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Webmetrics Workshop American Library Association Chicago, IL June 24, 2004 Martha Kyrillidou Director, ARL Statistics and Measurement Program Association of Research Libraries www.statsqual.org StatsQUAL™

Webmetrics Workshop

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StatsQUAL™. Webmetrics Workshop. Martha Kyrillidou Director, ARL Statistics and Measurement Program Association of Research Libraries. American Library Association Chicago, IL June 24, 2004. www.statsqual.org. ARL Roles. ARL Statistics and Measurement. - PowerPoint PPT Presentation

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Page 1: Webmetrics Workshop

Webmetrics Workshop

American Library AssociationChicago, IL

June 24, 2004

Martha KyrillidouDirector, ARL Statistics and Measurement Program

Association of Research Libraries

www.statsqual.org

StatsQUAL™

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ARL Roles

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ARL Statistics and Measurement

…To describe and measure the performance of research libraries and their

contribution to

teaching, research, scholarship and community

service …

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Web Presence

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Future of New Measures Initiative

• Incorporation of some new data elements in traditional surveys

• Development of workshops and consulting services for performance measures

• Establishment of data gathering and statistical analysis tools

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What do we mean by E-Metrics within ARL?

• DigiQUAL

• MINES for Libraries

• ARL Supplementary Statistics

• Project COUNTER

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It’s…? “familiar” and digital

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Developing DigiQUAL Survey Items

• Background: ServQUAL ->LibQUAL ->DigiQUAL– LibQUAL dimensions of library service quality

DigiQUAL: 12 themes of DL service quality

Accessibility Collection building DL as community for users Copyright

Navigability Resource use ...developers Role of federations

Interoperability Evaluating collections ...reviewers DL sustainability

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Building a Survey (cont.)

CustomizeSurvey

Issue: Flexibility vs. Standardization

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Implementing Survey - Incentives

Issues: must be easily transferable, requires email address - clear IRB

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What is MINES for Libraries™

• MINES is a research methodology consisting of a web-based survey form and a sampling plan.

• MINES measures who is using electronic resources, where users

are located at the time of use, and their purpose of use.

• MINES was adopted by the Association of Research Libraries (ARL) as part of the “New Measures” toolkit in May, 2003.

• MINES is different from other electronic resource usage measures that quantify total usage (e.g., COUNTER, EQUINOX, E-Metrics, ICOLC Guidelines, ISO and NISO standards) or measure how well a library makes electronic resources accessible (LibQual+TM).

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MINES for Libraries™ Methodology

• A representative sampling plan, including sample size, is determined at the outset. Typically, there are 48 hours of surveying over 12 months at a medical library and 24 hours a year at a main library.

• Random moment/web-based surveys are employed at each site.

• Participation is usually mandatory, negating non-respondent bias, and is based on actual use in real-time.

• Libraries with database-to-web gateways or proxy re-writers offer the most comprehensive networking solution for surveying all networked services users during survey periods.

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What do we mean by E-Metrics within ARL?

• DigiQUAL

• MINES for Libraries

• ARL Supplementary Statistics

• Project COUNTER

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BackendDatabase

o Data Extraction & Normalization

o Library and Vendor Profiles

o Report Request and Generation

o Usage Aggregation

o Comparison

User Interface

VariousData

Elements

DatabaseQuery &

DataRetrieval

Figure1. Key Processes for a Central Repository for Vendor Usage Statistics

UsageStatistics

UsageStatistics

UsageStatistics

UsageStatistics

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BackendDatabases

o Data Extraction & Normalization

o Library and Vendor Profiles

o Report Request and Generation

o Usage Aggregation

o Comparison

User Interfaces

VariousData

Elements

VariousData

Elements

DatabaseQuery &

DataRetrieval

Figure2. Key Processes for Decentralized Repositories forVendor Usage Statistics

UsageStatistics

UsageStatistics

UsageStatistics

UsageStatistics

o Report Request and Generation

o Usage Aggregation

o Comparison

o Data Extraction & Normalization

o Library and Vendor Profiles

DatabaseQuery &

DataRetrieval

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o Report Request and Generation

o Usage Aggregation

o Comparison

DatabaseVendors

User Interface

Figure 3. Key Processes for Distributed Access to Vendor Usage Statistics

UsageStatistics

UsageStatistics

UsageStatistics

UsageStatistics

Gateway

GatewayWeb Service Request &

Data Retrieval

Gateway

Gateway

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Interpreting results from individual libraries in the context of other sites

Analysis & Reporting - Issues

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