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数据与信息管理(英文)(Data and Information Management)(国际刊号)(不收版面费审稿费) (官网投稿)

简介
《数据与信息管理(英文)》(Data and Information Management)(季刊),创刊于2017年,是武汉大学主办、武汉大学信息管理学院、武汉大学信息资源研究中心承办、国际知名学术出版商Elsevier出版的英文学术期刊。聚焦图书情报学、信息管理领域中的数据分析与应用,旨在推动技术、过程、工具以及解决方案的创新与发展。期刊的跨学科研究包括商务信息、学术信息、政府及公共信息管理、知识发现与...[显示全部]
本刊为:目次收录(超星), 目次收录(知网),官网信息:不收版面费,外文期刊,
征稿信息

万维提示:

1、该刊只有国际刊号。

2、投稿方式:在线投稿。

3、官网网址:

https://www.journals.elsevier.com/data-and-information-management

https://www.sciencedirect.com/journal/data-and-information-management

4、投稿系统:http://www.editorialmanager.com/dim

5、主办单位相关网址:

http://sim.whu.edu.cn/ky/xsqk.htm

http://ssroff.whu.edu.cn/info/1165/2485.htm

6、期刊刊期:季刊,逢季末月出版。

7、对作者不收取任何费用。

202286日星期六

                          

 

《数据与信息管理(英文)》

Data and Information Management)期刊简介

【武汉大学人文社会科学研究院官网信息】

 

Data and Information Management (《数据与信息管理》)是武汉大学主办、武汉大学信息管理学院、武汉大学信息资源研究中心承办、国际知名学术出版商Elsevier出版的英文学术期刊,20179月正式创刊。

《数据与信息管理》聚焦图书情报学、信息管理领域中的数据分析与应用,旨在推动技术、过程、工具以及解决方案的创新与发展。期刊的跨学科研究包括商务信息、学术信息、政府及公共信息管理、知识发现与组织、语义分析、数字人文等等。期刊为学者和研究人员提供一个能够更快更好的共享与传播最新研究成果的平台。与此同时,期刊将数据驱动的信息行为和交互作为特色研究方向。

目前,期刊已被国际知名数据库Scopus正式收录,并被《FMS管理科学高质量期刊推荐列表》列为高质量国际期刊。《数据与信息管理》ISSN号为: 2543-9251,每年出版四期,采取免费开放获取的出版模式,对作者不收取任何费用,并为作者提供全方位的增值服务和多元化的激励政策。

联系人:丁念

联系电话:027-68752465

Emaildim@whu.edu.cn

 

投稿指南Guide for Authors

【官网信息】

 

Aims and scope

Data and Information Management publishes original research that focuses on data analytics and application in the fields of library and information science, and information management. It aims to improve the innovation and development of technology, process and solution.

DIM is an interdisciplinary peer-reviewed journal concerning business information, academic information, government and public information management, knowledge discovery and organization, semantic analysis, digital humanities and so on. This journal serves the interests of scholars and researchers in sharing and disseminating their research by providing an effective forum for the timely dissemination. It is featured in information behavior and interaction.

Specific topic areas may include but not limited to:

Innovative theories and technologies in data-driven information analytics, including knowledge discovery and organization, cloud computing, machine learning, information visualization, and human-computer interaction

Information organization and retrieval, and information search behaviors in data intensive environments such as social media

Open data, information sharing, and information services

Novel methods, algorithms, and processes of conducting data/text/Web mining

Scalable semantic annotation and reasoning across distributed data repositories

Digital humanities, and academic/scientific data analytics and evaluation

Data curation, information privacy, and information security systems and networks

Novel and impactful applications or case studies in big data and analytics for better managerial decision making in public and private sectors

Submission checklist

You can use this list to carry out a final check of your submission before you send it to the journal for review. Please check the relevant section in this Guide for Authors for more details.

Ensure that the following items are present:

One author has been designated as the corresponding author with contact details:

E-mail address

Full postal address

All necessary files have been uploaded:

Manuscript:

Include keywords

All figures (include relevant captions)

All tables (including titles, description, footnotes)

Ensure all figure and table citations in the text match the files provided

Indicate clearly if color should be used for any figures in print

Graphical Abstracts / Highlights files (where applicable)

Supplemental files (where applicable)

Further considerations

Manuscript has been 'spell checked' and 'grammar checked'

All references mentioned in the Reference List are cited in the text, and vice versa

Permission has been obtained for use of copyrighted material from other sources (including the Internet)

A competing interests statement is provided, even if the authors have no competing interests to declare

Journal policies detailed in this guide have been reviewed

Referee suggestions and contact details provided, based on journal requirements

……

更多详情:

https://www.elsevier.com/journals/data-and-information-management/2543-9251/guide-for-authors


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