目录 | DIM导览（第五卷第二期）

数据与信息管理

ISSN 2543-9251

Volume 5, Issue 2

尊敬的读者，Data and Information Management（DIM）第五卷第二期网刊已经发布，请登录以下网址免费浏览：

https://content.sciendo.com/view/journals/dim/dim-overview.xml

建立一个可持续的文化遗产和数字学术保护基础设施

Research Article

Towards a Sustainable Infrastructure for the Preservation of Cultural Heritage and Digital Scholarship

Authors: Peter X. Zhou

Abstract: The digital lifecycle encompasses definitive processes for data curation and management, long-term preservation, and dissemination, all of which are key building blocks in the development of a digital library. Maintaining a complete digital lifecycle workflow is vital to the preservation of digital cultural heritage and digital scholarship. This paper considers digital lifecycle programs for digital libraries, noting similarities between the digital and print lifecycles and referring to the example of the Digital Dunhuang project. Only through a systematic and sustainable digital lifecycle program can platforms for cross-disciplinary research and repositories for large aggregations of digital content be built. Moreover, advancing digital lifecycle development will ensure that knowledge and scholarship created in the digital age will have the same chances for survival that print-and-paper scholarship has had for centuries. It will also ensure that digital library users will have effective access to aggregated content across different domains and platforms.

Keywords: data management systems; arts and humanities; data storage and integration; document integration and text processing; digital lifecycle; digital preservation; digital asset management; Digital Dunhuang; preservation of world heritage

大数据环境下的混合智能：智能服务的概念、架构与应用

Research Article

Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Authors: Zhenghao Liu and Xi Zeng

Abstract: Based on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break through the bottleneck. The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and “cloud intelligent brain” is making it possible for the human–computer symbiosis driven by hybrid intelligence. The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of human–machine hybrid intelligence, and provides a new landing scheme for intelligent services based on complex scenes in the big data environment.

Keywords: human–machine hybrid Intelligence; human–machine interaction; artificial intelligence; knowledge fusion; intelligence service

学术社交网站在学术交流中的使用:范围审查

Research Article

The Use of Academic Social Networking Sites in Scholarly Communication: Scoping Review

Authors: Milkyas Hailu  and Jianhua Wu

Abstract: This research provides a systematic analysis of 115 previous literatures on the use of academic social networking sites (ASNs) in scholarly communication. Previous research on the subject has mainly taken a disciplinary and user perspective. This research conceptualizes the use of ASNs in scholarly communication in the space between social interactions and the technologies themselves. Keyword analysis and scoping review approaches have been used to analyze the comprehensive literature in the field. The study found a geographic variation in what motivates academics to use ASNs. Scholar discovery and sharing are the primary driving factors identified in the literature. Four main themes within the research literature are proposed: motivation and uses, impact assessment, features and services, and scholarly big data. The study found that there has been an increase in scholarly big data research in recent years. The paper also discusses the key findings and concepts stated in each theme. This gives academics a better understanding of what ASNs can do and their weaknesses, and identifies gaps in the literature that are worth addressing in future investigations. We suggest that future studies may also extend the existing theoretical framework and epistemological approaches to better predict and clarify the socio-technical dimensions of ASNs use in scholarly communication. In addition, this study has implications for academic and research institutions, libraries and information literacy programs, and future studies on the topic.

Keywords: scholarly communication; academic social networking sites; impact evaluation; openness; scholarly big data

利用开放数据监测大都市地区的状况：Metropolitan Area of Turin 案例

Research Article

Using Open Data to Monitor the Status of a Metropolitan Area: The Case of the Metropolitan Area of Turin

Authors: Filippo Candela and Paolo Mulassano

Abstract: The paper presents and discusses the method adopted by Compagnia di San Paolo, one of the largest European philanthropic institutions, to monitor the advancement, despite the COVID-19 situation, in providing specific input to the decision-making process for dedicated projects. An innovative approach based on the use of daily open data was adopted to monitor the metropolitan area with a multidimensional perspective. Several open data indicators related to the economy, society, culture, environment, and climate were identified and incorporated into the decision support system dashboard. Indicators are presented and discussed to highlight how open data could be integrated into the foundation's strategic approach and potentially replicated on a large scale by local institutions. Moreover, starting from the lessons learned from this experience, the paper analyzes the opportunities and critical issues surrounding the use of open data, not only to improve the quality of life during the COVID-19 epidemic but also for the effective regulation of society, the participation of citizens, and their well-being.

Keywords: open data; monitoring; COVID-19; Turin; metropolitan area

Data and Information Management(DIM)是由武汉大学信息管理学院、武汉大学信息资源研究中心主办，国际知名学术出版商德古意特(De Gruyter)出版的开放获取（Open Access)英文期刊，旨在促进数据驱动下跨领域的信息管理研究，DIM免费向读者提供全文，并为作者提供全方位的增值服务和多元化的激励政策。除了享受高水准的同行评议、高品质的编辑加工、高集成的出版平台和高效率的网络传播，读者亦可免支付出版费。

在线投稿系统：

http://www.editorialmanager.com/dim/default.asp    

制版编辑：孙冉

往期回顾

DIM期刊编辑部https://content.sciendo.com/Tel: [phone]