Please wait a minute...
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue (11): 21-    DOI: 10.1631/jzus.2005.A1318
    
An integrated framework for discovering digital library collections
CALHOUN Karen
Library Technical Services, Cornell University, Ithaca, NY 14853, USA
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  Information seekers are generally on their own to discover and use a research library’s growing array of digital collections, and coordination of these collections’ development and maintenance is often not optimal. The frequent lack of a conscious design for how collections fit together is of equal concern because it means that research libraries are not making the most of the substantial investments they are making in digital initiatives. This paper proposes a framework for a research library’s digital collections that offers integrated discovery and a set of best practices to underpin collection building, federated access, and sustainability. The framework’s purpose is to give information seekers a powerful and easy way to search across existing and future collections and to retrieve integrated sets of results. The paper and its recommendations are based upon research undertaken by the author and a team of librarians and technologists at Cornell University Library. The team conducted structured interviews of forty-five library staff members involved in digital collection building at Cornell, studied an inventory of the library’s more than fifty digital collections, and evaluated seven existing Open Archives Initiative (OAI) and federated search production or prototype systems. The author will discuss her team’s research and the rationale for their recommendations to: present a cohesive view of the library’s digital collections for both browsing and searching at the object level; take a programmatic (rather than project-based) approach to digital collection building; require that all new digital collections conform to library-developed and agreed-upon OAI best practices for data providers; and implement organizational structures to sustain the library’s digital collections over the long term.

Key wordsDigital collections      Federated searching      Open Archives Initiative (OAI)      Digital library best practices     
Received: 10 August 2005     
CLC:  TP391  
Cite this article:

CALHOUN Karen. An integrated framework for discovering digital library collections. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(11): 21-.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A1318     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I11/21

[1] Yi-cong Gao, Yi-xiong Feng, Jian-rong Tan. Multi-principle preventive maintenance: a design-oriented scheduling study for mechanical systems[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(11): 862-872.
[2] Jin Cheng, Gui-fang Duan, Zhen-yu Liu, Xiao-gang Li, Yi-xiong Feng, Xiao-hai Chen. Interval multiobjective optimization of structures based on radial basis function, interval analysis, and NSGA-II[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(10): 774-788.
[3] Wen-feng Gan, Jian-zhong Fu, Hong-yao Shen, Zhi-wei Lin. A morphing machining strategy for artificial bone[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(3): 157-171.
[4] Chang-yu Cui, Bao-shi Jiang, You-bao Wang. Node shift method for stiffness-based optimization of single-layer reticulated shells[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(2): 97-107.
[5] Hue-yee Chong, Mahidzal Dahari, Hwa-jen Yap, Ying-tai Loong. Fuzzy-based risk prioritization for a hydrogen refueling facility in Malaysia[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2013, 14(8): 565-573.
[6] David Poto?nik, Bojan Dol?ak, Miran Ulbin. GAJA: 3D CAD methodology for developing a parametric system for the automatic (re)modeling of the cutting components of compound washer dies[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2013, 14(5): 327-340.
[7] Jing-hua Xu, Shu-you Zhang, Jian-rong Tan, Ri-na Sa. Collisionless tool orientation smoothing above blade stream surface using NURBS envelope*#[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2013, 14(3): 187-197.
[8] Francisco J. Martinez-Martin, Fernando Gonzalez-Vidosa, Antonio Hospitaler, Víctor Yepes. Multi-objective optimization design of bridge piers with hybrid heuristic algorithms[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(6): 420-432.
[9] Zhen-fei Zhan, Jie Hu, Yan Fu, Ren-Jye Yang, Ying-hong Peng, Jin Qi. Multivariate error assessment of response time histories method for dynamic systems[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(2): 121-131.
[10] Nur Saaidah Abu Bakar, Mohd Rizal Alkahari, Hambali Boejang. Analysis on fused deposition modelling performance[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(12): 972-977.
[11] Jeonghwa Lee, Chi-Hyuck Jun. Biclustering of ARMA time series[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(12): 959-965.
[12] Ding-yin XIA, Fei WU, Wen-hao LIU, Han-wang ZHANG. Image interpretation: mining the visible and syntactic correlation of annotated words[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(12): 1759-1768.
[13] Kai LUO, Dong-xiao LI, Ya-mei FENG, Ming ZHANG. Depth-aided inpainting for disocclusion restoration of multi-view images using depth-image-based rendering[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(12): 1738-1749.
[14] Rong ZHU, Min YAO. Image feature optimization based on nonlinear dimensionality reduction[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(12): 1720-1737.
[15] Sheng-yang YU, Fang-lin WANG, Yun-feng XUE, Jie YANG. Bayesian moving object detection in dynamic scenes using an adaptive foreground model[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(12): 1750-1758.