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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2018 Vol.44 207

Whether it is for library or for information service and knowledge service, the transition
of research model is a new challenge. At the same time, a new opportunity is created in this
environment, which is a series of new contents related to the research data management, including:
① To determine each stakeholder in data management, including research funding institutions,
research education institutions, research teams and their members, data centers of key project,
Cross-border Internet operators, international publisher/association or society publishing houses
and libraries, information centers, informationization centers, and so on. ② To determine content
of data management, including data creation, data processing, data analysis, data preservation,
data acquisition and data reuse. ③ To build open and share culture of research data and promote
data conversation among stakeholders. ④ To conduct policy research on scientific data openness,
and conduct data management standards during life cycle of scientific research data. Scientific
data open policy including, but not limited to state administrative level policy, research funding
institution policy, research education institution policy, library and data center policy, publisher
group and academic journal policy, and policy on institutional repository, academic repository
and data repository, data management plan, data management service, data curation policy, and
data level metric. Data management standards during life cycle of scientific research data have
five nodes (data backup, data gathering, data selection, data collection, data sharing), four policy
categories (project data, multi-source data, fixed elements and variable elements), and three simple
implementation steps (data deposit layer, data storage layer, data usage layer). ⑤ To definite
the role and value of data librarian. Data librarians implement data management service with
professional knowledge, Library Science and Information Science knowledge, and promote open
access, open data and open science.

An empirical investigation on operation mechanism for citizen science
projects: An actor-network theory perspective

〇a*
ZHAO Yuxiang〇, LIU Zhouying & SONG Shijie
Citizen science projects aim at promoting scientific research with the help of the public,
effectively combining the scientific diffusion with the scientific research. The actor network theory
emphasizes the principle of generalized symmetry which insists that both non-human actors and
human actors are important. So far, prior work on the operation mechanism of citizen science
projects at home and abroad mainly focuses on the operation process from the perspective of the
human actors and the related tasks, while lacking enough attention to the roles of non-human actors
and the relationship between the actors. The actor network theory can provide an ensemble view to
analyze the operation mechanism of citizen science projects. Therefore, in this paper, we explore

* Correspondence should be addressed to ZHAO Yuxiang, Email: yxzhao@vip.163.com, ORCID: 0000-0001-9281-3030