Search

The speakers discussed practical steps that smaller institutions could take to develop their own institutional repositories (IRs) from scratch using local resources. Yuji Tosaka spoke about the overall context and problems that IRs can present for smaller institutions; Cathy Weng then gave an overview of The College of New Jersey's efforts to develop an IR and discussed the college's MUSE project, a college-wide mini-grant program for working with selected undergraduate students on research and creative activity, and how this internal opportunity led to an IR pilot project. Tosaka ended by speaking about life after MUSE and the still-ongoing IR development. [ABSTRACT FROM AUTHOR]

This article describes two serialists who use skills honed in their respective serials departments to show how those skills adapt to the world of e-publishing. The presenters discussed their roles in e-publishing and their respective university presses and library publishing programs. How have their libraries reorganized to provide resources for supporting these new roles? The daily work of an e-publishing librarian was reviewed, including an overview of working with Digital Commons and Open Journal Systems, two e-press platforms. The presenters also discussed funding and sustainability of the programs, and working with open access and subscription titles. [ABSTRACT FROM AUTHOR]

Nothing can function well without standards and best practices, including the information world. The National Information Standards Organization (NISO) works with the information community to develop standards and best practices to improve interoperability and workflow efficiency in a wide range of areas from metadata transfer to information retrieval. To ensure a community consensus, NISO brings every interested party into the process of developing standards and best practices through working groups. Current work and updates from two NISO-sponsored working groups, Open Discovery Initiative and Presentation and Identification of E-Journals, were covered in this presentation. [ABSTRACT FROM AUTHOR]

Automated indexing--using a computer to look at individual documents and assign metadata without a person looking at every document--was used to build an interactive online database to store and retrieve pages from a loose-leaf resource (i.e., a resource that changes state over time). A database was designed and more than 30,000 pages in the database were indexed. Digitization, optical character recognition, and computer scripting to extract metadata were the methods used to assign most metadata. In places where the computer program could not assign metadata, a person looked at the document and assigned metadata. The index was audited for errors. The computer script and the human indexer had comparable error rates but computer indexing spent much less time per value assigned. It is recommended that automated indexing be considered in indexing projects, especially where a large number of similar documents are to be indexed. [ABSTRACT FROM AUTHOR]