Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] This paper systematically reviews the research results on library crowdsourcing in China, and summarizes the current research situation insufficient. Meanwhile, by putting forward the further research direction, it provides certain reference for relevant research in the future. [Method/ process] Selecting the library crowdsourcing research papers in China as the object, it summarized current research topic through the detailed analysis of these objects’ specific content. [Result/conclusion] This paper reveals that: domestic research in this field is mainly focused on library service works crowdsourcing, information resource construction crowdsourcing, librarian crowdsourcing, practical experience introduction of crowdsourcing in foreign libraries and calm reflection on library crowdsourcing and etc. However, most of these studies are staying in the theoretical stage, and lacking of research on empirical and evaluation of implementation effect as well as comparative research and introduction of failed cases. It is necessary to combine with the above shortcomings to conduct deep discussion and research later on, so as to broaden the research perspective and enrich the research contents.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper aims at reviewing and summarizing the historical course of information science, it is of great significance to understand the development process of information science in China in the past 20 years, and can provide reference and guidance for further research.[Method/process] This article took the papers published in Advances in Information Science(Volume 1-11) as research object, and summarized the topics of these papers and the characteristics of each topic by the method of contents analysis. Then, based on the above analysis, it forecasted three development trends of information science in China in the future, including theoretical research, paradigm method and application practice.[Result/conclusion] It is showed that the main topics of those papers in Advances in Information Science are basic theories of information science, information resources management, emerging information technology and so on, each topic presents different characteristics. In the future, intelligent information science will integrate more disciplines knowledge of other subjects, serve the scientific discovery research, national economic construction and national defence security, and provide intellectual support for the construction of new national think tanks.
Subjects: Management Science >> Science ology and Management submitted time 2023-07-09 Cooperative journals: 《中国科学院院刊》
Abstract： Open science is thriving and driving a global paradigm shift in scientific research. Open science governance is designated to gradually increase the transparency and global participation in the process of scientific and technological progress, ensure low-cost openness around the world, accelerate the global dissemination and sharing of results, and improve the scientific and humanistic literacy of the people. With the development trend of open science becoming more and more powerful, a series of challenges emerge gradually. By analyzing and studying the open science governance framework model, it helps to further sort out the governance logic, clarify the governance subjects and governance mechanisms, which will effectively promote the construction of open science governance system, accelerate the development of science and technology, help China become one of the leaders of the global knowledge community in 2040–2050, and promote the realization of the strategic goal of becoming a world power in science and technology.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper discusses the related research, implementation and influencing factors of the Scientific Data Management Rule since its promulgation, in order to provide reference for the further implementation of the Scientific Data Management Rule.[Method/process] Firstly, this paper systematically sorted out the relevant research on the Scientific Data Management Rule. Secondly, investigated the implementation of the Scientific Data Management Rule from the perspective of scientific data stakeholders. Thirdly, the positive and negative influencing factors for implementing the Scientific Data Management Rule were analyzed from various aspects. Finally, the paper put forward some strategies to promote the implementation of the Scientific Data Management Rule.[Result/conclusion] At present, the implementation of the Scientific Data Management Rule is mainly carried out by various government departments at all levels, but the overall implementation is not satisfactory. The positive factors of the implementation of the Scientific Data Management Rule are reflected in the following aspects:the value of data is highlighted, the data facilities are improved, the state attaches great importance to it, the government promotes obviously, and the related research is rich. The negative factors are reflected in the weak awareness of scientific data stakeholders, management of relevant institutions is out of order, implementation planning is ambiguous, lack of supervision and incentive mechanisms, and the practice research is insufficient. The implementation of the Scientific Data Management Rule can be promoted by improving existing research suggestions, strengthening the construction of mechanism and system, and improving the intensity of stakeholder cooperation.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective] This study aims to effectively storage, manage and reuse scientific data with the help of a specialized data repository management system, the TeamDR, for the research teams. [Context] TeamDR is a Web tool helping scientific research team members organize, storage, manage and share data. It was developed by Java and offered cloud-based and standalone services. [Methods] We first designed a dynamic metadata template to organize and manage scientific research data. MongoDB was then adopted to improve data storage capacity and query performance. [Results] TeamDR stores and manages the scientific research data effectively with the support of, dynamic metadata template, categorized sharing control, and full-text search of metadata. Users’ feedbacks show that TeamDR meets the demands of scientific data storage and management. [Conclusions] TeamDR effectively addresses the issues of scientific data storage and management, data sharing and collaboration, data discovery and linking. However, this system’s usability, completeness and extensibility could be further improved.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective] Propose a set of detailed structure specifications of scientific data management plan and in accordance with a data curation model constructed from the operational perspective. [Methods] This paper carries on the research and the statistics on the scientific data management plan specification of the main research and management agencies in the world, and makes supplement combining with the requirement and characteristic of current scientific research data management. [Results] This paper forms the detailed structure specification of data management plan with 8 major basic elements and 39 sub-elements and constructs a data curation model taking data management plan as the core driver. [Conclusions] The detailed structure specification of data management plan may regulate and guide the activities of scientific data management completely and accurately, it can also be effectively controlled and restricted the data curation process of the whole life cycle of scientific research at the operational level.
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