欧盟数据保护官制度研究   总被引：1，自引：0，他引：1  

肖冬梅  成思雯 《图书情报工作》2019,63(2):144-152

[目的/意义]欧盟数据保护新规（GDPR）中的数据保护官（DPO）制度颇受关注。追溯DPO制度演进路径，剖析DPO的设置与具体职责，考察欧盟DPO制度实施与影响，不止关乎中国企业对欧贸易，更是我国相关规则体系构建的重要参考。[方法/过程]通过梳理GDPR中有关DPO的条款及相关过程文本，发现在GDPR规定的3种情形下，数据控制者/处理者应设置数据保护官。DPO的职责包括对数据控制者相关工作人员的告知和建议、监督数据处理的合规性、联络数据主体、同监管机构合作、数据处理活动的记录与归档、培训以及保密等。[结果/结论]设置DPO对于确保数据控制者的合规、减轻监管机构负担影响深远。欧盟DPO制度对中国企业/机构的启示在于：应按GDPR的规定设置DPO，并设计完整的数据保护监督流程；对中国数据保护监督及机制建设的启示包括：明确规定数据控制者应设置数据保护专门岗位和专业人员、对不合规的数据控制者给予相应的责任追究和惩罚、加强数据监管机构的建设。  相似文献   

Score Reporting for Examinees with Incomplete Data on Large‐Scale Educational Assessments     

Sandip Sinharay 《Educational Measurement》2021,40(1):79-91

Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data from three educational tests is used to compare the performances of six approaches for imputation of missing scores. One of the approaches, based on data mining, is the first application of its kind to the problem of imputation of missing data. The approach based on data mining and a multiple imputation approach based on chained equations led to the most accurate imputation of missing scores, and hence to most accurate score reporting. A simple approach based on linear regression performed the next best overall. Several recommendations are made regarding the reporting of scores to examinees with incomplete data.  相似文献   

CloudSim中基于优先级的轮询服务代理算法     

刘君玲 《莆田学院学报》2014,(5):58-60

针对服务代理采用的现有数据中心选择算法存在系统性能低和总体成本高等问题,提出一种基于优先级的轮询服务代理算法。该算法对数据中心的优先级进行定义,并根据数据中心的优先级选择数据中心。通过基于CloudSim仿真器的实验,结果证明该算法比现有数据中心选择算法拥有更好的性能。  相似文献   

科技人力资本视角下杰青科学家资助年龄对资助效果的影响——以杰青基金地球科学项目为例     

田人合  郑军卫  张志强  于洁  杨芳娟 《图书情报工作》2019,63(22):91-105

[目的/意义] 杰青基金实施25年来，资助者年龄呈大龄化趋势发展，深入分析该现象对完成杰青基金的影响，对未来杰青基金管理具有重要意义。[方法/过程] 研究以1994-2018年杰青基金地球科学项目为研究对象，构建科研论文产出效率、创新能力和学术影响力三个评价指标，提出"科技人力资本投入-科研产出"理论模型及假设，采用DID模型克服样本选择性偏误所导致的内生性问题，验证理论假设，实现对杰青基金资助年龄异质性的研究。[结果/结论] 实证结果表明：杰青科学家大龄化趋势日趋严重，存在明显的45岁现象；杰青基金实施20年中，支持"资助年龄越大，资助效应越好"假设的比例较低；三个评价指标维度，资助效应最大且资助年龄在39-42岁之间的年份在杰青基金实施20年中所占比例最大。因此，无论从杰青基金设立宗旨、还是从评估结果来看，都应该避免杰青科学家大龄化趋势，扩大对中低龄优秀青年人才的资助。  相似文献   

Application of online booking data to hotel revenue management     

《International Journal of Information Management》2019

This paper presents an application of online booking data, comprised of big data crawled from a hotel booking website to hotel revenue management. It is important to build a quantitative revenue management method for online hotel booking systems incorporating overbooking strategies, because of increasing numbers of bookings through online booking websites and last-minute cancellations, which cause serious damage to hotel management. We construct a quantitative overbooking model for online booking systems combined with customers’ choice behaviors estimated from the data. Firstly, we present the overbooking model for online booking systems. Secondly, we estimate the choice behaviors of the customers from the online booking data by a discrete choice model. Thirdly, combining the estimated discrete choice model with the theoretical overbooking model, we investigate the expected sales maximization problem where we numerically solve the optimal overbooking level and room charge. Finally, we provide numerical examples of the optimal overbooking strategies and room charges using online booking data of two major luxury hotels in Shinjuku ward, Tokyo. This method, which utilizes online booking data available by crawling from booking websites, helps hotels obtain an optimal room charge and overbooking level maximizing the expected sales.  相似文献   

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   

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