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

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

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

The Data Liberation InitiativeOrientation Session

Statistics Canada / Statistique Canada

University of Alberta

December 5, 2001

Chuck Humphrey

Page 2: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Products and Services

Establishing Perspectives– statistical information

statistics and data

– statistics & data sources national and international

– continuum of access DLI

Page 3: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 4: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

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

Statistical Information

Statistics ... and a map!

Page 6: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 7: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Statistical Information

Product Implications± may only see graphical displays of

statistics or data without the numbers or data

• example: Web map servers

Page 8: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 9: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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)

Page 10: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Statistics & Data Sources

Financial & StockData

AcademicResearch

Data

Statistics Canada

OtherCanadianGov’t &

Non-gov’tSources

Page 11: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Statistics & Data Sources

Statistics CanadaOther 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

Page 12: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 13: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 14: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 15: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Statistics & Data Sources

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

Page 16: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.

Page 17: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 18: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Statistical Information Available through Statistics Canada

Different Services

Service:Statistics

Canada WebsiteDepository

ServiceProgram

Data LiberationInitiative

Cu$tomizedTabulations &Pay per View

Remote JobSubmission

Research DataCentres

Who isEligible &Conditions:

General Public:available on theInternet at

www.statcan.ca

DesignatedDSP Libraries& their Users:available on site

Post-secondaryAcademic:restricted toteaching andresearch purposes

Individuals:contract betweenSTC andindividual

ApprovedResearchers:contract betweenSTC andindividual

ApprovedResearchers:SSHRC peerreview & deemedSTC employee

Products:- The Daily- Canadian

Statistics- Census- Statistical profiles

of Canadiancommunities

- Downloadablepublications

- Paper publica-tions- Electronic pub-lications, which

includes priceddown-loadable

publications &select CD ROMS

Standard dataproducts:aggregate databases, microdatafiles andgeography files

Tables fromconfidential filesthat are speciallyproduced byStatistics Canadafor a fee andaccess tospecializeddatabases

“Dummy” orsynthetic files tobuild analysissetups that mustthen be submitted

to Stats Can forprocessing

Confidential datafiles from thelongitudinalsurveys begun inthe 1990’s

NotesWarning: some

parts of the Websiteare fee-based

Some DSPlibraries provideoff-site access toauthenticatedusers

Interface toCANSIM I andTrade Analyzeravailable throughCHASS (Universityof Toronto) bysubscription

Specializeddatabases includeCANSIM II andTrade Analyzer

Services availablefor selected titles.Remote jobsubmission is themost developedfor NPHS.

Applications cannow be submittedthrough theSSHRC Web site.

ACCESSOpen

FreeStatistics

RestrictedExpensiveData

Page 19: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 20: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.

Page 21: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Product Types

Think of this as the stuff that is sold, excluding publications and services.

• Tape• CD-ROM• Diskette

STC Online Catalogue – Medium Categories

Page 22: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Product Types

Think of this as the stuff that is sold, excluding publications.

Tape

CD-ROM

Diskette

Page 23: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Product Types

Aggregate data– statistics organized in databases

or as data files– tabulations structured by time,

geography, and social content

Page 24: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Aggregate Data

Structure

– Time

– Geography

– Social

Content

Example: CANSIM

Page 25: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Aggregate Data

Structure

– Time

– Geography

– Social

Content

Example: CANSIM

Page 26: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Aggregate Data

Structure

– Time

– Geography

– Social

Content

Example: Census

Page 27: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Aggregate Data

Structure

– Time

– Geography

– Social

Content

Example: Small Area Statistics

Page 28: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Aggregate Data

Structure

– Time

– Geography

– Social

Content

Example: HID

Page 29: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 30: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 31: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 32: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 33: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 34: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Public Use Microdata

Statistics Canada PUMFs– how do you recognize a PUMF?

Statistics Canada calls them public use microdata files in the Daily.

Page 35: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.

Page 36: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.

Page 37: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 38: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 39: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 40: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Data Service Models

Choose a model that matches your staff and computing resources

Page 41: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentationInstall & Store (data & documentation)

ReferenceSearch for dataInterpret documentationRetrieve or download dataProcess data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentationInstall & Store (data & documentation)

ReferenceSearch for dataInterpret documentationRetrieve or download dataProcess data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Page 42: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentation Install & Store (data & documentation)

ReferenceSearch for dataInterpret documentationRetrieve or download dataProcess data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentation Install & Store (data & documentation)

ReferenceSearch for dataInterpret documentationRetrieve or download dataProcess data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Page 43: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentation Install & Store (data & documentation)

Reference Search for data Interpret documentation Retrieve or download data Process data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Acquisition Fill a Request Locate data Order data & documentationCollection Development

Select & Locate dataOrder data & documentation

Catalogue data & documentation Install & Store (data & documentation)

Reference Search for data Interpret documentation Retrieve or download data Process data

change formatssubset cases or variablesaggregate casesmerge filesanalyze data

Page 44: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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 casesmerge filesanalyze 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 casesmerge filesanalyze data

Page 45: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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 casesmerge filesanalyze 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 casesmerge filesanalyze data

Find a referral partner on campus

Page 46: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 47: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.

Page 48: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 49: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Examples of Access Models

Let’s look at some technology-based examples of access models divided between:

– statistics and aggregate data, and

– microdata.

Page 50: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 51: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 52: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 53: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 54: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 55: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 56: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 57: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 58: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 59: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 60: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Access/Dissemination Issues

Regardless of the access method used, certain issues apply in all instances.

– managing licenses– determining dissemination

options

Page 61: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

Managing Licenses

What are the conditions of use specified in the license?

What type of identification or authentication is required?

Page 62: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 63: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 64: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 65: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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?

Page 66: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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?

Page 67: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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

Page 68: The Data Liberation Initiative Orientation Session Statistics Canada / Statistique Canada University of Alberta December 5, 2001 Chuck Humphrey

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.