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Safeguarding GIS Data through Metadata

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1 Safeguarding GIS Data through Metadata
LMIC Metadata Workshop, 2001 12/14/01 Safeguarding GIS Data through Metadata Christopher Cialek & Nancy Rader Minnesota Land Management Information Center September 2004 Chris Cialek & Nancy Rader

2 LMIC Metadata Workshop, 2001
12/14/01 What’s Metadata? Metadata refers to background information about something. Metadata is just like the information you would learn on the labels of tuna and cat food. On the labels, you could learn everything about the can’s contents: the nutritional values of the food, the number of calories and fat grams, whether it contains preservatives, the weight, the company that packed it and its location, and more. Then you would use that information to make a decision about what to do with the contents of the can — whether to eat it yourself or feed it to your cat. The labels on the cans contain the metadata. If you had two cans without labels, which would you eat? Without a label, how would you know which was tuna and which was cat food? Tuna? Cat Food? Chris Cialek & Nancy Rader

3 By the end of the Workshop . . .
LMIC Metadata Workshop, 2001 12/14/01 By the end of the Workshop . . . You will: Understand what metadata is; appreciate its value Become familiar with metadata standards Create your own metadata records Use a search engine to find data Know where to go for help Chris Cialek & Nancy Rader

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6 LMIC Metadata Workshop, 2001
12/14/01 Chris Cialek & Nancy Rader

7 What’s Metadata? “the information that makes data sets understandable, usable and sharable.” International Standards Organization

8 FDA Food Label What’s Metadata?
We often use metadata without knowing it -- even a food label is an example of metadata! Structured format Specific content Necessary information

9 LMIC Metadata Workshop, 2001
12/14/01 What’s Metadata? We often use metadata without even knowing it. When you go to a library, how do you pick out a book about a particular subject you’re interested in? In the past, you would have searched manually through a card catalog system to find what you were looking for. Now, you probably use a computer-based search engine to more quickly find what you’re looking for. In either case, your search consists of looking through a list of titles, publication dates, abstracts, and other pertinent information that you can use to decide whether the publications you find are the ones you need. Consequently, without even knowing it, many people already rely on metadata to find what they need in their daily lives. Search metadata to find resources in the library Library community has developed metadata systems to describe books Dublin Core Allows you to search by title, author, subject… Chris Cialek & Nancy Rader

10 What are Metadata Used For?
MANAGING DATABASES COMPARING DATA SETS FACILITATING DATA SHARING PROVIDING TECHNICAL SPECS FINDING DATA

11 LMIC Metadata Workshop, 2001
12/14/01 Standards Content Standard for Digital Geospatial Metadata (CSDGM) Established by the FGDC in 1994 Foundation standard for the NSDI “Mandatory” for federal agencies Established by the FGDC v1.0 in 1994, v2.0 approved 1998 Structured, thorough, complex Foundation standard for the NSDI “Mandatory” for federal agencies Entire GIS data user community encouraged to use Chris Cialek & Nancy Rader

12 LMIC Metadata Workshop, 2001
12/14/01 Standards Minnesota Geographic Metadata Guidelines (MGMG) Derived from the federal standard in 1998 Simplified, but retains all required fields Became state standard in 1999 Chris Cialek & Nancy Rader

13 LMIC Metadata Workshop, 2001
12/14/01 Standards ISO Geographic Information: Metadata International geospatial metadata standard Conceptual design approved May 2003 Implementation schema draft under review Crosswalk to CSDGM: International geospatial metadata standard Conceptual design approved May 2003 Implementation schema draft under review: ISO 19139 Quite complex, but only 30 core elements Crosswalk to CSDGM: Chris Cialek & Nancy Rader

14 Source Citation Abbrev
LINEAGE Source Information Source Citation Source Time Period of Content Citation Information Source Scale Type of Source Media Time Period Info Source Currentness Source Contribution Source Citation Abbrev Process Step Process Date & Time Source Used Citation Process Description Source Produced Process Contact Contact Information CSDGM LINEAGE MGMG LINEAGE Statement Process Step Description Rationale Processor Date & Time Source Scale Spatial Reference Sys Source Citation Source Extent Source Step ISO mandatory mandatory, if applicable optional Metadata Structure Examples

15 The Minnesota Geographic Metadata Guidelines

16 The MGMG SUBSET OF A FEDERAL STANDARD MADE UP OF SEVEN SECTIONS DRIVES WEB SEARCH TOOLS USED BY OVER 100 ORGS IN MN MN STANDARD; FGDC RECOGNIZED

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18 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Originator: name of organization or individual that developed the data Title: name by which the data set is known

19 TITLE Too cryptic: niclcpy3 Too general: Landuse Acronyms:
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Too cryptic: niclcpy3 Too general: Landuse Acronyms: Wisconsin DOPs Too detailed: Wetland Polygon Coverage Overlay for St. Cloud (USGS Quad) Just right (includes theme, area, date): Minnesota Telecommunications Service Area Boundaries, June 2002

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21 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Abstract: summary of what’s in the data set This land cover data set was derived from 30 meter resolution LANDSAT Thematic Mapper (TM) satellite imagery. Classification is divided into 15 classes with source imagery dates ranging from September 1991 to August Both a raster and a vector version are available. Purpose: why the data set was developed Land use planning, natural resource monitoring

22 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Time Period of Content: single date that best describes when the data are current 08/2004 Currentness: text describing what the Time Period date is referring to, e.g., range of dates of aerial photography Date of source imagery (LANDSAT-5 TM, bands 3, 4, and 5) ranges from September 20, to August 30, 1996.

23 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Spatial Extent: description of the geographic area covered (Lyon County, Minnesota) Bounding Coordinates: the extreme north, south, east and west limits of coverage expressed in latitude and longitude values W E N S

24 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Keywords: words or phrases that summarize the theme and location of the data set, together with the name of any formal list of keywords (thesaurus) Too general: GIS, layer, survey Just right: Feedlot, animal agriculture,hog Constraints: any restrictions to the access or use of the data set Access: Due to increased security measures taken after 9/11/01, this data set is no longer available online. Use: right to use these data for any internal purpose

25 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Contact Information: the person who can answer questions about the content or development of the data set

26 A Walk Through the Guidelines
Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets Browse Graphic: a sample illustration of the data set

27 A Walk Through the Guidelines
Associated Data Sets: information about other, related data sets that may be of interest If you’re interested in this data set, here are others that may also interest you. NOT a list of source materials (those are described in Lineage). For information on other air photos available for Minnesota, see Abstract Purpose 1 Identification Originator Title Identifier (optional) Content Date Currentness Progress Maintenance and Update Frequency Spatial Extent Description Bounding Coordinates Keywords Constraints Contact Information Browse Graphic Information Associated Data Sets

28 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Attribute Accuracy: qualitative or quantitative explanation of how accurately features in the data set have been described, including procedures used to assess accuracy (examples: field-checking, checkplots, frequency counts to find invalid codes)

29 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Completeness: information about selection criteria, omissions, generalization, etc. EXAMPLE: Geographic exclusion “Data was not available for Smith Township.”

30 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Completeness: information about selection criteria, omissions, generalization, etc. EXAMPLE: Categorical Exclusion “Municipalities with population under 1000 not included.”

31 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Positional Accuracy: an explanation of what’s known about the horizontal and vertical accuracy of the data set (can be qualitative or quantitative) Qualitative example: Data was collected in the field and plotted on a variety of base maps. Archaeological properties visited in the past 30 years are located on USGS maps. Almost all site locations are accurate to the quarter section. Most site locations are accurate to within a quarter-quarter section. Site boundaries are poorly defined, as are site centroids. Minnesota State Historic Preservation Office Archaeological Inventory

32 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Positional Accuracy: an explanation of what’s known about the horizontal and vertical accuracy of the data set Quantitative example: Using the National Standard for Spatial Data Accuracy, this data set tested 1 foot horizontal accuracy at 95% confidence level. City of Minneapolis (from Positional Accuracy Handbook)

33 A Walk Through the Guidelines
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Lineage: information about the sources of data used to construct the data set & processing steps applied

34 LINEAGE RECIPE Source Information Data set reference Processing Step
2 Data Quality Attribute Accuracy Logical Consistency Completeness Positional Accuracy Lineage Source Scale Source Information Data set reference Scale Media Time period of content Source contribution Source Metadata reference Processing Step Process description software used organization doing the processing Process date Miscellaneous Notes

35 A Walk Through the Guidelines
3 Spatial Data Organization Native Data Set Environment Geographic Reference (Tabular) Spatial Object Types Tiling Scheme

36 A Walk Through the Guidelines
4 Spatial Reference Horizontal Coordinate Scheme Ellipsoid Horizontal Datum & Units Resolution Altitude Datum & Depth Datum & Units If Raster If Geographic If UTM If State Plane If County Coordinate If User Specified Projection If Other

37 A Walk Through the Guidelines
5 Entity and Attribute Entity and Attribute Overview Detailed Citation Entity & Attribute Overview: description of the information content of the data set: the features it represents (entities) and details about them (attributes). An entity might be road and the attributes that describe it might include interstate, 6 lanes, concrete. Entity & Attribute Detailed Citation: reference to other sources of detailed information on the content of the data set; pointer to a data dictionary

38 A Walk Through the Guidelines
5 Entity and Attribute Entity and Attribute Overview Detailed Citation Examples: Land Use Codes Useless: 21 22 23 Slightly Better: AGRICULTURAL LAND 21 - Cultivated Land 22 - Pasture Land 23 - Transitional Agricultural Land

39 A Walk Through the Guidelines
Much Better: AGRICULTURAL LAND 21 - Cultivated Land Cultivated land includes those areas under intensive cropping or rotation, including periods when a parcel may be fallow. It represents land planted to forage or cover crop. The units exhibit linear or other patterns associated with current or relatively recent tillage. 22 - Pasture Land Land in active pasture use. This class was discontinued and combined into 23. 23 - Transitional Agricultural Land This category includes areas that show evidence of past tillage but do not now appear to be continuously cropped or in a crop rotation. Parcels in this unit include fields that are idle or abandoned and may or may not have been planted to a cover crop. In addition to displaying some evidence of past tillage, they usually are relatively uniform in vegetation.

40 A Walk Through the Guidelines
6 Distribution Publisher Publication Date Distributor Information Distribution Liability Transfer Format Transfer Size Ordering Instructions Online Linkage Publisher: organization or individual that distributes the data set Distributor Information: person who can answer questions about the distribution of the data set Distribution Liability: statement of any liability assumed by the distributor Limitations Warranty Liability Redistribution Conditions Data Delivery Terms

41 A Walk Through the Guidelines
6 Distribution Publisher Publication Date Distributor Information Distribution Liability Transfer Format Transfer Size Ordering Instructions Online Linkage Ordering Instructions: instructions for obtaining the data set. If applicable, instructions for acquiring data through Online Linkage element below Online Linkage: (optional) when the data set is available online, this is the link to the Internet site where it can be downloaded

42 A Walk Through the Guidelines
6 Distribution Publisher Publication Date Distributor Information Distribution Liability Transfer Format Transfer Size Ordering Instructions Online Linkage Two new reports available to aid in determining GIS data distribution policy Mapping the Risks: Assessing the Homeland Security Implications of Publicly Available Geospatial Information 2004 RAND National Defense Research Institute RAND researchers found no publicly accessible federal geospatial information deemed critical to meeting attackers’ information needs. The researchers found only four publicly available federal databases that had information that is both useful to potential attackers and could not be obtained from other widely available sources. The four federal databases are no longer being made public by federal agencies

43 A Walk Through the Guidelines
6 Distribution Publisher Publication Date Distributor Information Distribution Liability Transfer Format Transfer Size Ordering Instructions Online Linkage Two new reports available to aid in determining GIS data distribution policy Guidelines for Providing Appropriate Access to Geospatial Data in Response to Security Concerns A Federal Geographic Data Committee Homeland Security Working Group study investigating restrictions to geospatial data access that are reasonable, sensible and cost effective

44 Purpose of a Metadata Entry Tool
Organizes metadata content Provides help Formats results printed reports webpages Clearinghouse searches Can it write the whole record for you?

45 Tools ArcCatalog Part of ESRI’s ArcGIS software
FGDC version is built-in MGMG version, download at: DataLogr Software independent Free! FGDC version, download at: MGMG version, download at:

46 ArcCatalog Editor create a new record
change an existing metadata record Stylesheet needed to view a metadata record

47 MGMG Editor 7 sections Help

48 FGDC Editor 7 sections many sub sections for each section Help

49 MGMG Editor

50 FGDC Editor Lineage Repeating screens

51 Converting formats ArcCatalog: stores records in XML format
FGDC Editor Use Export button to create HTML MGMG Editor Use MGMG Converter to create HTML Creates hotlinks for web addresses

52 DataLogr 7 sections Help

53 Hands-on Exercise with ArcCatalog
LMIC Metadata Workshop, 2001 12/14/01 Hands-on Exercise with ArcCatalog Part 1: Get started Become familiar with viewing and editing screens Part 2: Edit a record Change the content of an existing metadata record Part 3: Display a record Create an HTML version of your edited record Compare different views of a record Part 4: Create a new record Evaluate an automatically created record Create your own starter template Chris Cialek & Nancy Rader

54 How to Make this Easier…
Value metadata Create metadata during your project Prioritize legacy data Use existing resources Writing tips Use your judgment Share the task

55 LMIC Metadata Workshop, 2001
12/14/01 Value metadata Establish its value for yourself and for your organization Short-term investment long-term payoff Metadata is no longer optional; it is part of being a GIS and IT professional Cat Food Chris Cialek & Nancy Rader

56 Create metadata during your project
When you create new data When you change existing data If you write metadata as you go along, at the end, it is done! Tuna

57 Prioritize legacy data
What is most critical? What are you asked about the most? What may be lost soonest? Information that is quickly forgotten Information that only one person or organization knows

58 Use existing resources
Guidelines and tools Starter templates Existing documents Other peoples’ metadata

59 LMIC Metadata Workshop, 2001
12/14/01 Writing tips Goal: Concise but complete Metadata records are drafts Fill out in any order Modify when information changes Get help from others Editor Interviewer OK to describe imperfections in the data Data Quality and Purpose fields OK to say, “I don’t know” Chris Cialek & Nancy Rader

60 LMIC Metadata Workshop, 2001
12/14/01 Use your judgment Some information is defined Fixed set of choices Fixed format Some information is flexible Defining data sets Not too fine or too broad Amount of detail Answer the questions that you want answered Chris Cialek & Nancy Rader

61 LMIC Metadata Workshop, 2001
12/14/01 Share the task Divide by areas of expertise Chris Cialek & Nancy Rader

62 LMIC Metadata Workshop, 2001
12/14/01 Do something… How will you follow up after the workshop? Imagine yourself back at your usual place of work… Now, write down one or two specific things related to metadata that you could do in the next week or two Chris Cialek & Nancy Rader

63 LMIC Metadata Workshop, 2001
12/14/01 Do something… How can you follow up after the workshop? Suggestions: Install one of the metadata tools on your computer Start documenting a data set you are currently creating Create your own starter template Use the GeoGateway to look for data you need Write down an obstacle and think of a way around it Tell a coworker about something of value you learned today Chris Cialek & Nancy Rader

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65 www.lmic.state.mn.us/ chouse/meta_help.html
More Help LMIC FGDC chouse/meta_help.html ArcCatalog

66 Chris Cialek Nancy Rader Questions? chris.cialek@state.mn.us
Nancy Rader


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