研究数据使用统计新标准及其应用案例研究     

林伟明  叶兰 《图书情报工作》2019,63(16):32-42

[目的/意义]介绍Make Data Count与COUNTER联合推出的《研究数据使用统计实施规范》，为数据级别计量提供新指标与新视角。[方法/过程]通过对标准文本的分析，介绍该规范的提出背景、目标、范围、相关概念及核心内容，通过案例剖析Dash、DataONE、Zenodo及其他7个数据存储库对《规范》的应用情况。[结果/结论]研究数据的使用统计具有其独特之处，《规范》的推出可对数据引用及数据替代计量形成补充进而描述完整的科研学术影响力。目前遵循该规范的数据存储库还不多，为推动数据使用计量的应用，需要标准组织、科研人员、机构库及数据存储库、出版商、科研机构及资助机构、图书馆等不同利益相关者在数据产生、管理、传播与利用等环节的相互合作。  相似文献   

拥抱大数据:大数据时代中国高端体育智库建设研究     

张锋  阎智力 《武汉体育学院学报》2019,53(8):10-16

受惠于大数据技术的迅猛发展，体育智库的高端化建设不仅迎来新的契机，也在客观上形成了智库研究的学术新机遇，带来了智库研究范式的革命性转型。通过对大数据和高端体育智库内涵的解读，透析大数据对高端体育智库治理决策科学化的推动、多元主体合作的加强和理性辨析能力的提升，提出以大数据思维引领高端体育智库发展方向、以大数据平台保障高端体育智库稳定运行，以大数据技术提升高端体育智库治理效能，以大数据人才推动高端体育智库可持续发展的建设策略。  相似文献   

Analytical attractions and the techno-continuum: Conceptualising data obsessions and consequences in elite sport     

Geoffery Z. Kohe  Laura G. Purdy 《Sport, Education and Society》2019,24(7):742-755

The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a ‘thirst’ for ‘more data’ as an unproblematic ‘truth’. Of significance is not merely the use of technology for the production of data-for-data's sake, or the utility of data for a greater cause (e.g. the good of the team), but the quest for personalised data for individual athletes to be analysed, and reflected upon ad nauseam. Furthering scholarship on disciplining bodies, we argue that increased technological consumption, and the related excessive quantification of athletes’ bodies via data production, adds further insecurity into performance sports work. Finally, attention is given to the cultural step-change new techno-dispositions may now present.  相似文献   

Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton     

Olivier Dieu  Christophe Schnitzler  Clément Llena  François Potdevin 《Journal of sports sciences》2020,38(17):1943-1952

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.  相似文献   

The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance     

《International Journal of Information Management》2020

Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm.  相似文献   

From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets     

《International Journal of Information Management》2021

In recent years, strategies focused on data-driven innovation (DDI) have led to the emergence and development of new products and business models in the digital market. However, these advances have given rise to the development of sophisticated strategies for data management, predicting user behavior, or analyzing their actions. Accordingly, the large-scale analysis of user-generated data (UGD) has led to the emergence of user privacy concerns about how companies manage user data. Although there are some studies on data security, privacy protection, and data-driven strategies, a systematic review on the subject that would focus on both UGD and DDI as main concepts is lacking. Therefore, the present study aims to provide a comprehensive understanding of the main challenges related to user privacy that affect DDI. The methodology used in the present study unfolds in the following three phases; (i) a systematic literature review (SLR); (ii) in-depth interviews framed in the perspectives of UGD and DDI on user privacy concerns, and finally, (iii) topic-modeling using a Latent Dirichlet allocation (LDA) model to extract insights related to the object of study. Based on the results, we identify 14 topics related to the study of DDI and UGD strategies. In addition, 14 future research questions and 7 research propositions are presented that should be consider for the study of UGD, DDI and user privacy in digital markets. The paper concludes with an important discussion regarding the role of user privacy in DDI in digital markets.  相似文献   

关于烟台经济技术开发区城区中学体育设施开放现状的调查研究     

于涛  杜成芳 《当代体育科技》2020,(12):249-250

近年来,随着人们生活水平的不断提高,追求体育健身的需求越来越大,但目前体育活动场地严重不足,成为了我国群众体育事业的发展的主要阻碍,而我国学校体育场地设施占全国体育设施约2/3。开放学校体育设施有利于缓解体育设施不足的状况,满足人民群众的需求;有利于构建完善的全民健身服务体系,促进全民健身可持续发展;有利于提高体育设施利用率,发挥学校体育设施的社会效益。根据研究烟台经济技术开发区城区中学体育设施开放过程中存在的主要问题,为促进中小学体育设施持续开放提出参考对策。  相似文献   

Understanding the relative contribution of technical and tactical performance to match outcome in Australian Football     

Christopher M Young  Wei Luo  Paul B Gastin  Daniel B Dwyer 《Journal of sports sciences》2020,38(6):676-681

ABSTRACT

The aim of this study was to assess if tactical and technical performance indicators (PIs) could be used in combination to model match outcomes in Australian Football (AF). A database of 101 technical PIs and 14 tactical PIs from every match in the 2009–2016 Australian Football League (AFL) seasons was merged. Two outcome measures Win-loss and Score margin were used as dependent variables. The top 45 ranked technical and tactical PIs from a feature selection process were used to model match outcome using decision tree and Generalised Linear Models (GLMs). Of the top 45 selected features, this included seven tactical PIs. The Win-loss-based Decision tree model achieved a classification accuracy of 89.0% and GLM 93.2%. A Score margin-based GLM achieved a root mean squared error (RMSE) of 6.9 points. A combined approach to the classification of match outcomes provided no improvement in model accuracy compared with previous literature. However, this study has established the relative importance of technical and tactical measures of performance in relation to successful team performance in AF.  相似文献   

基于数据挖掘技术的图书馆信息服务研究及系统模型设计     

李璐璐 《大学图书情报学刊》2008,(4):46-48

数据挖掘技术是近年来出现的一种全新的信息技术,文章介绍了数据挖掘技术的主要任务,探讨了数据挖掘技术在图书馆信息服务中的应用,并提出基于数据挖掘技术的图书馆信息服务系统模型设计。  相似文献   

基于数据挖掘的图书数据预处理   总被引：2，自引：0，他引：2  

鲍静  范生万 《大学图书情报学刊》2008,26(2):31-33

为了更好地从数据类型复杂、冗余空缺值多的海量图书数据中挖掘出切实有用的信息,就必须对数据源进行预处理。基于此目的,文章详细介绍了图书数据的预处理方法,并通过安徽省图书馆图书数据实例验证其有效性和可行性,从而为读者服务提供可靠保障。  相似文献