1. The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

2. Products and Services Establishing Perspectives – statistical information  statistics and data – statistics & data sources  national and international – continuum of access  DLI

3. Statistical Information Statistics numeric facts/figures created from data, i.e, already processed presentation-ready Data numeric files organized for analysis requires processing not ready for display

4. Statistical Information The lines are blurring... – the past  if it was on paper, it was statistics  if it was digital, it was data – the present  dynamic tables retrievable from online databases  e-journal publications with tables

5. Statistical Information Statistics...and a map!

6. Statistical Information Product Implications ± won’t have a ‘published’ product but rather forced to work with dynamically generated tables from databases ± toward this end, will see more Web retrieval of statistics and processing of data examples: STC Community Profiles and ICPSR Data Analysis System

7. Statistical Information Product Implications ± may only see graphical displays of statistics or data without the numbers or data example: Web map servers

8. Statistical Information Service Implications + spend less time providing technical services and more time doing extended reference and consulting ± the move to disintermediate products, that is, make them self-serve

9. Statistical Information Service Implications - need to deal with an even wider variety of retrieval or software tools and possibly formats - may be more difficult to get at the actual statistics or data that are wanted (especially historical data)

10. Statistics & Data Sources Financial & Stock Data Academic Research Data Statistics Canada Other Canadian Gov’t & Non-gov’t Sources

11. Statistics & Data Sources Statistics Canada Other Governmental & Non-Governmental Academic Research Data Financial & Stock Data Surveys – x-sect’l & longitudinal Aggregate dbases – time-series & x-class Geography files Supporting documentation – SIC, SOC

12. Statistics & Data Sources Statistics Canada Other Governmental & Non-Governmental Academic Research Data Financial & Stock Data Health Canada – HBSC & Heart Health CIC – LIDS & IMDB CIHI GDSourcing Statistical Universe

13. Statistics & Data Sources Statistics Canada Other Governmental & Non-Governmental Academic Research Data Financial & Stock Data ICPSR – ISSP – World Values – Euro-barameters ISR-York – CNES Data Libraries – AAS

14. Statistics & Data Sources Statistics Canada Other Governmental & Non-Governmental Academic Research Data Financial & Stock Data Datastream Financial Post Corporate Database Compustat CRSP DRI Basic Economics

15. Statistics & Data Sources Statistics Canada is an important source for statistics and data, but not the only source.

16. Continuum of Access Turning to Statistics Canada, access to statistics and data is through a variety of services and initiatives. Think of this as a continuum along which levels of access are provided.

17. Continuum of Access Characteristics of this continuum are: – cost : which runs from free to expensive – restrictions : which runs from open to very restricted – information : which runs from statistics to data

18. CANSIM II and Trade Analyzer Services available for selected titles. Remote job submission is the most developed for NPHS. Applications can now be submitted through the SSHRC Web site. ACCESS Open Free Statistics Restricted Expensive Data

19. Products and Services Summary – statistical information  traditional ways of handing print statistics now challenged by online statistics and data – statistics & data sources  Statistics Canada is an important source but not the only source – continuum of access  Several points of access may be needed when dealing with Statistics Canada

20. Product Types The DLI license provides post-secondary institutions with access to “standard data products”, which consist of public use microdata, aggregate databases, and geography files listed in the Statistics Canada Catalogue.

21. Product Types Think of this as the stuff that is sold, excluding publications and services. Tape CD-ROM Diskette STC Online Catalogue – Medium Categories

22. Product Types Think of this as the stuff that is sold, excluding publications. Tape CD-ROM Diskette

23. Product Types Aggregate data – statistics organized in databases or as data files – tabulations structured by time, geography, and social content

24. Aggregate Data Structure – Time – Geography – Social Content Example: CANSIM

25. Aggregate Data Structure – Time – Geography – Social Content Example: CANSIM

26. Aggregate Data Structure – Time – Geography – Social Content Example: Census

27. Aggregate Data Structure – Time – Geography – Social Content Example: Small Area Statistics

28. Aggregate Data Structure – Time – Geography – Social Content Example: HID

29. Product Types Microdata – raw data organized in a file where the records or lines in the file are observations of a specific unit of analysis and the information on the lines are the values of variables – requires some form of processing or analysis to be used

30. Public Use Microdata Anonymized Microdata – these are microdata prepared to minimize the possibility of disclosing or identifying any of the cases or observations – the original data (or master file) are edited to create a public use microdata file

31. Public Use Microdata Steps in Anonymizing Microdata  removal of all personal identification information (names, addresses, etc)  include on gross levels of geography  collapse detailed information into a smaller number of general categories  suppress the values of a variable

32. Public Use Microdata Statistics Canada PUMFs – only available for select social surveys that undergo a review of the Data Release Committee, an internal Statistics Canada committee – no enterprise public use microdata

33. Public Use Microdata Statistics Canada PUMFs – almost all are cross-sectional, that is, represent data collected at one point in time – longitudinal data are difficult to anonymize and maintain useful information

34. Public Use Microdata Statistics Canada PUMFs – how do you recognize a PUMF? Statistics Canada calls them public use microdata files in the Daily.

35. Statistics Canada Microdata Other Microdata in Statistics Canada – Master files: these are the confidential files from which public use microdata are created. They contain the fullness of the data captured about the unit of observation.

36. Statistics Canada Microdata Other Microdata in Statistics Canada – Share files: these are confidential files in which the respondents have signed a consent form permitting Statistics Canada to allow access for approved research to their information.

37. Product Types Geography Files – Census digital boundary and cartographic files in two proprietary formats: ArcView and MapInfo – correspondence tables for linking between Postal Code geography and Census geography

38. Product Types Digital Copies of Standardized Code Lists and Concordances – Files containing standardized codes for industry, goods, and occupations – correspondence tables between versions of standardized codes for industry and occupations

39. Data Service Models Service 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

40. Data Service Models Choose a model that matches your staff and computing resources

41. 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

42. 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

43. 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

44. 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

45. 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

46. 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

47. 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.

48. Access Models The access models for data and statistics are not really that different from the models employed with bibliographic and full-text databases.  stand-alone workstation  local area network CD- server  campus network server  Internet server

49. Examples of Access Models Let’s look at some technology-based examples of access models divided between: – statistics and aggregate data, and – microdata.

50. Stand-alone Workstation Advantages – install once with usually fewer problems – usually fewer license issues Disadvantages – patron must come to the service – queues may develop to use the workstation

51. Stand-alone Workstation DLI Examples – Statistics and Aggregate Data  1996 Census CD-ROMs, Industrial Monitor, Inter-corporate Ownership, Canadian Business Patterns – Microdata  1996 Census Public Use Microdata Files  a download station for data services staff to write files onto removable media

52. LAN CD Server Advantages – access to a wider number of concurrent users – products not as ghettoized Disadvantages – patron may still have to come to the service – LANs increase installation difficulties

53. LAN CD Server DLI Examples – Statistics and Aggregate Data  1996 Census CD-ROMs, Industrial Monitor, Inter-corporate Ownership, Canadian Business Patterns (same examples) – Microdata  place on a shared disk drive copies of microdata files for patrons to analyze or to write files onto removable media

54. Campus Network Server Advantages – access to largest number of concurrent users – patron does not have to come to the service Disadvantages – licensing issues tend to increase – helper apps must be widely installed

55. Campus Network Server DLI Examples – Statistics and Aggregate Data  Beyond 20/20 files from the 1996 Census or Health Indicators (serve files not necessarily applications) – Microdata  place on an institutional file server copies of microdata files for patrons to analyze or to write files onto removable media  use of data extraction tools

56. Internet Server Advantages – possible to integrate local and remote services through a common (seemingly seamless) point of access – increases flexibility in the use of local hardware & storage – creates sharing opportunities between institutions

57. Internet Server Disadvantages – increases dependence on the agenda of others to enhance and fix problems – often must pay a subscription fee to use – may increase licensing obligations

58. Internet Server DLI Examples – Statistics and Aggregate Data  access to Internet database applications such as E-STAT and CHASS CANSIM II – Microdata  access to Internet data extraction tools such as IDSL, LANDRU, ISLAND, QWIFS, Sherlock, TDR

59. A Mixed Access Model Many of us employ a mix of the above access methods. This depends upon: – our institution’s technology mix – our access to technology on our campus – ways that we’ve handled different formats

60. Access/Dissemination Issues Regardless of the access method used, certain issues apply in all instances. – managing licenses – determining dissemination options

61. Managing Licenses  What are the conditions of use specified in the license?  What type of identification or authentication is required?

62. Managing Licenses DLI License – must be an authorized user  need to identify type of user – has only conditional use of material  need to restrict to non-commercial uses of material – permits sharing among DLI member institutions

63. Managing Licenses Product Licenses – may restrict the use of the product  e.g., Beyond 20/20: educational use only – may restrict the number of copies that can be disseminated – may prevent the distribution of a specific format for a product  e.g., Oracle & World Trade Analyzer

64. Managing Licenses Special Vendor Licenses – may require a content license separate from the access method  e.g., CHASS’ CANSIM access is based on the DLI license to provide access to the content in CANSIM and the CHASS license is required to use their Internet access tool

65. Dissemination Options Determining how to disseminate DLI products – what are finding tools for locating DLI products at your institution? – what are the access formats needed for your institution?

66. Dissemination Options Finding Tools – will the product be catalogued? – will the product be associated with a specific service and/or workstation?  e.g., located in Data Services or Reference – will the product be listed on the library web site?

67. Dissemination Options Access formats – is there a format that is commonly requested at your institution?  e.g., do most patrons want microdata in SPSS.sav files? – is there a dissemination format that is required as part of your service?  e.g., a format for a data extractor

68. Products, Service, Access This concludes the discussion on DLI products, data service models, and access models. More will be said about reference and technical services for data later today.