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Call for Papers: CALA Occasional Paper Series (OPS), 2017 Spring Issue
Occasional Paper Series (OPS) is one of the official publications (ISSN
1941-2037) of the Chinese American Librarians Association (CALA). It is an open
access publication which provides an opportunity for authors to publish
article(s) on a peer-reviewed, official, and professional platform. It is a
professional opportunity for you to publish your essays and will benefit many
fields in library and information science.
We now welcome submissions to the 2017 Spring issue of CALA OPS.
Manuscripts can address any aspects of librarianship. It can be a paper
delivered at a conference related to library and information science; a
bibliography, index, guide, handbook, research manual, or directory; a report
of a survey or study of interest to librarians of all types of libraries; a
compilation of existing documents such as library policies or procedures; or a
full-length research paper.
Manuscripts are usually between 3000-5000 words (English or Chinese) in
length. Longer and shorter articles can also be accepted if considered to be
relevant and of high quality. All manuscripts must be typed and double-spaced
in 12-point Times New Roman font throughout. References, citations, and general
style of manuscripts should follow the Publications Manual of the American
Psychological Association, 6th edition. For detailed submission guidelines,
please check the CALA website:
http://cala-web.org/publications/ops-editorial-guidelines.
The deadline for submission to the 2017 Spring issue of CALA OPS is Friday,
March 31, 2017. Late submissions will be considered for the following issues.
Please submit your manuscript via the
interface: http://www.cala-web.org/forms/ops-submission. Manuscripts submitted
to CALA OPS should not have been published or be under consideration for
publication elsewhere.
Previously published articles are available at
http://cala-web.org/publications/ops.
Should you have any questions, please contact the CALA OPS editorial board:
Michael Huang (Co-Chair), Stony Brook University,
[email protected]<mailto:[email protected]>
Suzhen Chen (Co-Chair), University of Hawaii at Manoa,
[email protected]<mailto:[email protected]>
Liangyu Fu, University of Michigan,
[email protected]<mailto:[email protected]>
Jennifer (Cong Yan) Zhao, McGill University,
[email protected]<mailto:[email protected]>
Yingqi Tang, Jacksonville State University, [email protected]<mailto:[email protected]>
Minhao Jiang, Wayne State University,
[email protected]<mailto:[email protected]>
Xiaojie Duan, University of Southern Mississippi,
[email protected]<mailto:[email protected]>
Daisy Nip, Drexel University, [email protected]<mailto:[email protected]>
Minhao Jiang
Neural Network Practitioner
MSLIS (Data Analytics SPEC.)
Software Development Librarian
Discovery Services Department
Wayne State University Libraries
[email protected]<mailto:[email protected]>
(313) 577-2102 (phone)
http://library.wayne.edu/
Recipient, 2017 ALA Emerging Leaders Award
