Research data infrastructures form the cornerstone in both cyber and physical spaces,driving the progression of the data-intensive scientific research paradigm.This opinion paper presents an overview of global researc...Research data infrastructures form the cornerstone in both cyber and physical spaces,driving the progression of the data-intensive scientific research paradigm.This opinion paper presents an overview of global research data infrastructure,drawing insights from national roadmaps and strategic documents related to research data infrastructure.It emphasizes the pivotal role of research data infrastructures by delineating four new missions aimed at positioning them at the core of the current scientific research and communication ecosystem.The four new missions of research data infrastructures are:(1)as a pioneer,to transcend the disciplinary border and address complex,cutting-edge scientific and social challenges with problem-and data-oriented insights;(2)as an architect,to establish a digital,intelligent,flexible research and knowledge services environment;(3)as a platform,to foster the high-end academic communication;(4)as a coordinator,to balance scientific openness with ethics needs.展开更多
The research value and market potentials of "big data" in real estate industry are well acknowledged with the development of technologies. But research in this area is far away from systematic and thorough c...The research value and market potentials of "big data" in real estate industry are well acknowledged with the development of technologies. But research in this area is far away from systematic and thorough context. Aiming at this issue, we systematically examined the research outcomes related to real estate big data. It gives a comment to current research status and proposes the future directions in this area from the four aspects, i.e. the hierarchical structuring of real estate "Big Data", integrated implementation, exchange and pricing systems, and the market operation system, in order to assist the researchers for their future works.展开更多
This article has explored the relationships between data and theory in qualitative research from an enthnographic perspective. It has also explicated the discovery of theory from data systematically obtained from enth...This article has explored the relationships between data and theory in qualitative research from an enthnographic perspective. It has also explicated the discovery of theory from data systematically obtained from enthnographic research, the Participant Observation approach based on inductive logic, that is, grounded theory.展开更多
Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the...Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the definition, classification, and establishment of databases. Afterward, the workflow for establishing databases, inputting data, verifying data, and managing databases is presented. Meanwhile, by discussing the application of databases in clinical research, we illuminate the important role of databases in clinical research practice. Lastly, we introduce the reanalysis of randomized controlled trials(RCTs) and cloud computing techniques, showing the most recent advancements of databases in clinical research.展开更多
Unlike consumers in the mall or supermarkets, online consumers are “intangible” and their purchasing behaviors are affected by multiple factors, including product pricing, promotion and discounts, quality of product...Unlike consumers in the mall or supermarkets, online consumers are “intangible” and their purchasing behaviors are affected by multiple factors, including product pricing, promotion and discounts, quality of products and brands, and the platforms where they search for the product. In this research, I study the relationship between product sales and consumer characteristics, the relationship between product sales and product qualities, demand curve analysis, and the search friction effect for different platforms. I utilized data from a randomized field experiment involving more than 400 thousand customers and 30 thousand products on JD.com, one of the world’s largest online retailing platforms. There are two focuses of the research: 1) how different consumer characteristics affect sales;2) how to set price and possible search friction for different channels. I find that JD plus membership, education level and age have no significant relationship with product sales, and higher user level leads to higher sales. Sales are highly skewed, with very high numbers of products sold making up only a small percentage of the total. Consumers living in more industrialized cities have more purchasing power. Women and singles lead to higher spending. Also, the better the product performs, the more it sells. Moderate pricing can increase product sales. Based on the research results of search volume in different channels, it is suggested that it is better to focus on app sales. By knowing the results, producers can adjust target consumers for different products and do target advertisements in order to maximize the sales. Also, an appropriate price for a product is also crucial to a seller. By the way, knowing the search friction of different channels can help producers to rearrange platform layout so that search friction can be reduced and more potential deals may be made.展开更多
背景:接受全膝关节置换患者人数在全球范围内逐年增加,全膝关节置换后的疼痛管理是一个重要的方面,因为有效的疼痛控制可以促进患者早期活动,减少并发症,提高患者满意度,并加快康复进程。目的:构建全膝关节置换后疼痛的可视化图谱,了解...背景:接受全膝关节置换患者人数在全球范围内逐年增加,全膝关节置换后的疼痛管理是一个重要的方面,因为有效的疼痛控制可以促进患者早期活动,减少并发症,提高患者满意度,并加快康复进程。目的:构建全膝关节置换后疼痛的可视化图谱,了解该领域的国际研究现状及趋势,为日后研究提供参考依据。方法:在中国知网、万方数据库、Web of Science核心数据库检索从2000年1月至2023年12月有关全膝关节置换患者术后疼痛的研究文献。使用CiteSpace(6.2.3版本)可视化软件分析文献年发文量、作者、机构、国家、关键词、参考文献等内容。并使用R语言(4.4.1版本)软件建立数据库进行折线图、条形图的绘制。结果与结论:①共纳入3796篇文献,包括中文文献3509篇、英文文献287篇。②在英文数据库中,美国为发文量最高的国家,哈佛大学则是发文量最多的机构;中文数据库中,广州中医药大学发文量居首。③通过关键词聚类分析,中文文献近5年突现关键词包括“生活质量”“恐动症”和“针刺”;英文文献的突现关键词则为“满意度”和“心理因素”。共现图和聚类图分析显示,机构-作者-文献呈现内部集体联系紧密,外部合作松散。④由于可视化分析方法排除了部分影响力较低的文献,研究结果可能存在一定的偏倚。⑤研究热点方面,国内外存在差异:国内研究侧重于镇痛手段的有效性论证和方式探索,而国外研究则更关注疼痛机制的细分及镇痛药物的改良与替代。未来研究的发展趋势预计将集中在手术后疼痛的中医药治疗、多模式镇痛联合应用以及疼痛分型机制的探究和预防。展开更多
Purpose： The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research.This paper takes steps toward advanc...Purpose： The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research.This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science. Design/methodology/approach： This paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science. Findings： The ＂utilitarian nature＂ and ＂historical and traditional views＂ of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part ofa metadata linguafranca to help frame research in the data science research space. Research limitations： There are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore. Practical implications： The immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem. Originality/value： Although metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.展开更多
基金the National Social Science Fund of China(Grant No.22CTQ031)Special Project on Library Capacity Building of the Chinese Academy of Sciences(Grant No.E2290431).
文摘Research data infrastructures form the cornerstone in both cyber and physical spaces,driving the progression of the data-intensive scientific research paradigm.This opinion paper presents an overview of global research data infrastructure,drawing insights from national roadmaps and strategic documents related to research data infrastructure.It emphasizes the pivotal role of research data infrastructures by delineating four new missions aimed at positioning them at the core of the current scientific research and communication ecosystem.The four new missions of research data infrastructures are:(1)as a pioneer,to transcend the disciplinary border and address complex,cutting-edge scientific and social challenges with problem-and data-oriented insights;(2)as an architect,to establish a digital,intelligent,flexible research and knowledge services environment;(3)as a platform,to foster the high-end academic communication;(4)as a coordinator,to balance scientific openness with ethics needs.
基金Funded partly by the Post-graduate Students’ ducation and Teaching Reform Program of Chongqing Education Committee(No.Yjg123089)
文摘The research value and market potentials of "big data" in real estate industry are well acknowledged with the development of technologies. But research in this area is far away from systematic and thorough context. Aiming at this issue, we systematically examined the research outcomes related to real estate big data. It gives a comment to current research status and proposes the future directions in this area from the four aspects, i.e. the hierarchical structuring of real estate "Big Data", integrated implementation, exchange and pricing systems, and the market operation system, in order to assist the researchers for their future works.
文摘This article has explored the relationships between data and theory in qualitative research from an enthnographic perspective. It has also explicated the discovery of theory from data systematically obtained from enthnographic research, the Participant Observation approach based on inductive logic, that is, grounded theory.
基金supported by Fundamental Research Funds of State Key Laboratory of Ophthalmology (Grant No.2015QN01)Young Teacher Top-Support project of Sun Yat-sen University(Grant No.2015ykzd11)+4 种基金the Cultivation Projects for Young Teaching Staff of Sun Yat-sen University(Grant No.12ykpy61) from the Fundamental Research Funds for the Central Universitiesthe Pearl River Science and Technology New Star(Grant No.2014J2200060)Project of Guangzhou City,the Guangdong Provincial Natural Science Foundation for Distinguished Young Scholars of China(Grant No. 2014A030306030)Youth Science and Technology Innovation Talents Funds in Special Support Plan for High Level Talents in Guangdong Province(Grant No. 2014TQ01R573)Key Research Plan for National Natural Science Foundation of China in Cultivation Project (No.91546101)
文摘Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the definition, classification, and establishment of databases. Afterward, the workflow for establishing databases, inputting data, verifying data, and managing databases is presented. Meanwhile, by discussing the application of databases in clinical research, we illuminate the important role of databases in clinical research practice. Lastly, we introduce the reanalysis of randomized controlled trials(RCTs) and cloud computing techniques, showing the most recent advancements of databases in clinical research.
文摘Unlike consumers in the mall or supermarkets, online consumers are “intangible” and their purchasing behaviors are affected by multiple factors, including product pricing, promotion and discounts, quality of products and brands, and the platforms where they search for the product. In this research, I study the relationship between product sales and consumer characteristics, the relationship between product sales and product qualities, demand curve analysis, and the search friction effect for different platforms. I utilized data from a randomized field experiment involving more than 400 thousand customers and 30 thousand products on JD.com, one of the world’s largest online retailing platforms. There are two focuses of the research: 1) how different consumer characteristics affect sales;2) how to set price and possible search friction for different channels. I find that JD plus membership, education level and age have no significant relationship with product sales, and higher user level leads to higher sales. Sales are highly skewed, with very high numbers of products sold making up only a small percentage of the total. Consumers living in more industrialized cities have more purchasing power. Women and singles lead to higher spending. Also, the better the product performs, the more it sells. Moderate pricing can increase product sales. Based on the research results of search volume in different channels, it is suggested that it is better to focus on app sales. By knowing the results, producers can adjust target consumers for different products and do target advertisements in order to maximize the sales. Also, an appropriate price for a product is also crucial to a seller. By the way, knowing the search friction of different channels can help producers to rearrange platform layout so that search friction can be reduced and more potential deals may be made.
文摘背景:接受全膝关节置换患者人数在全球范围内逐年增加,全膝关节置换后的疼痛管理是一个重要的方面,因为有效的疼痛控制可以促进患者早期活动,减少并发症,提高患者满意度,并加快康复进程。目的:构建全膝关节置换后疼痛的可视化图谱,了解该领域的国际研究现状及趋势,为日后研究提供参考依据。方法:在中国知网、万方数据库、Web of Science核心数据库检索从2000年1月至2023年12月有关全膝关节置换患者术后疼痛的研究文献。使用CiteSpace(6.2.3版本)可视化软件分析文献年发文量、作者、机构、国家、关键词、参考文献等内容。并使用R语言(4.4.1版本)软件建立数据库进行折线图、条形图的绘制。结果与结论:①共纳入3796篇文献,包括中文文献3509篇、英文文献287篇。②在英文数据库中,美国为发文量最高的国家,哈佛大学则是发文量最多的机构;中文数据库中,广州中医药大学发文量居首。③通过关键词聚类分析,中文文献近5年突现关键词包括“生活质量”“恐动症”和“针刺”;英文文献的突现关键词则为“满意度”和“心理因素”。共现图和聚类图分析显示,机构-作者-文献呈现内部集体联系紧密,外部合作松散。④由于可视化分析方法排除了部分影响力较低的文献,研究结果可能存在一定的偏倚。⑤研究热点方面,国内外存在差异:国内研究侧重于镇痛手段的有效性论证和方式探索,而国外研究则更关注疼痛机制的细分及镇痛药物的改良与替代。未来研究的发展趋势预计将集中在手术后疼痛的中医药治疗、多模式镇痛联合应用以及疼痛分型机制的探究和预防。
文摘Purpose： The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research.This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science. Design/methodology/approach： This paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science. Findings： The ＂utilitarian nature＂ and ＂historical and traditional views＂ of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part ofa metadata linguafranca to help frame research in the data science research space. Research limitations： There are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore. Practical implications： The immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem. Originality/value： Although metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.
