1. Let’s Review Metadata is a document that describes your data’s content, condition, and quality. Metadata is an integral component of your data. Metadata can be a powerful internal data management tool. As a data discovery mechanism, it provides information on what data is available, its fitness for use, and details of how to access and transfer the data to your system. Developing FGDC-compliant metadata does require an up-front investment in time and money. Assistance is available in the form of training and funding opportunities.

2. The FGDC Workbook

3. FGDC’s Metadata Workbook Defines the 334 metadata elements.

4. 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.

5. 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.

6. Playing the Metadata Game

7. 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

8. Data Quality Information Spatial Data Organization Information Spatial Reference Information Entity and Attribute Information 4526731 Metadata The Three Supporting Sections 9 Time Period Information 10 Contact Information 8 Citation Information Distribution Information Metadata Reference Information Identification Information Organization of the Content Standard The Seven Main Sections

9. 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.

10. 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.

11. Interpreting the Graphical Production Rules Section Sections 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.

12. Interpreting the Graphical Production Rules Data Element A data element is a logically primitive item of data. Data elements are the things that you “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: text Domain: free text Note: Data element definitions are contained in the text of the Content Standard, not in the graphical production rules.

13. Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2 How Elements Are Grouped Compound elements are composed of other compound and data elements. The composition is represented by nested boxes.

14. Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2 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. How Elements Are Grouped

15. Mandatory - must be provided. Meaning Data Element Compound 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.

16. If an element can be repeated independently from other elements, it will be indicated as such below the element name. Repeating Elements Compound Element 1 (can be repeated unlimited times) Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 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

17. Using the Graphics to Make Decisions All elements are colored yellow, so all are mandatory and must be reported. Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2

18. 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. Compound Element 1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2 Compound Element 1.1 Using the Graphics to Make Decisions

19. 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. Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2 Using the Graphics to Make Decisions

20. 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. Compound Element 1 Compound Element 1.1 Data Element 1.1.1 Data Element 1.1.2 Data Element 1.2 Using the Graphics to Make Decisions

21. Exercise 1 Using the Green Book

22. Metadata as a Data Discovery Tool

23. The FGDC metadata clearinghouse is a decentralized system of Internet servers you can use to search for available geospatial data. Discovering Data Through Metadata Client FGDC Gateway Servers housing metadata

24. The descriptive information that fuels the FGDC clearinghouse is metadata, which is collected in a standard format to facilitate query and consistent presentation across the multiple participating sites. Discovering Data Through Metadata

25. A Brief Look at the FGDC Clearinghouse The FGDC has six gateways to its clearinghouse system, with access to over 250 spatial data servers. www.fgdc.gov/clearinghouse/clearinghouse.html

26. Searches can be performed by using the NSDI Search Wizard, or by using a map interface with place names, or by place names alone. A Brief Look at the FGDC Clearinghouse

27. The new NSDI “Smart Select” Search Wizard bins servers by the types of metadata they house. A Brief Look at the FGDC Clearinghouse

28. Searches can be performed using a map interface that allows the user to define an area of interest. An area of interest can be defined by dragging an area of interest box on the map interface. A Brief Look at the FGDC Clearinghouse

29. The selected area defines the bounding coordinates that will be used in the search. A Brief Look at the FGDC Clearinghouse

30. You can search all the servers listed, or you can select only those that interest you. A Brief Look at the FGDC Clearinghouse

31. Select individual servers of interest to your search. A Brief Look at the FGDC Clearinghouse

32. Search criteria can be further refined by time period of content and keywords. A Brief Look at the FGDC Clearinghouse

33. The status of each selected node is displayed as the search is conducted. A Brief Look at the FGDC Clearinghouse

34. When the search is complete, the status window lets you know if you were successful in discovering metadata that matched your search criteria. A Brief Look at the FGDC Clearinghouse

35. Select a server to see what metadata is available. A Brief Look at the FGDC Clearinghouse

36. Metadata discovered by the search is shown by title. A Brief Look at the FGDC Clearinghouse

37. Metadata record returned in HTML format. Links take you to each of the seven main sections of the record. A Brief Look at the FGDC Clearinghouse

39. The Coastal Information Directory (CID) at the NOAA Coastal Services Center is similar to the FGDC gateway interface, but the CID searches only those spatial data servers that house metadata of a coastal nature. www.csc.noaa.gov/CID/ A Brief Look at the FGDC Clearinghouse

40. For more information on the clearinghouse system, visit the FGDC Web site (www.fgdc.gov). Here you can find information on how to establish your own clearinghouse node using free Isite  software. On-line tutorials provide assistance for setting up and configuring this software. A Brief Look at the FGDC Clearinghouse

41. Perform a search using the keywords from the exercise “Searching for Metadata.” Access the FGDC Website at www.fgdc.gov. Click on the “Clearinghouse” link, and then click on “Search for Geospatial Data.” Choose a Clearinghouse Gateway. Decide how you are going to search. Searching for Metadata Exercise 2

42. Reading a Metadata File Exercise 3

43. Writing Metadata

44. It’s not so 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.

45. Writing Metadata Organize your information Write your metadata file Review your file Have someone else review ReviseRevise PublishPublish Six Steps for Writing Quality Metadata.

46. Before you begin writing, get organized. Document your data as you go. Write so others can understand. Always review your document. Writing Metadata

47. Items required Sense of Humor! Chocolate FGDC Workbook Metadata entry tool Coffee

48. Write simply but completely. Document for a general audience. Be consistent in style and terminology. Keep your readers in mind. Writing Metadata

49. Define all acronyms. Avoid using jargon. Clearly state data limitations. Writing Metadata Keep your readers in mind.

50. Write a complete title that includes: What Where When Scale Who Writing Metadata

51. 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

52. 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

53. Select your key words wisely. Use unambiguous words. Use descriptive words. Fully qualify geographic locations. Writing Metadata

54. 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

55. Can a novice understand what you wrote? Are your data properly documented for posterity? When you review your work, ask: Writing Metadata

56. 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

57. Write so that others will understand. Writing Metadata

58. Metadata Creation and Validation Tool Time

59. 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. Template tools 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. TKME Text editor used for metadata entry.

60. Metadata Entry Tools TKME - An editor for formal metadata, TKME is intended to simplify the process of creating metadata that conform to the standard.

61. 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

62. CNS (“Chew ‘n Spit”) - A pre-parser for formal metadata designed to assist metadata managers convert records that cannot be parsed by mp into records that can be parsed by mp. Assumptions: The input file has metadata elements identified by name; elements always start with an element name, which is the first alphabetic string of characters on the line. CNS does not assume that you have used underscores in the standard element names, and if you have used nonstandard names for standard elements, you can tell CNS how to interpret them. Tool Time

63. CNS does not require indentation of any sort. It uses its knowledge of the standard and your arrangement of the elements to structure the metadata record. Because this method is not flawless, careful inspection of the output from CNS is the most prudent course of action. Tool Time

64. Usage C:>\cns [options] input_file Options: -v -c config_file -i info_file -a aliases -e leftovers -o output_file Tool Time

65. MP (Metadata Parser) - A compiler to parse formal metadata, checking the syntax against the FGDC Content Standard for Digital Geospatial Metadata and generating output suitable for viewing with a web browser or text editor. Options: -c config-file -l language-code -e error-file -t text-file -h html-file -f faq-file -s sgml-file -x xml-file -d dif-file -fixdoc Usage C:>\mp [options] input_file Tool Time

66. TKME, CNS, and MP are available as free downloads from the United States Geological Survey (USGS) Website. (geology.usgs.gov/tools/metadata) TKME will run from a shortcut on the desktop, but both MP and CNS must be run from a command line in MS-DOS or UNIX. Tool Time

67. Finally... Remember, metadata is a legacy document that concisely sums up your data or data set. Without metadata, your data set is incomplete.

68. Michael Moeller Mike.Moeller@noaa.gov www.csc.noaa.gov/metadata/