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Keywords:
Ithaka; Ithaka; JSTOR; Euclid
Ithaka; Ithaka; JSTOR; Euclid
Summary:
JSTOR is one of the primary providers of scholarly mathematics texts, providing access to journals in mathematics and the sciences dating back to the mid 1600’s. There is now a critical mass of literature online and the task going forward is as much to provide tools to make it more accurate, more discoverable and more usable as it is to add more material. Often the tool building can be done by collaboration between information retrieval experts and practitioners in the field, irrespective of the subject area. Mathematics, however, provides special problems, since the literature is inaccessible to those outside of the field and so mathematicians are the only ones capable of providing the nuanced understanding of notation and meaning necessary to establish equivalence and relevance; the archivists are simply unable to provide the level of expertise and curation necessary. Mathematics therefore provides a unique opportunity to build tools for the discovery and use of the literature via community contributed curation and management of the material. We argue that this community is exceptional and it needs to define and build unique infrastructures, infrastructures that co-exist alongside existing repositories and allow mathematicians to structure their resources and discourse independently of the holder of the material. We will discuss various programs and projects in JSTOR labs of relevance to the mathematics community, including the Open Annotations and the Decapod projects and we cover the ways in which JSTOR could work with the community to meet their needs.
References:
1. Doob, Michael: Small Scale Retrodigitization. Department of Mathematics, The University of Manitoba, Canada Zbl 1170.68486
2. Bradley, John: Thinking about interpretation: Pliny and scholarship in the humanities. Literary and Linguistic Computing, Vol. 23, No. 3, 2008. Published by Oxford University Press on behalf of ALLC and ACH.
3.
See http://www.openarchives.org
4.
See http://recaptcha.net
5. Naddeo, A.: Confidence Intervals for the Frequency Function and the Cumulative Frequency Function of a Sample Drawn from a Discrete Random Variable. Review of the International Statistical Institute, Vol. 36, No. 3 (1968), pp. 313–318 Zbl 0165.21001
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