1. University of Regina Library
DLI Training Workshop
Hosted by
the
University of Regina Library
December 1999

2. Day 1 : A.M. Review data service models within the framework of:
access and dissemination
aggregate data and microdata
statistics versus data
DLI Workshop -- Dec 1999

3. Day 1 : A.M. Hands-on work with aggregate data CANSIM E-STAT
Census ‘96
Health Indicators Database
DLI Workshop -- Dec 1999

4. Day 1 : P.M. Microdata retrieval systems LANDRU (UC) ISLAND (UBC)
introduction with hands-on experience
ISLAND (UBC)
DLI Workshop -- Dec 1999

5. Day 2 : A.M. Update to DLI since 1997 Spatial Data Retrieval: GEODE
experiences with new web services
Spatial Data Retrieval: GEODE
DLI Workshop -- Dec 1999

6. Day 2 : P.M. Other data extractors
Discussion about possible COPPUL data access projects
Roundtable discussion about introducing data to our reference colleagues
DLI Workshop -- Dec 1999

7. Access and Dissemination Tools for Aggregate and Microdata
DLI Workshop -- Dec 1999

8. Data Service Models
Begin by discussing data service models within the framework of three topics:
access and dissemination
aggregate data and microdata
statistics versus data
DLI Workshop -- Dec 1999

9. Install Data and Provide Access
Data Service Models
Models were presented as a continuum during the 1997 DLI workshop
“Order & Pass-through” Service
Install Data and Provide Access
Treat as a Collection and Provide Reference
DLI Workshop -- Dec 1999

10. Data Service Models
Choose a model that matches your staff and computing resources
DLI Workshop -- Dec 1999

11. Order data & documentation Collection Development Select & Locate data
Acquisition
Fill a Request
Locate data
Order data & documentation
Collection Development
Select & Locate data
Order data & documentation Catalogue data & documentation Install & Store (data & documentation)
Reference
Search for data
Interpret documentation
Retrieve or download data
Process data
change formats
subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

12.  Order data & documentation Collection Development
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
Collection Development
Select & Locate data
Order data & documentation Catalogue data & documentation Install & Store (data & documentation)
Reference
Search for data
Interpret documentation
Retrieve or download data
Process data
change formats
subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

13.  Order data & documentation Collection Development
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
Collection Development
Select & Locate data
Order data & documentation Catalogue data & documentation  Install & Store (data & documentation)
Reference
Search for data
Interpret documentation
Retrieve or download data
Process data
change formats
subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

14.  Order data & documentation Collection Development
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
Collection Development
Select & Locate data
Order data & documentation Catalogue data & documentation  Install & Store (data & documentation)
Reference
 Search for data
 Interpret documentation
 Retrieve or download data
Process data
change formats
subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

15.  Order data & documentation  Collection Development
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
 Collection Development
 Select & Locate data
 Order data & documentation  Catalogue data & documentation  Install & Store (data & documentation)
Reference
 Search for data
 Interpret documentation
 Retrieve or download data
Process data
change formats
subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

16.  Order data & documentation  Collection Development
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
 Collection Development
 Select & Locate data
 Order data & documentation  Catalogue data & documentation  Install & Store (data & documentation)
Reference
 Search for data
 Interpret documentation
 Retrieve or download data
 Process data
 change formats
 subset cases or variables
aggregate cases
merge files
analyze data
DLI Workshop -- Dec 1999

17. Find a referral partner on campus
Acquisition
 Fill a Request
 Locate data
 Order data & documentation
 Collection Development
 Select & Locate data
 Order data & documentation  Catalogue data & documentation  Install & Store (data & documentation)
Reference
 Search for data
 Interpret documentation
 Retrieve or download data
 Process data
 change formats
 subset cases or variables
aggregate cases
merge files
analyze data
Find a referral partner on campus
DLI Workshop -- Dec 1999

18. Access and Dissemination1.
Access and Dissemination
DLI Workshop -- Dec 1999

19. The Inventory Model
In the traditional inventory model, roughly half of the support goes to putting items on the shelf, while the other half goes to finding and getting the items off the shelf.
Source: Darlene Fichter
DLI Workshop -- Dec 1999

20. The Access Model
With the access model, support is split between getting information into a deliverable state and finding appropriate ways of retrieving and disseminating the information.
DLI Workshop -- Dec 1999

21. Access/Dissemination Issues
managing vendor licenses
are the license conditions realistic?
what type of identification or authentication is required?
DLI Workshop -- Dec 1999

22. Access/Dissemination Issues
matching products with technology
is the product dependent on a specific operating system?
is the product software dependent?
DLI Workshop -- Dec 1999

23. Access/Dissemination Issues
determining access methods
stand-alone, lan or wan?
what are the finding tools?
DLI Workshop -- Dec 1999

24. Access/Dissemination Issues
determining dissemination options
what are the output formats?
does the output require special storage considerations?
DLI Workshop -- Dec 1999

25. The Access Model
These issues and others about access and dissemination will underlie our discussions over the next two days.
DLI Workshop -- Dec 1999

26. Aggregate and Microdata2.
Aggregate and Microdata
DLI Workshop -- Dec 1999

27. Data Types
In the 1997 DLI workshop time was spent discussing differences between aggregate data and microdata.
Each type has an impact on data access models.
DLI Workshop -- Dec 1999

28. Aggregate Data
Aggregate data consist of statistical summaries derived from original data collections and organized in tables according to the following properties:
socio-economic phenomena
spatial representation
time
DLI Workshop -- Dec 1999

29. Aggregate Data Statistical summaries
these summaries take the form of counts, totals, sums, averages or percentages
DLI Workshop -- Dec 1999

30. Spatial representation and Time are fixed
Age and Sex are displayed
Cells contain counts
DLI Workshop -- Dec 1999

31. Spatial representation and Age are fixed
Year and Sex are displayed
DLI Workshop -- Dec 1999

32. Geography and Sex are displayed
Age and Time are fixed
Geography and Sex are displayed
DLI Workshop -- Dec 1999

33. Aggregate Data Aggregate data products
usually stored as a series of related tables in some type of database structure requiring special retrieval software (examples from STC include C86, C91, CBP, CANSIM, etc.)
DLI Workshop -- Dec 1999

34. Microdata Microdata are
usually anonymised records of actual respondents from a survey
unsummarized, i.e, observations in the form in which the data were collected
in a raw format requiring some form of processing, typically a flat ASCII file
DLI Workshop -- Dec 1999

35. Case 3 Case 4 Microdata: Cases 3 & 4 from the GSS 2 Main File
Case 4

36. Microdata: First 14 Cases from the GSS 2 Episode File

37. Impact on Data Access
Aggregate data have been processed and organized in a database structure
must locate the table with desired data
must deal with each database structure
must deal with accompanying retrieval software
DLI Workshop -- Dec 1999

38. Impact on Data Access
Microdata data must be processed or subset for subsequent processing
must identify desired variables and cases (data documentation)
must deal with the raw data file structure
must address the issue of desired formats
DLI Workshop -- Dec 1999

39. Impact on Data Access
These and others differences between aggregate data and microdata will be part of our discussions about data access, also.
DLI Workshop -- Dec 1999

40. Statistics versus Data3.
Statistics versus Data
DLI Workshop -- Dec 1999

41. Statistics versus Data
The term statistics is commonly used to describe the numeric summaries, such as counts, totals, sums and averages, that people use to make a point in a study or report.
DLI Workshop -- Dec 1999

42. Statistics versus Data
The term data refers to numeric files containing a collection of raw information with many observations that can be analyzed from a variety of perspectives.
DLI Workshop -- Dec 1999

43. Statistics versus Data
Typically, generalizations are drawn from analyses of a data file.
For example, the information provided by all of the individuals in a survey is considered to be data, while the percent of respondents in a survey with a university degree is a statistic.
DLI Workshop -- Dec 1999

44. Blurring Statistics and Data
In the print world, statistical information is usually found in statistical abstracts, census monographs and serial publications by government agencies.
DLI Workshop -- Dec 1999

45. Blurring Statistics and Data
In the digital world this numeric information is now appearing with electronic table access on CD-ROM, the Internet, or in electronic journals.
Many aggregate data products now fall in this category.
DLI Workshop -- Dec 1999

46. Blurring Statistics and Data
In other instances, the responses in the microdata file of a survey may provide the answer to a statistical question.
For example, the percentage of the population in Canada with high blood pressure may be determined from the National Population Health Survey.
DLI Workshop -- Dec 1999

47. Impact on Data Access
The use of aggregate data products and microdata files to answer statistical questions will also contribute to our discussions about data access.
DLI Workshop -- Dec 1999

48. Access Tools for Aggregate Data
DLI Workshop -- Dec 1999

49. Context for Aggregate Data
Simplifying access to aggregate data is partially driven by a desire to use these products to answer general statistics questions.
The demand for facts and figures at the reference desk remains constant or steadily increases.
DLI Workshop -- Dec 1999

50. Aggregate Data Challenges
The challenges of creating access to aggregate data were summarized earlier.
finding a table with the desired statistics
dealing with each database structure
coping with a variety of retrieval software
DLI Workshop -- Dec 1999

51. DLI Aggregate Data Sources
Four major DLI aggregate data products have been chosen for this workshop.
DLI Workshop -- Dec 1999

52. DLI Aggregate Data Sources
CANSIM is a major source for economic and social data that are organized in time series.
DLI Workshop -- Dec 1999

53. DLI Aggregate Data Sources
E-STAT offers a simplified interface to a selected subset of CANSIM and some additional aggregate data that have been identified as useful in teaching.
DLI Workshop -- Dec 1999

54. DLI Aggregate Data Sources
The 1996 Census aggregate data files are a particularly important collection because these electronic tables contain more statistical information than is available for the Census in print.
DLI Workshop -- Dec 1999

55. DLI Aggregate Data Sources
The Health Indicators Database is a compilation of tables from several sources to provide a single-access tool about health status in Canada.
DLI Workshop -- Dec 1999

56. DLI Aggregate Data Sources
These four aggregate data products are good candidates for every DLI member to have.
Now let’s turn to the comparative worksheet on these four products.
DLI Workshop -- Dec 1999