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Online Library of Knowledge Online Library of Knowledge Juro4C Juro4C

Online Library of Knowledge

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Online Library of Knowledge. Juro4C. Available Modules Common Tasks in forms Import Consolidation Usage reports. Outline. Available modules. Available modules. Import usage statistics. 3 types of data import Manual Batch Sushi Support for counter and non counter publishers - PowerPoint PPT Presentation

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Page 1: Online Library of Knowledge

Online Library of KnowledgeOnline Library of Knowledge

Juro4C Juro4C

Page 2: Online Library of Knowledge

• Available Modules• Common Tasks in forms• Import• Consolidation• Usage reports

Outline

Page 3: Online Library of Knowledge

Available modules

Administration area User area

Usage Report

Import Usage Statistics

Function Administration

Institution Type Admin

Institution Administration

Institution FTEs

Sushi Providers

Sushi Institutions

User Administration

Utils

Change Password

Usage Report

Change Password

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Available modules

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Import usage statistics

• 3 types of data import– Manual– Batch – Sushi

• Support for counter and non counter publishers• Manual adjust in some providers

Counter

Elsevier

Ebsco

...

Non counter

IEEE proceedings

ACM proceedings

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• Files are located in local computer and upload to server

• 2 Log files (global and file specific)

• Backup file without changes for preservation

Manual Import

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• Files are located in the server • File specific name : institution_id.csv (ex: 500.csv)• 2 Log files (global and file specific)• Backup file without changes for preservation

Batch Import

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• Publishers don’t have yet this feature.

• Mandatory to define :– Provider (url)– Institution (username, password, sushi ID)

• Can be run as :– batch mode– Cron job

• Keeps a state of the last result (OK, Not OK)• Only imports data from the last successful run• 2 log files

Sushi Import (1/2)

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cd /juro4c/runBatch

. /batchSushi.sh

Sushi Import (2/2)

B-on has already made some tests with Elsevier

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• Process of passing imported data into the data warehouse

• The data warehouse contains 2 fact and 6 dimensions tables

• Time consuming process

Consolidation (1/2)

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Consolidation (2/2)

• Logs are written to main file

• Desirable to Clean temporary tables after process

• In case of browser timeout, the process continues to run in the server

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Usage Reports

Available reports

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• Presents matrix with Provider x Month • User see his institution

E-journal Full Text access JR1

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• Number Downloads / nr Titles• Group by year and provider

Average Usage

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• Grouped by Provider, Year

Total usage by platform

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• Grouping is done by ISSN

Top 10/50/100 Journals

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• Grouped by platform and title

Number of titles per platform

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• Journals with less than 5 downloads• Presents the first 100 Journals• Grouped by platform and provider

Low usage report

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• Presents the first 100 journals with zero downloads in a period

• Grouped by platform and publisher

Zero Usage report

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• Number of downloads / Nr titles• Grouped by Provider

Average usage per title

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• Nr Downloads / Nr FTE• Grouped by year

Average Use per FTE

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• Run in batch mode• Overlap is made with the ISSN• Produces 1 html file with:

– Matrix with the titles common between providers– List of titles that are overlap

• Recommendations– Overlap between Provider and Aggregator should not as much

importance– The overlap does not check if the title has changed publisher in a

time period

Batch overlap matrix (1/2)

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Batch overlap matrix (2/2)

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Thank you!