The usage factor project update richard gedye research director oxford journals
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The Usage Factor Project Update Richard Gedye, Research Director, Oxford Journals. UKSG Conference Torquay 31 March – 2 April 2009. Usage Factor = Total usage over period ‘x’ of articles published during period ‘y’ Total articles published during period ‘y’.

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The Usage Factor Project Update Richard Gedye, Research Director, Oxford Journals

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The usage factor project update richard gedye research director oxford journals

The Usage Factor ProjectUpdateRichard Gedye, Research Director, Oxford Journals

UKSG ConferenceTorquay 31 March – 2 April 2009


The usage factor project update richard gedye research director oxford journals

Usage Factor =

Total usage over period ‘x’ of articles published during period ‘y’

Total articles published during period ‘y’


Preparing and harmonising data for analysis

Preparing and harmonising data for analysis

  • Journal usage data from multiple publishers to be ingested and analysed by expert third party

    • 6 publishers

    • 1 aggregator

    • 1 hosting service

  • All interested in the insights to be gained from contributing data to the project


  • Key data issues

    Key Data Issues

    • Consistency – numerator/denominator

    • Defining article usage year

    • Defining article publication date

    • Different usage patterns by subject


    Data issues we have addressed

    Data issues we have addressed

    1. Consistency

    • Items in numerator must be in denominator

    • Clear definition of qualifying “items”

      • Machine recognisable

      • Unambiguous

        Solution? All items with a DOI?

    • This will include items such as editorial board listings, calendars of events, sponsoring society announcements, etc.


    Other possible solutions

    Other Possible Solutions

    • Rejected

      • Item must have references

      • Item must not have an empty author field

      • Item must be more than one page in length

    • Possible

      • Cross mapping items against one of the large and inclusive A and I services or citation databases

      • Examining article DTD tags

      • Intelligent textmining


    Longer term solutions

    Longer-term Solutions

    • Encourage publishers to:-

      • Lodge more detailed article metadata with CrossRef

      • Adopt the NLM DTD, use its article categories element, and make the results harvestable


    Key data issues1

    Key Data Issues

    • Consistency – numerator/denominator

    • Defining article usage year

    • Defining article publication date

    • Different usage patterns by subject


    Data issues we have addressed1

    Data issues we have addressed

    2. Article usage year

    • Inter-journal comparisons can be distorted by different patterns of article publication during the calendar year

    • Usage in the first calendar “year” could be as little as one month and as much as 12 months

      Solution

    • provide data about the first 12, 24, 36 months of usage of articles published in each chosen calendar year rather than calendar year usage


    Key data issues2

    Key Data Issues

    • Consistency – numerator/denominator

    • Defining article usage year

    • Defining article publication date

    • Different usage patterns by subject


    Data issues we have addressed2

    Data issues we have addressed

    3. Article publication date

    • Early online version

    • Final online version

    • Printed issue publication date

      • Some early or even “final” versions of articles are published online many months (sometimes years) before the official publication date of the journal issue of which they are nominally a part.

        Solution

    • Supply usage data at the article version level, showing usage patterns of different versions separately


    Key data issues3

    Key Data Issues

    • Consistency – numerator/denominator

    • Defining article usage year

    • Defining article publication date

    • Different usage patterns by subject


    Data issues we have addressed3

    Data issues we have addressed

    4. Potential differences by subject

    • Might usage patterns vary between subject areas?

    • To find out, we needed to identify a third party schema which had classified by subject all journals participating in our project

      Solution

    • Use the Dewey Decimal Codes (DDC) which the British Library have assigned to all the journals for which they hold records (>20,000)


    The usage factor project update richard gedye research director oxford journals

    • With key data issues addressed, we have developed a specification for the report via which participating publishers will transfer their usage data to the appointed third party for analysis


    Data analysis and modelling

    Data Analysis and Modelling

    • Using the data provided, the appointed contractor will produce a report which will:-

      • Outline the various metrics assessed

      • Recommend which of them prove consistent and robust enough to be adopted for scaled up onward monitoring

      • Suggest any ways in which data providers might amend the way they capture, structure, label, and maintain their data which would make the measurement of Usage Factors:-

        • Easier

        • More reliable

      • Propose ways to audit Usage Factors for accuracy


    Usage factor project

    Usage Factor Project

    • More information at:-

      • http://www.uksg.org/usagefactors

      • Or contact:-

        Richard Gedye

        [email protected]


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