Systems Analysis as a Decision-Making Tool for the Library Manager

published or submitted for publicatio

SciTech News Volume 71, No. 2 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division 9 Aerospace Section of the Engineering Division 12 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 14 Reviews Sci-Tech Book News Reviews 16 Advertisements IEEE

SciTech News Volume 71, No. 1 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11 Reviews Sci-Tech Book News Reviews 12 Advertisements IEEE

In Search of a New Model: Library Resource Sharing in China - A Comparative Study

This paper reviews the framework of library resource sharing (LRS) in China and examines, from a comparative perspective, cases of recent development, particularly in the 1990s and early 2000s. Highlights include: (1) historical review of LRS in the U.S. and China, particularly in the areas of print union catalogs and union lists, online bibliographic utilities, and interlibrary loan; (2) literature review of Chinese publications, and LRS issues and challenges in China; (3) Analysis of three LRS models to provide a contextual grasp of a paradigm shift taking place in China; and (4) comparative analysis of LRS objectives, structure, and governance, etc., in the U.S. and China. The study also underscores the imperative for building a national digital library system in China to gain a competitive edge in resource sharing and to support the country’s rapid social and economic growth. At this stage of development, the success of China Academic Library & Information System provides a convincing argument for a national digital library system with its methods of governing, financing, and development

Special Libraries, March 1955

Volume 46, Issue 3https://scholarworks.sjsu.edu/sla_sl_1955/1002/thumbnail.jp

Special Libraries, December 1975

Volume 66, Issue 12https://scholarworks.sjsu.edu/sla_sl_1975/1009/thumbnail.jp

Towards Exascale Scientific Metadata Management

Advances in technology and computing hardware are enabling scientists from all areas of science to produce massive amounts of data using large-scale simulations or observational facilities. In this era of data deluge, effective coordination between the data production and the analysis phases hinges on the availability of metadata that describe the scientific datasets. Existing workflow engines have been capturing a limited form of metadata to provide provenance information about the identity and lineage of the data. However, much of the data produced by simulations, experiments, and analyses still need to be annotated manually in an ad hoc manner by domain scientists. Systematic and transparent acquisition of rich metadata becomes a crucial prerequisite to sustain and accelerate the pace of scientific innovation. Yet, ubiquitous and domain-agnostic metadata management infrastructure that can meet the demands of extreme-scale science is notable by its absence. To address this gap in scientific data management research and practice, we present our vision for an integrated approach that (1) automatically captures and manipulates information-rich metadata while the data is being produced or analyzed and (2) stores metadata within each dataset to permeate metadata-oblivious processes and to query metadata through established and standardized data access interfaces. We motivate the need for the proposed integrated approach using applications from plasma physics, climate modeling and neuroscience, and then discuss research challenges and possible solutions

Index to Library Trends Volume 38

published or submitted for publicatio

Special Libraries, December 1964

Volume 55, Issue 10https://scholarworks.sjsu.edu/sla_sl_1964/1009/thumbnail.jp