouse - A distributed catalog of metadata
Geospatial - refers to a geographic location
First Things First
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What is
Metadata?
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Simply put, metadata is information
about your data.
What is Metadata?
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This is the metadata for this.
What’s Missing?
Emily and M
adison
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Author(s) Boullosa, Carmen. Title(s) They're cows, we're pigs / by Carmen Boullosa Place New York : Grove Press, 1997. Physical Descr viii, 180 p ; 22 cm. Subject(s) Pirates Caribbean Area Fiction. Format Fiction
Author(s) Boullosa, Carmen. Title(s) They're cows, we're pigs / by Carmen Boullosa Place New York : Grove Press, 1997. Physical Descr viii, 180 p ; 22 cm. Subject(s) Pirates Caribbean Area Fiction. Format Fiction
This is the metadata for this.
While the card-catalog entry is a form of metadata, it does not address topics such as
quality, accuracy, or scale. Well-written geospatial metadata describes these and many more aspects of the data.
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Identification_Information Citation Citation_Information Originator: NOAA Coastal Services Center Publication_Date: 19971131 Title: Hurricane Storm Surge Geospatial_Data_Presentation_Form: Map Publication_Information Publication_Place: Charleston, SC Publisher: NOAA Coastal Services Center Larger_Work_Citation Citation_Information
Identification_Information Citation Citation_Information Originator: NOAA Coastal Services Center Publication_Date: 19971131 Title: Hurricane Storm Surge Geospatial_Data_Presentation_Form: Map Publication_Information Publication_Place: Charleston, SC Publisher: NOAA Coastal Services Center Larger_Work_Citation Citation_Information
This is the metadata for this.
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We often use metadata
without even knowing it.
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Metadata contains vital information.Imagine, if you will…
You are given two identical cans without labels. One contains cat food, the other contains tuna (dolphin-safe, of course).
You must choose one these cans,
and then eat the contents.
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Other Examples?
What is Metadata?
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Metadata as
a Component
of Data
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Properly documented
data provides vital information
to interested parties.
A Component of Data
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Metadata is that component of data which describes it.
Environmental Sensitivity Index Data
Metadata
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
A Component of Data
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It’s data about a data set.
Title
Scale
Source
Content
Location
Publication
Access
Title
Scale
Source
Content
Location
Publication
Access
MetadataMetadataMetadataMetadata
GIS files
Imagery
Geospatial databases
GPS data
GIS files
Imagery
Geospatial databases
GPS data
Data setData setData setData set
A Component of Data
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Metadata describes…
CONTENT
CONDITION
QUALITY
Characteristics of the data
Characteristics of the data
A Component of Data
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Metadata is a critical component
of a complete data set.
A Component of Data
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Metadata
Non-spatial orattributes
Spatial
Because metadata provides vital information about a dataset, it should never be viewed or
treated as a separate entity.
Take Home Message
Metadata is a critical and
integral component of any complete
data set.
Metadata is a critical and
integral component of any complete
data set.
A Component of Data
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The Value
of Metadata
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“It takes a lot less time, and most people
won’t notice the difference until
it’s too late.”
The Predominant Attitude?
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Properly documenting a data
set is the key to preserving its usefulness
through time.
The Time Value of Metadata
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Two similar paintings by Picasso up for
auction sold for vastly different prices.
Why?
One had metadata...
...One didn’t.
The Time Value of Metadata
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Metadata should be updated to reflect changes in the data.
1980
HEWTeheran
British HondurasSnow measurementCape Hatteras Light
ArpanetI-95
I-495Mt. St. Helen
West Germany
2000
HHS & HUDTehranBelizeSnow measurementCape Hatteras LightInternetI-395I-95Mt. St. HelenGermany
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The Value of Metadata
Metadata has other value associated
with it.
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• Avoid duplication
• Share reliable information
• Publicize efforts
• Reduce workload
For data developers, metadata...
The Value of Metadata
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• Facilitates understanding
• Focuses on key elements
• Enables discovery — inside and outside of organizations
For data users, metadata...
The Value of Metadata
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For organizations, metadata...
The Value of Metadata
• Protect investment in data
• Create an institutional memory
• Counter personnel changes
• Allow sharing of data with other agencies
• Reduce costs
• Limit potential liability
• Save time and money
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Metadata as a “data discovery” tool
This saves time and money.
If it’s geospatial data you need, metadata helps
• Find data of interest
• Determine the usefulness of the data
• Determine how to access the data
The Value of Metadata
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This “data discovery” is all
accomplished through the use
of a clearinghouse, an on-line
searchable catalog of
standardized
metadata records.
The Value of Metadata
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StandardizedMetadata
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Why Have a Standard?
Think for a moment how hard it would be to…
… bake a cake without standard units of measurement.
… put gas into your car without standard nozzle sizes.
… plug a lamp into a socket without standard electrical outlets.
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Why Have a Standard?
The standard for
metadata ensures a level
of consistency in
data documentation.
Standards ensure consistency.
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Establishing a Standard
The Federal Geographic Data Committee (FGDC) was organized in 1990 under the
Office of Management and Budget to promote the coordinated use, sharing,
and dissemination of geospatial data on a national basis. The FGDC was tasked
with creating a metadata standard to meet these objectives.
The Metadata Standard
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"... each agency shall document all new
geospatial data it collects or produces, either
directly or indirectly, using the standard under
development by the FGDC, and make that
standardized documentation electronically
accessible to the Clearinghouse network."
The Content Standard for Digital Geospatial Metadata (CSDGM)
Executive Order 12906, 1994
Establishing a Standard
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This “Content Standard”
serves as a uniform
summary description
of the data set.
Establishing a Standard
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The Content Standard utilizes...
• Common terms
• Common definitions
• Common language
• Common structure Access
constraints
Citation
currentness
entity
attrib
ute
domain
lineage
Process step
Establishing a Standard
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The Content Standard…
• Establishes names of compound elements and data elements.
• Defines the information about the values that are to be provided for the data elements.
Type=“free text”Domain=Real
currentnessentity
attributeCitation
lineage
Establishing a Standard
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The Content Standard helps
the user determine...
• If a set of geospatial data is available and fit for a particular use.
•How to access and transfer the data set.
Establishing a Standard
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WhoWho collected the data?Who processed the data?Who wrote the metadata?Who to contact for questions?Who to contact to order?Who owns the data?
WhereWhere were the data collected?Where were the data processed?Where are the data located?
WhatWhat are the data about?What project were they collected under?What are the constraints on their use?What is the quality?What are appropriate uses?What parameters were measured?What format are the data in?
WhenWhen were the data collected?When were the data processed?
HowHow were the data collected?How were the data processed?How do I access the data?How do I order the data?How much do the data cost?How was the quality assessed?Why
Why were the data collected?
Metadata written using the Content Standard answers these important
questions:
Establishing a Standard
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The FGDC Workbook
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FGDC’s Metadata
Workbook
Defines the 334
metadata elements.
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What do I use “The Workbook” for?
• It is the definitive resource for applying the FGDC Content Standard.
• However, it does not define the production rules.
• It describes element domain values, which are valid values that can be assigned to the data element.
• It provides section and element definitions.
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• It is a quick reference for production rules and structure.
Use the “Graphical Representation”for quick access.
• You will still need to use the workbook to find the definition of a particular element and its domain.
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Playing the Metadata Game
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The Content Standard is organized using numbered chapters called “sections.”
There are 7 main sections and 3 supporting sections.
Each section is organized into series of elements that define the information
content for metadata to document a set of digital geospatial data.
Organization of the Content Standard
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DataQuality
Information
SpatialData
OrganizationInformation
SpatialReference
Information
Entityand
AttributeInformation
4 52 6 731
Metadata
The Three Supporting Sections
9 Time PeriodInformation
10 Contact
Information
8 Citation
Information
DistributionInformation
MetadataReference
Information
IdentificationInformation
Organization of the Content Standard
The Seven Main Sections
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Organization of the Content Standard
Each section begins with the name and definition of the section. These are
followed by the component elements of the section.
Each section provides the names and definitions of its component elements, information about the types of values
that can be provided for the elements, and information about the elements
that are mandatory or repeatable.
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Interpreting the Graphical Production Rules
The workbook uses graphics to illustrate the production rules of the standard. These graphics include most of the information provided by the production rules, including:
How elements are grouped. What is mandatory and what is not. What elements can repeat and how many
times they can repeat.
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Interpreting the Graphical Production Rules
SectionSections are depicted by this symbol.
Compound Element
Compound elements are depicted using a 2-dimensional box.
Data Element
Data elements are depicted using a 3-dimensional box
with shadow.
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Interpreting the Graphical Production Rules
Data Element
A data element is a logically primitive itemof data. Data elements are the things thatyou “fill in.”
The form for the definition of a data element is:
Data element name -- definition.Type: (choice of “integer”, “real”, “text”, “date”, or “time”)Domain: (describes valid values that can be assigned)
An example of the definition of a data element is:
Abstract -- a brief narrative summary of the data set.Type: textDomain: free text
Note: Data element definitions are containedin the text of the Content Standard,
not in the graphical production rules.
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CompoundElement 1
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
How Elements Are Grouped
Compound elements are composed of other compound and data elements. The composition is represented by
nested boxes.
Compound Element 1 is composed of
Compound Element 1.1 and
Data Element 1.2.Compound Element 1.1
is composed of Data Element 1.1.1
and Data Element 1.1.2.
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Mandatory - must be provided.
MeaningData
ElementCompound
Element
What’s Mandatory? What’s Not?
Mandatory if Applicable - must be provided if the data set exhibits
the defined characteristic.
Optional - provided at the discretion of the data set producer.
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If an element can be repeatedindependently from other elements, itwill be indicated as such below theelement name.
Repeating Elements
CompoundElement 1
(can be repeatedunlimited times)
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
This group of elements
would repeat.
Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2
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Using the Graphics to Make Decisions
All elements are colored yellow, so all are mandatory and must be reported.
CompoundElement 1
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
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Compound Element 1 is mandatory.
Compound Element 1.1 is optional.
If yes, Data Elements 1.1.1 and 1.1.2 are mandatory.
If no, do not report Compound Element 1.1, Data Element 1.1.1 or 1.1.2, and skip to Data Element 1.2.
Data Element 1.2 is mandatory.
CompoundElement 1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
CompoundElement 1.1
Using the Graphics to Make Decisions
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Compound Element 1 is mandatory.
Compound Element 1.1 is mandatory.
Data Element 1.1.1 is mandatory.
Data Element 1.1.2 is mandatory if
applicable.
Data Element 1.2 is optional.
CompoundElement 1
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
Using the Graphics to Make Decisions
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Compound Element 1 is mandatory if applicable. If not applicable to the data set, do not report any elements. If applicable, it is mandatory and:
Compound Element 1.1 is mandatory.
Data Element 1.1.1 is mandatory if applicable. If not applicable,
do not report it. If applicable, it is mandatory.
Data Element 1.1.2 is mandatory.
Data Element 1.2 is optional.
CompoundElement 1
CompoundElement 1.1
DataElement 1.1.1
DataElement 1.1.2
DataElement 1.2
Using the Graphics to Make Decisions
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WritingMetadata
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It’s not THAT bad!
• First records are the hardest.• Not all fields may need to be filled in.• Tools are available.• Training classes can be taken.• Can often be produced automatically.• Can (and should) be reviewed
for updates.
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Before you begin writing,get organized.
Writing Metadata
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Document your data as you go.
Writing Metadata
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Write so others can understand.
Writing Metadata
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Always review your document.
Writing Metadata
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Items required
Sense of Humor!
Chocolate
FGDCWorkbook
Metadata entry tool
Coffee
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• Write simply but completely.
• Document for a general audience.
• Be consistent in style and terminology.
Keep your readers in mind.Writing Metadata
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• Define all acronyms.
• Avoid using jargon.
• Clearly state data limitations.
Writing Metadata
Keep your readers in mind.
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Write a complete title that includes:
• What• Where• When• Scale• Who
Writing Metadata
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The title is critical in helping others find your data.
Which is better?
Greater Yellowstone Rivers from 1:126,700 Forest Visitor Maps (1961-1983)
Writing Metadata
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Be specific. Quantify when you can.
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.
Writing Metadata
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Select your key words wisely.
• Use unambiguous words.
• Use descriptive words.
• Fully qualify geographic locations.
Writing 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.
Review your final product.
Writing Metadata
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• Can a novice understand what you wrote?
• Are your data properly documented for posterity?
When you review your work, ask:
Writing Metadata
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• 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
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Tool Time
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Tool Time
A sample of some of the available tools for metadata creation, validation, and publication.
• CNS and MP“Chew ‘n spit,” checks and corrects structural errors, and “Metadata Parser”, which checks for errors in element compliance.
• NOAA CSC MetaScribe Allows you to create a template record that can be used to create large numbers of similar records.
• NOAA CSC ArcView Metadata Collector Extension for ArcView 3.x.
• TKMEText editor used for metadata entry.
• Commercially available software
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Metadata Entry Tools
TKME An editor for formal metadata, TKME is intended to
simplify the process of creating metadata that conform to the standard.
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NOAA CSC ArcView ® Metadata Collector The ArcView® Metadata Collection Tool was developed by the National Oceanic
and Atmospheric Administration (NOAA) Coastal Services Center in ArcView using
the Avenue® scripting language. This tool collects and compiles Federal
Geographic Data Committee (FGDC)-compliant metadata for ARC/INFO
coverage's, shapefiles, grids and supported image formats.
Metadata Entry Tools
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NOAA CSC MetaScribeMetaScribe is a template driven application designed to significantly reduce the
labor required to produce a collection of FGDC-compliant metadata records with
similar content.
Metadata Entry Tools
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TKME, along with CNS, and MP, are available as free downloads from the United States Geological Survey (USGS) Website. (geology.usgs.gov/tools/metadata)
Tool Time
The NOAA CSC Metadata Collector Extension for ArcView 3.x is downloadable from the NOAA CSC Web site. (www.csc.noaa.gov/metadata)
The NOAA CSC MetaScribe is accessible from the NOAA CSC Web site. (www.csc.noaa.gov/metadata/)
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Finally...
Remember, metadata is a legacy document that
concisely sums up your data or data set.
Without metadata, your data set is
incomplete.