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

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

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

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

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

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

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

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

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

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

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

 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

 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

 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

 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

 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

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

Access and Dissemination 1. Access and Dissemination DLI Workshop -- Dec 1999

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

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

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

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

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

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

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

Aggregate and Microdata 2. Aggregate and Microdata DLI Workshop -- Dec 1999

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

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

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

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

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

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

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

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

Case 3 Case 4 Microdata: Cases 3 & 4 from the GSS 2 Main File 000031214110011982001212222221002098200121222222401121111241112121112205020197111971021212222225211026121204300140955720411313022111999901978787879702221411271412400315000616611232222222221111172626162212222666666636212000000020320222224222000022204141101101102111111122111000000210000000002100000000010000000000200000423300200200100000100200 000041100110011101102122222221002009200212222222021111111231212111211208120193811938044122222221111052201203901007504721031191012233520406058787870304221303420708300400001420007111222122211721575656565555555666666656565000555500210222111111110000001111100001101112212122111011010110000110101100000000000000000000000000000000000000000000000000 Case 4

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

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

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

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

Statistics versus Data 3. Statistics versus Data DLI Workshop -- Dec 1999

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

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

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

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

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

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

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

Access Tools for Aggregate Data DLI Workshop -- Dec 1999

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

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

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

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

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

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

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

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