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TPS3037 - Strategic Planning in Educational Organizations

TPS3037 - Strategic Planning in Educational Organizations. Date: November 14, 2002 Presenter: Laine G.M. Ruus, Data Library Service, University of Toronto <laine.ruus@utoronto.ca>. Outline. Who collects data about us What kinds of statistics/data do they collect & disseminate

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TPS3037 - Strategic Planning in Educational Organizations

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  1. TPS3037 - Strategic Planning in Educational Organizations Date: November 14, 2002 Presenter: Laine G.M. Ruus, Data Library Service, University of Toronto <laine.ruus@utoronto.ca>

  2. Outline • Who collects data about us • What kinds of statistics/data do they collect & disseminate • Statistics Canada dissemination models • E-stat: history, what it includes • Case studies

  3. data  statistics  knowledge  wisdom

  4. Who collects data about us? • Private sector • Marketing and public opinion companies • Banks and credit companies • Academic sector • Government • federal • provincial • municipal

  5. Data quality considerations Data/statistics: • Source attribution of all data and statistics • Transparency of derived data Collector: • Protection/guarantee of privacy and confidentiality • Changes and corrections • Obligation to publish/inform

  6. Government data collection: federal • Canada Customs and Revenue Agency • Citizenship and Immigration Canada • Human Resources Development Canada • Statistics Canada • own data collection • data collection for other government institutions under contract (e.g. NLSCY)

  7. Government data collection: provincial • Ministry of Consumer & Business Services • Registration Division • Registrar General Branch • Ministry of Health and Long-term Care • Ministry of Transportation • Ministry of Education

  8. Statistics Canada data collection: • Process-produced data (e.g. births, deaths, marriages, imports, exports, annual data collection instruments, etc.) • Sample surveys (e.g. National survey of graduates, NLSCY, etc.) • Census of population (100% sample) • first conducted in 1666 • every 10 years 1871-1951 • every 5 years 1961-2001 (latest)

  9. What kinds of data and statistics does STC disseminate? Statistics • brief descriptive statistics (STC Daily) • descriptive and analytical publications • statistical publications • special purpose statistical products • metadata and methodological publications

  10. What kinds of data and statistics does STC disseminate? (cont’d) Data • microdata (e.g. public use microdata files) • aggregate data (e.g. from census of population) • time-series data (e.g. CANSIM) • metadata

  11. Statistics Canada’s dissemination models: • public access - via WWW - unrestricted • semi-public - via WWW, IP-address controlled • academic - subscribing universities only, no STC WWW access • super-restricted

  12. Public access • Canadian statistics site: <http://www.statcan.ca/english/Pgdb/> • Statistics Canada Daily <http://www.statcan.ca/english/dai-quo/> • selected free publications, at: <http://www.statcan.ca/cgi-bin/downpub/freepub.cgi> • selected Census 1996 and 2001 tables <http://www12.statcan.ca/english/census01/release/index.cfm> • CANSIM II & trade data for fee services • custom tabulations (for fee)

  13. Semi-public access Depository Services Program (DSP) • priced publications, print and electronic <http://dsp-psd.pwgsc.gc.ca/Collection-R/Statcan/index-e.html> • E-stat: <http://estat.statcan.ca/> • Census of Canada, 2001: selected Profile and Topic-based tabulations <http://www12.statcan.ca/english/census01/products/standard/themes/index.cfm> • selected statistical products

  14. Subscribing universities only • Data Liberation Initiative (DLI) <http://www.statcan.ca/english/Dli/contents.htm> • CANSIM II (updated weekly) <http://dc1.chass.utoronto.ca/> • Census of Canada, 1986-2001: all Profile and Topic-based tabulations <http://www.chass.utoronto.ca/datalib/cc01/cc01.htm#agg>

  15. Subscribing universities only (cont’d): • Census of Canada microdata files <http://www.chass.utoronto.ca/datalib/major/canpumf.htm> • other microdata files, e.g. in education <http://www.chass.utoronto.ca/datalib/major/educ.htm> • selected other statistical products <http://www.chass.utoronto.ca/datalib/other/findcans.htm>

  16. Super-restricted access: • Research Data Centres (RDCs) <http://www.utoronto.ca/rdc/> • longitudinal microdata files (e.g. National longitudinal survey of children and youth (NLSCY)) • selected master [microdata] files <http://www.statcan.ca/english/rdc/whatdata.htm>

  17. STC dissemination models (summary): public semi academic super- (free) restricted Daily  Descriptive/analytic   Statistical pubs    Aggregate statistics    Time-series statistics   Microdata  

  18. E-stat: a brief history • early 1990s, concern about numeracy (LSUDA 1989 and IALS 1994) • Norwegian Social Science Data Archive (NSD) developed NSDstat for Norwegian high schools • E-stat is STC’s attempt to encourage introduction of statistics into high school curriculum • first E-stat on cd-rom, ca 1995 • by 1998, a WWW-application

  19. E-stat: what’s in it • selected free/priced publications (STC Daily, Canada Yearbook, Canadian social trends, etc.) • CANSIM II, updated annually • Census profile files from 1986, 1991, 1996 and 2001 census • selected cross-tabulations from 1996 & 2001 census • selected other WWW-based products, e.g.: • Human activity and the environment

  20. Finding STC statistics & data Case study: Numeracy • STC Daily • STC site search • Canadian statistics • E-stat • DLI

  21. Case study: University enrollment • Canadian statistics : • full/-part time, by province, 1994/95-1998/99 • STC Daily • E-stat: • by program field, year in program, sex, province, full/part-time, 1976/77-1997/98 • DLI: • 1970/71-1996/97, field of study (161) • local: • e.g. USIS, by institution, 1972-1997

  22. Case study: Employment by industry • Canadian statistics • 1986-1996, provinces & territories, CMAs, 19 categories • E-stat • CANSIM II & 1986-1991-1996 Census profiles • DLI: • Census 1961-1996 (36 tables in 1996, 711 categories) • Annual estimates of employment earnings & hours • Canadian business patterns • Labour force historical review

  23. Case study: census characteristics by postal code • Canadian statistics • E-stat • DLI: • FSA-level census profile files 1986-2001 • Postal code conversion file (PCCF) <http://www.chass.utoronto.ca/datalib/codebooks/cstdli/pccf_how.htm>

  24. Summary of points: • The bulk of available data/statistics from Statistics Canada are not linked at www.statcan.ca • If Statistics Canada asks you to pay for a product, you can usually get it for free, if you are a faculty/student/staff member at a Canadian university • Do not assume that because you can’t find it, it doesn’t exist - ask! • Always use data and statistics appropriately.

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