Publication statistics

Pub. period:1997-2012
Pub. count:10
Number of co-authors:14


Number of publications with 3 favourite co-authors:

Andreas Kuehn:
Thea Atwood:
Carrie Solinger:



Productive colleagues

Jian Qin's 3 most productive colleagues in number of publications:

Douglas Tudhope:18
Bryce Allen:9
F. W. Lancaster:4

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Jian Qin


Publications by Jian Qin (bibliography)

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D'Ignazio, John, Qin, Jian and Kitlas, Joshua (2012): Using internship experience to evaluate a new program in eScience librarianship. In: Proceedings of the 2012 iConference 2012. pp. 601-602.

This research project explores the role of internships in a new curriculum designed to educate eScience librarians. Experiential learning was identified early on in the IMLS-funded project as a necessary aspect to give students field exposure to information-related developments of cyberinfrastructure-enabled science. Nine students were tasked to fill out a daily survey that captured their experience at academic and research libraries, field research stations, and national and discipline-based research centers. Analysis of these accumulated "diary" entries is underway to identify learning outcomes of the eSLib program, particularly two required, data-oriented courses the students mastered in the first year of the program. The analysis will also aggregate and trace longitudinally student skill application throughout the summer. Evaluation of student experience should enhance understanding of the relation between the eScience Librarianship program and what is needed by institutions tasked with managing data produced by computer and network-enabled scientists.

© All rights reserved D'Ignazio et al. and/or their publisher

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Curty, Renata Gonalves and Qin, Jian (2012): Indicators for analyzing institutional repositories' performance: an explorative study. In: Proceedings of the 2012 iConference 2012. pp. 613-615.

This paper presents preliminary findings which examines the statistical correlation among and within micro and macro-level variables associated with Institutional Repositories (IRs), in order to explore potential indicators for the study of IRs activity and growth performance.

© All rights reserved Curty and Qin and/or their publisher

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Bohmier, Kayleigh Ayn, Atwood, Thea, Kuehn, Andreas and Qin, Jian (2011): A content analysis of institutional data policies. In: JCDL11 Proceedings of the 2010 Joint International Conference on Digital Libraries 2011. pp. 409-410.

The newly issued requirement for a data management plan in proposals submitted to the U.S. National Science Foundation and other federal funding agencies prompted many institutions to develop their own policies to conform to this new requirement as well as to more effectively manage, share, publish, and provide access to research data. While the need for guidelines or a framework in developing such data policies is imminent, research is lacking in this area. The study reported here addresses this need by using a content analysis of 58 policy documents from 20 institutions. Our preliminary findings reveal an uneven distribution of data policies among the institutions and disciplines included in this study. We are currently analyzing our results.

© All rights reserved Bohmier et al. and/or their publisher

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Qin, Jian and Solinger, Carrie (2011): Institutional policies on science research data: a pilot analysis. In: Proceedings of the 2011 iConference 2011. pp. 761-762.

Institutions are increasingly feeling the pressure to develop strategies and policies to address these issues in science data management. Policies for data management, archiving, sharing, publishing, and use have sprouted on institutional and research centers' websites. The purpose of our pilot analysis was to collect policy examples for content analysis so that we have a better understanding of what types of policies exist and what issues they address. The poster will present an analysis of institutional policies on science research data management, archiving, sharing and publishing, and use.

© All rights reserved Qin and Solinger and/or ACM Press

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Qin, Jian and Hernndez, Naybell (2006): Building interoperable vocabulary and structures for learning objects. In JASIST - Journal of the American Society for Information Science and Technology, 57 (2) pp. 280-292.

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Hodge, Gail, Hill, Linda, Zeng, Marcia Lei, Qin, Jian and Tudhope, Douglas (2005): Next generation knowledge organization systems: integration challenges and strategies. In: JCDL05: Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries 2005. p. 430.

This year's Networked Knowledge Organization Systems (NKOS) workshop built on seven years of workshops in the U.S. and Europe on issues regarding enabling networked knowledge organization systems (KOS), such as classification systems, thesauri, gazetteers, taxonomies, and ontologies, to support the description, retrieval, and use of diverse information resources. Now, many efforts are underway to research the issues and implement solutions to the challenges of networking and integrating KOS across somewhat isolated domains: indexing services and thesaurus builders; computer scientists and systems integrators; ontologists; taxonomists; and others. In many cases, requirements to solve these integration issues have become mission critical; the need to support computational, programmatic integration to handle masses of data from independent sources is pushing the research and development agenda. The need to move forward to meet these challenges while at the same time applying the best practices and "wisdom" developed through years of practical experience is acute. The JCDL-NKOS workshop for 2005 brought together researchers and implementers from diverse international communities who are developing new models, conducting research, and implementing practical solutions for networking KOS and integrating the associated information and data resources.

© All rights reserved Hodge et al. and/or ACM Press

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Qin, Jian and Hernndez, Naybell (2004): Ontological representation of learning objects: building interoperable vocabulary and structures. In: Proceedings of the 2004 International Conference on the World Wide Web 2004. pp. 348-349.

The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic infrastructure that will explicitly declare the semantics and forms of concepts used in labeling learning objects. This paper reports the preliminary result from a learning object ontology construction project, which includes an in-depth study of 14 learning objects and over 500 components in these learning objects. An analysis of the types of components and terms used in these objects reveals that most terms fell into the form and subject categories few pedagogical terms were used. Drawing findings from literature and case study, the authors use a matrix to show relationships in learning objects and relevant knowledge and technologies. Strategies and methods in ontology development and implementation are also discussed.

© All rights reserved Qin and Hernndez and/or ACM Press

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Qin, Jian (2000): Semantic similarities between a keyword database and a controlled vocabulary database: An investigation in the antibiotic resistance literature. In JASIST - Journal of the American Society for Information Science and Technology, 51 (2) pp. 166-180.

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Qin, Jian (2000): Letter to the Editor (Reply): Incremental benefit of human indexing. In JASIST - Journal of the American Society for Information Science and Technology, 51 (10) p. 968.

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Qin, Jian, Lancaster, F. W. and Allen, Bryce (1997): Types and Levels of Collaboration in Interdisciplinary Research in the Sciences. In JASIST - Journal of the American Society for Information Science and Technology, 48 (10) pp. 893-916.

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