Search (3 results, page 1 of 1)

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Abstract

Evaluates, through deep log analysis, the impact of "Big Deal" agreements on the online searching behaviour of users of the Emerald digital library Web site, which provides access to more than 150 journals in the fields of business and information science. The purpose of the evaluation was to map the online information seeking behaviour of the digital library user and to see whether those signed-up to a Big Deal arrangement behaved any differently from the others. In general they did. The real surprise proved to be the strong consumer traits of the library's users. Research reported here refers to the first stage of a three-stage research project.

Footnote

Beitrag in einem Themenheft: "Knowledge production, consumption and impact "

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Abstract

An international survey of over 3,600 researchers examined how trustworthiness and quality are determined for making decisions on scholarly reading, citing, and publishing and how scholars perceive changes in trust with new forms of scholarly communication. Although differences in determining trustworthiness and authority of scholarly resources exist among age groups and fields of study, traditional methods and criteria remain important across the board. Peer review is considered the most important factor for determining the quality and trustworthiness of research. Researchers continue to read abstracts, check content for sound arguments and credible data, and rely on journal rankings when deciding whether to trust scholarly resources in reading, citing, or publishing. Social media outlets and open access publications are still often not trusted, although many researchers believe that open access has positive implications for research, especially if the open access journals are peer reviewed.

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Abstract

The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars - academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name 'deep'. In this connection the usage of two digital journal libraries, those of EmeraldInsight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber ("Big Deal", non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.