http://sched.co/4Cgr Many libraries suffer from budget cuts and exchange rate fluctuations. They can optimize their (usage-base) subscriptions using the journal access statistics from their organization. Such statistics is usually provided by publishers in a COUNTER-compliant format, which only includes total access numbers without revealing access patterns and internal details, such as access filtering. NIMS Library uses a proxy server to access e-journals, which logs all HTTP requests to journal websites. If we can map URLs in the log files to journals then we can compare them with the COUNTER-based statistics and obtain more accurate and detailed usage reports. For this purpose, we have developed an access log analyzer, which includes mapping rules from URLs to journals and can be tuned by the librarians. In this survey, we will show the following: - How this log analyzer and mapping function work - How we can distinguish accesses to the full text, abstract and supplementary content from access logs - How we integrate the log analyzer to other library systems such as ERMS - How we analyze access to journals from different publishers - Difficulties in creating and updating mapping rules per publisher - The differences between the COUNTER-based usage statics and actual access numbers

1. A library challenge - institutional library subscriptions to
beneficiary charges to library users under the library
budget cuts
Contact: NIMS Library, National Institute for Materials Science
Email: nims_library@nims.go.jp Website: https://library.nims.go.jp
November 6th, 2015 Charleston Library Conference
1. Introduction 2. Overview of Proxy Log analyzer
4. Results of the analysis
5. Discussion and proposal
a01xxxx http://journals.aps.org/prb/
abstract/10.1103/PhysRevB.91.014513 HTTP 200 10902
1550-235XISSN
Journal title ID
(GOKb identifier)
org.gokb.cred.TitleInstance:40122
Kosuke Tanabe(*), Minoru Tanabe(**), Mikiko Tanifuji(*)
(*) National Institute for Materials Science (**) MMtwins, Inc.
Libraries can maintain journal subscriptions in
responding to research trends and activities.
Unresolved problems:
Proposed solution to publishers:
3. How to identify a journal title and
its content type from access logs
GOKb API
DOI
10.1103/PhysRevB.91.014513
CrossRef API
http://example.org/fulltext/10.1103/PhysRevB.91.014513
http://example.org/doi/10.1103/PhysRevB.91.014513
Easily identified
as full-text and
“paid” content!
Some publishers provides
an abstract and full-text
in the same URL
(Need some standards for the URL patterns)
abstract
Content
type
a01xxxx
User
Eliminate ambiguity
in journal titles
Extract journal
information
From log entries
URL matching rule
Log entry
How can we identity COUNTER stats
with free and not-free contents at a user level?
Cannot identify
whether it is
full-text or abstract
Then
Manifest the content
type in the URL
Content type identification relies on
only the string in the URL
Needs more
accuracy!
URL pattern
matching
ProxyLogAnalyzer
COUNTER JR1
• To optimize library subscriptions, we plan
to introduce “cost-benefit” principle to the
NIMS Library users.
• The principle is to monitor usages by users’
access logs at NIMS proxy server,
– to full-text (paid) and abstract
(free-of-charge) of online journals,
– breakdown by users or research
groups with subject fields.
• But publishers’ COUNTER reports contain
only number of downloads per journal at
institutional IP level – not enough details!
• Target: 1500 LDAP accounts, 600 journals, 160,000
log entries from May to July 2015
• In comparison to COUNTER JR1:
i. The number of
download from
COUNTER reports
and the NIMS Proxy
Log analyzer show a
similar distribution.
ii. Capture rates vary
widely among
publishers.