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

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

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

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

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

6. 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

7. DLI Workshop -- Dec 1999 7

8. 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

9. DLI Workshop -- Dec 1999 9 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

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

11. DLI Workshop -- Dec 1999 11 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 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

12. DLI Workshop -- Dec 1999 12 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 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

13. DLI Workshop -- Dec 1999 13 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 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

14. DLI Workshop -- Dec 1999 14 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 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

15. DLI Workshop -- Dec 1999 15 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 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

16. DLI Workshop -- Dec 1999 16 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 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

17. DLI Workshop -- Dec 1999 17 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 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

18. DLI Workshop -- Dec 1999 18 1.

19. 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

20. 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.

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

22. 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?

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

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

25. 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.

26. DLI Workshop -- Dec 1999 26 2.

27. 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.

28. 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

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

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

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

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

33. 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.)

34. 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

35. Microdata: Cases 3 & 4 from the GSS 2 Main File 0000312141100119820012122222210020982001212222224011 21111241112121112205020197111971021212222225211026121 2043001409557204113130221119999019787878797022214112 7141240031500061661123222222222111117262616221222266 6666636212000000020320222224222000022204141101101102 1111111221110000002100000000021000000000100000000002 00000423300200200100000100200 0000411001100111011021222222210020092002122222220211 11111231212111211208120193811938044122222221111052201 203901007504721031191012233520406058787870304221303 4207083004000014200071112221222117215756565655555556 66666656565000555500210222111111110000001111100001101 1122121221110110101100001101011000000000000000000000 00000000000000000000000000000

36. 000041144504000800024010000000012518733 000041144308000900006011222220012518733 000041141709000930003031222220012518733 000041141709301100009031222220012518733 000041141211001330015011222220012518733 000041149113301630018011222220012518733 000041141216301800009011222220012518733 000041143018002000012031222220012518733 000041147920002015001541222220012518733 000041143720152130007531222220012518733 000041147921302145001542221220012518733 000041144321452200001512221220012518733 000041147522002300006012221220012518733 000041144523002800030010000000012518733 Microdata: First 14 Cases from the GSS 2 Episode File

37. DLI Workshop -- Dec 1999 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

38. 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

39. 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.

40. DLI Workshop -- Dec 1999 40 3.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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.

48. DLI Workshop -- Dec 1999 48

49. 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.

50. 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

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

52. 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.

53. 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.

54. 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.

55. 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.

56. 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.