1. DLI Workshop -- Mar 2000 1 Hosted by Dalhousie University March 2000 DLI Training Workshop

2. DLI Workshop -- Mar 2000 2 Review data service models within the framework of:  access and dissemination  aggregate data and microdata  statistics versus data Data Service Models

3. DLI Workshop -- Mar 2000 3

4. 4 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

5. DLI Workshop -- Mar 2000 5 Data Service Models Choose a model that matches your staff and computing resources

6. DLI Workshop -- Mar 2000 6 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

7. DLI Workshop -- Mar 2000 7 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

8. DLI Workshop -- Mar 2000 8 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

9. DLI Workshop -- Mar 2000 9 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

10. DLI Workshop -- Mar 2000 10 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

11. DLI Workshop -- Mar 2000 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 -- Mar 2000 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 Find a referral partner on campus

13. DLI Workshop -- Mar 2000 13 1.

14. DLI Workshop -- Mar 2000 14 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

15. DLI Workshop -- Mar 2000 15 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.

16. DLI Workshop -- Mar 2000 16 Access/Dissemination Issues managing vendor licenses  are the license conditions realistic?  what type of identification or authentication is required?

17. DLI Workshop -- Mar 2000 17 Access/Dissemination Issues matching products with technology  is the product dependent on a specific operating system?  is the product software dependent?

18. DLI Workshop -- Mar 2000 18 Access/Dissemination Issues determining access methods  stand-alone, lan or wan?  what are the finding tools?

19. DLI Workshop -- Mar 2000 19 Access/Dissemination Issues determining dissemination options  what are the output formats?  does the output require special storage considerations?

20. DLI Workshop -- Mar 2000 20 The Access Model These issues and others about access and dissemination will continue in our discussions.

21. DLI Workshop -- Mar 2000 21 2.

22. DLI Workshop -- Mar 2000 22 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.

23. DLI Workshop -- Mar 2000 23 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

24. DLI Workshop -- Mar 2000 24 Aggregate Data  Statistical summaries these summaries take the form of counts, totals, sums, averages or percentages

25. DLI Workshop -- Mar 2000 25 Age and Sex are displayed Spatial representation and Time are fixed Cells contain counts

26. DLI Workshop -- Mar 2000 26 Spatial representation and Age are fixed Year and Sex are displayed

27. DLI Workshop -- Mar 2000 27 Geography and Sex are displayed Age and Time are fixed

28. DLI Workshop -- Mar 2000 28 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.)

29. DLI Workshop -- Mar 2000 29 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

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

31. 000041144504000800024010000000012518733 000041144308000900006011222220012518733 000041141709000930003031222220012518733 000041141709301100009031222220012518733 000041141211001330015011222220012518733 000041149113301630018011222220012518733 000041141216301800009011222220012518733 000041143018002000012031222220012518733 000041147920002015001541222220012518733 000041143720152130007531222220012518733 000041147921302145001542221220012518733 000041144321452200001512221220012518733 000041147522002300006012221220012518733 000041144523002800030010000000012518733 Microdata: First 14 Cases from the GSS 2 Episode File

32. DLI Workshop -- Mar 2000 32 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

33. DLI Workshop -- Mar 2000 33 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

34. DLI Workshop -- Mar 2000 34 Impact on Data Access These and others differences between aggregate data and microdata will be part of our discussions about data access, also.

35. DLI Workshop -- Mar 2000 35 3.

36. DLI Workshop -- Mar 2000 36 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.

37. DLI Workshop -- Mar 2000 37 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.

38. DLI Workshop -- Mar 2000 38 Statistics versus Data  Typically, generalizations are drawn from analyses of a data file.  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.

39. DLI Workshop -- Mar 2000 39 Blurring Statistics and Data  In the print world, statistical information is usually found in statistical abstracts, census monographs and serial publications by government agencies.

40. DLI Workshop -- Mar 2000 40 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.

41. DLI Workshop -- Mar 2000 41 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.

42. DLI Workshop -- Mar 2000 42 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.

43. DLI Workshop -- Mar 2000 43

44. DLI Workshop -- Mar 2000 44 Context for Aggregate Data The motivation to simplify access to aggregate data products exists because of their utility in answering general statistics questions. The demand for facts and figures at the reference desk steadily increases.

45. DLI Workshop -- Mar 2000 45 Aggregate Data Challenges The challenges of creating access to aggregate data were summarized earlier.  how to find the table with the desired statistics  how to deal with each database structure  how to cope with the retrieval software

46. DLI Workshop -- Mar 2000 46 DLI Aggregate Data Sources Four major DLI aggregate data sources have been chosen for this workshop.

47. DLI Workshop -- Mar 2000 47 DLI Aggregate Data Sources CANSIM is a major source for economic data and social data reported over time.

48. DLI Workshop -- Mar 2000 48 DLI Aggregate Data Sources E-STAT is a popular resource for simple access to selected CANSIM series and some aggregate data sources viewed useful in teaching.

49. DLI Workshop -- Mar 2000 49 DLI Aggregate Data Sources The 1996 Census aggregate data products are a valuable collection of electronic tables.

50. DLI Workshop -- Mar 2000 50 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.

51. DLI Workshop -- Mar 2000 51  Hands-on work with aggregate data CANSIM E-STAT Census ‘96 Health Indicators Database