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FGDC CAP Kickoff Meeting Denver, CO September 28-29, 2004 1 Introduction to Metadata Lynda Wayne GeoMaxim / FGDC.

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Presentation on theme: "FGDC CAP Kickoff Meeting Denver, CO September 28-29, 2004 1 Introduction to Metadata Lynda Wayne GeoMaxim / FGDC."— Presentation transcript:

1 FGDC CAP Kickoff Meeting Denver, CO September 28-29, 2004 1 Introduction to Metadata Lynda Wayne GeoMaxim / FGDC

2 2 Introductions  Name  Organization  Metadata Experience  Workshop Expectations

3 3 Objectives After the workshop, students can: develop a metadata template that uses a range of mandatory, conditional, & optional CSDGM elements effectively read and comprehend metadata make the business case for metadata discriminate between minimal and quality metadata locate and access online resources

4 4 What IS Metadata? Data ‘reporting’ WHO created the data? WHAT is the content of the data? WHEN was it created? WHERE is it geographically? HOW was the data developed? WHY was the data developed?

5 5 What IS Metadata? title supplemental information abstract time period author sources (file) size

6 6 What IS Metadata? entity attributes view actual metadata record

7 7 Let’s Make Metadata Turn to your neighbor and document the following:  Title (name)  Theme Keywords (work, play, life)  Supplemental Information

8 8 Value of Metadata Preserves investments in geospatial data development people forget…………..people move on

9 9 Value of Metadata Serves as a valuable resource to data use and analysis

10 10 Projection? Attributes? Time Period? Value of Metadata Provides data consumers & stewards: a common language a context for data resources needed information about the data Albers, I think? Yes I’ll have get back to you…

11 11 Value of Metadata Supports data management maintenance and update project status value assessment / cba project estimates deliverable and performance measures

12 12 Value of Metadata

13 13 Who creates metadata? Officially Federal organizations producing digital geospatial data Federally funded projects that produce digital geospatial data Morally and practically Anybody that creates digital data It’s the right thing to do!

14 14 Why metadata? Be a part of the BIG picture Federal Geographic Data Committee (FGDC) - coordinates national geospatial data development National Spatial Data Infrastructure (NSDI) - creation and distribution of seamless national geospatial data Global Spatial Data Infrastructure (GSDI) - creation and distribution of seamless global geospatial data

15 15 Why metadata? National Spatial Data Infrastructure Old perspective…………………. ……………………………….New perspective

16 16 Why metadata? NSDI Framework Data - cooperatively-designed data dictionaries for seven key ‘reference’ themes Elevation and Bathymetry Hydrography Geodetic Control Cadastral Transportation Governmental Units Orthoimagery

17 17 Why metadata? NSDI Geospatial Data Clearinghouse - international network of metadata distribution ‘nodes’ FGDC EROS ESRI NRCS NOAA CSC ALASKA GDC international GINA AGDC ASGDC Anchorage state / local national query available metadata records user internet Clearinghouse nodes

18 18 Why metadata? NSDI Geospatial One Stop metadata and links to data webmapping services data acquisition plans data category communities … tracking the NSDI

19 19 Why Metadata? FGDC Geospatial One-stop National Map data access coordination national state local private metadata services community policies standards partnerships

20 20 How Do I Create Metadata? the metadata gospel… It’s not pretty It’s not easy But sure is thorough….. CSDGMCSDGM ISOISO

21 21 CSDGM 1. Identification Information General bibliographic information including: title, originator, data contact, status, date, time period of content, abstract, purpose, keywords, geographic location 2. Data Quality Information Lineage and data assessments sources, process methods, accuracy, data processing contact

22 22 CSDGM 3. Spatial Data Organization Data format: vector, point, raster 4. Spatial Reference Information Coordinate system parameters: horizontal / vertical coordinate system, projection, datum

23 23 CSDGM 5. Entity and Attribute Information Database design entities, attributes, domains, description of data values 6. Distribution Information How to acquire the data distribution contact, available formats, online distribution website, costs

24 24 CSDGM 7.Metadata Reference Information General information about the metadata record itself metadata contact, metadata standard used, metadata creation date, metadata review date

25 25 CSDGM Elements

26 26 CSDGM Elements

27 27 CSDGM Elements

28 28 CSDGM Elements Turn to page 35 in the Green Book

29 29 CSDGM Elements

30 30 CSDGM Elements Calendar Dates YYYYMMDD Time of Day HHMMSSSS Coordinates Lat/Lon Decimal Degrees Network addresses & file names Service://hostname:port/path/filename

31 31 CSDGM Production Rules

32 32 CSDGM Production Rules

33 33 CSDGM Production Rules

34 34 CSDGM Production Rules

35 35 CSDGM Production Rules

36 36 CSDGM

37 37 CSDGM Section One: Identification Elements you use to ‘shop’ for a data set of interest: WHO ?title, originator, publication date WHAT ?abstract, keywords, native data set (software) environment WHERE ?geographic extent (mbr), browse graphic WHEN ?time period of content Availability?access/use constraints, status

38 38 CSDGM

39 39 CSDGM Section Two: Data Quality How was the data set developed? Source Information Data processing What checks were made of the data set? Logical Consistency Positional Accuracy Attribute Accuracy

40 40 CSDGM

41 41 CSDGM Section Three: Spatial Data Organization Point, Line, or Vector?

42 42 CSDGM

43 43 CSDGM Section Four: Spatial Reference Information Coordinate System

44 44 CSDGM

45 45 CSDGM Section Five: Entity & Attribute Information Database Description

46 46 CSDGM

47 47 CSDGM Section Six: Distribution Information How can I get the data set? Distribution Contact Information Available Formats (digital and hardcopy) Standard and Custom Order Processes Online option Offline media Distribution Liability Fees

48 48 CSDGM

49 49 CSDGM Section Seven: Metadata Information Elements that describe the metadata record itself: WHO wrote the metadata record WHAT metadata standard was used? WHEN was the metadata created/updated? Is the metadata available? metadata access and use constraints

50 50 CSDGM

51 51 CSDGM Supporting Sections Eight: Citation Information Title, Originator, Publisher Nine: Time Period Information Date and Hour Ten: Contact Information Name, Job Title, Address, Phone, Email

52 52 CSDGM

53 53 Metadata Collection Tools Shareware  corpsmet - USACE  tkme / xtme - USGS/FGDC  NPSmeta (ArcCatalog Extension)  MetaD - ISO

54 54 Metadata Collection Tools GIS Internal  ESRI ArcCatalog  Intergraph SMMS for Geomedia

55 55 Metadata Collection Tools Software Commercial  SMMS  Data Logger  Blue Marble

56 56 Metadata Collection Tools Forms hardcopy or online

57 57 Metadata Validation Tools mp - Metadata Parser Checks for CSDGM syntax Element names Mandatory elements Element content (domains and logical consistency) Embeds tags for NSDI Clearinghouse Distribution cns – Chew ‘N Spit Rectifies indentation Inserts capitalization and underbars FGDC ‘compliant’ metadata must pass mp!

58 58 Metadata Resources: The Greenbook An easy to use guide to implementing the CSDGM ( is not the standard itself ) Background and Descriptive Information CSDGM history, value of meta, formats CSDGM Elements definitions, domains, FAQs, common values Sample Metadata NWI and DGL Glossary of Terms

59 59 Metadata Resources: Online Resources /online_resources tutorials metadata guidance websites software publications thesauri sources

60 60 Making Metadata Part of the Process New tools enable us to better integrate metadata creation into the data development process

61 61 Making Metadata Part of the Process If metadata were collected throughout the data process… 1.more accurate (no guessing) 2.more details 3.better decision-making. metadata

62 62 Making Metadata Part of the Process But what can I do to better incorporate metadata into the data development process?

63 63 Make the business case: preserve data investments limit data liability manage data resources find new data resources easier data transfer more efficient data distribution step one: build adminstrative support

64 64 Emphasize individual benefits: reduce the long term field fewer data inquiries document personal contributions step two: build technical support

65 65 Support your staff include in job descriptions & performance measures provide staff support tools training step two: build technical support

66 66 For each common data type:  identify pertinent fields  populate fixed fields  standardized language  distribution methods  standards used  build source and contact libraries step three: create organizational templates

67 67  map fields to the work flow  establish and assign responsibilities  technicians - lineage  analyst - process methodology  field scientists - accuracy assessments  IT managers - tools, collection, management step four: distribute the effort

68 68 step four: distribute the effort Data Planning: Section 1: Identification Info  title  originator  purpose  content time period  theme keywords  abstract

69 69 step four: distribute the effort Data Planning Section 3: Data Organization  Indirect Spatial Reference FIPS codes, county monikers, etc  Object-type point, vector, or raster

70 70 step four: distribute the effort Data Planning Section 5: Data Organization  Entities and Attributes database design and configuration Highways name surface [asphalt, concrete, unpaved] year_built restrictions [haz, 2axle, flood] district [A, B, C, D, E]

71 71 step four: distribute the effort Data Processing Section 2: Data Quality  completeness report missing or omitted data  positional accuracy digitize rms error, GPS triangulation, survey/photogrammetry/IP method

72 72 step four: distribute the effort Data Processing Section 2: Data Quality  lineage data set source files data compilation process maps photos dbases GIS

73 73 step four: distribute the effort Data Analysis Section 2: Data Quality  attribute accuracy field checks, cross-checks, statistical analyses  lineage data analysis process

74 74 step four: distribute the effort Data Analysis Section 3: Data Organizations  object type number of points, pixels, lines Section 5: Entity and Attributes attribute values

75 75 step four: distribute the effort Data Analysis Section 7: Metadata Reference metadata contact and dates

76 76 Managers Can WRITE metadata  data planning fields titleabstract purpose geographic extentkeywords and many more… and manage the effort  metadata coordination  metadata enforcement step five: lead by example

77 77 Establish Policies:  mandate use of standards and templates  develop boilerplate metadata deliverable language for data contractors  require units to publish their metadata  publish metadata SOP to document policies and procedures step six: policies and procedures

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