Page 195 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 42

194 Journal of Library Science in China, Vol. 8, 2016

varieties of new social media. According to PLoS “article-level metrics”(ALM) and altmetrics
indicators system of ImpactStory and Plum Analytics, altmetrics indicators are selected from the
dimensions of used, recommended, saved and social media. 4) Fund and project: learning from
the fund dimension put forward by berResearch, a series of indicators for institution are designed,
including the number of projects, project output, etc. 5) Other dimensions: the paper also builds
the indicators system to reflect a high level of talent team, awards and infrastructure construction
for research institution. In order to make the above indicators system apply in iAuthor and
sustainably support services of research evaluation of institution to satisfy user’s individualized
demand, the paper proposes the future development directions of iAuthor including building
sustainable framework of research evaluation, extending diversified forms of value-added services,
strengthening institutional administrator’s responsibilities.

Data literacy research: Origins, progress and prospects

①a *
MENG Xiangbao , CHANG E & YE Lan
With the development of data-intensive research paradigm and the increasing influences of big
data, data literacy has become one of the essential competencies for researchers and librarians.
Data literacy is also one of the essential elements of research data management service. The
purpose of this paper is to sketch out the general tendencies, gaps and opportunities of data literacy
in order to delineate the findings so far and suggest directions for future research.
The paper performs a thorough search in the following databases: Web of Science, Library
and Information Science Abstracts, EBSCO Academic Search Premier, Emerald Insight, Elsevier
ScienceDirect, ProQuest Digital Dissertations & Theses, Springer LINK, Wiley-Blackwell,Taylor
& Francis SSH, China Academic Journal Network Publishing Database, and in the academic
e-journals which include PLoS One, International Journal of Digital Curation,Journal of eScience
Librarianship. It also browses the academic websites such as Association of Research Libraries,
Association of College & Research Libraries to capture data literacy literatures. In addition,
research projects on data literacy in the HiResearch Global Research Projects database are
browsed. “Data literacy”,“science data literacy”,“research data literacy”,“data information literacy”
and “数据素养” are selected as search terms in subject search. Therefore, the types of selected
literatures consist of articles, academic websites, dissertations, scholarly monographs and research
projects. The retrieval deadline is September 2015. At last,115 related literatures are identified and
selected for analysis.
The main research methods are content analysis and inductive method. It tries to summarize and
analyze the related literature following the logical structure of “origin-progress-prospects”.

* Correspondence should be addressed to MENG Xiangbao, Email: meng_xb@163.com, ORCID: 0000-0002-8635-1973