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

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.     

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

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.     

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

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。     

图书馆书目数据库合并工作浅析

以柳州职业技术学院图书馆多馆合并为实例,分析书目数据库合并工作中出现的问题,并针对实际情况,提出数据分析、清理、归并整合的解决方法。     

微机型无线水位遥测装置设计

设计了一种基于AT89S52单片微机及数传模块C11的实时水位遥测装置.该装置采用投入式压力传感器测量水位,以单片机为控制核心,利用C11无线数传模块实现信息的远距离无线传输,并在数据传输时应用差错控制技术进行CRC校验,进一步提高数据传输的可靠性.通过无线数传模块与单片机的配合,直线传输距离可达3km.无线式的数据传输更适用于那些由于地域等条件限制无法实现有线数据传输的场合.     

Mini-research Experience in Simple Linear Regression

Within the undergraduate mathematics curriculum, the topic of simple least-squares linear regression is often first encountered in multi-variable calculus where the line of best fit is obtained by using partial derivatives to find the slope and y-intercept of the line that minimizes the residual sum of squares. A markedly different approach from linear algebra, which could also be introduced in multi-variable calculus, obtains the regression line by vector projection. The latter viewpoint offers elegant proof of the equation relating the total, explained and unexplained variations. Consideration of data with the same regression line and correlation opens the door for a “mini-research experience” (MRE). A sequel MRE gives rise to an open Research Experience for Undergraduates topic to analyze reflection sequences and a fundamental connection between complex analysis and regression analysis. A few general guidelines and basic goals for MREs are included for those whose main interest is in undergraduate research.     

世界大学排行质疑

大学排行兴起于20世纪80年代.进入21世纪以来,部分媒体和研究机构开始以世界大学为评价对象进行排行.通过以我国上海交通大学的《世界大学学术排名》(ARWU)和《泰晤士报·高等教育副刊》(THES)的"世界大学排行"为研究对象,从排行目的、指标体系构建和数据收集三方面,对其提出各种质疑,并分析各问题存在的原因.     

Seeing Library Data: A Prototype Data Visualization Application for Librarians

Visualizations can add value to raw library data. Tools that programmatically make such visualizations interactive can further increase the value of these data by giving librarians visual tools to analyze their datasets. To demonstrate these benefits, Kingsborough Community College Library built SeeCollections (http://b7jl.org/seecollections), a Web application that visualizes the libraries’ collections of books and e-books. This article discusses the how SeeCollections gathers data from Kingsborough's discovery layer API (Application Programming Interface) and transforms these data to create visualizations for the Web. SeeCollections is a lightweight, proof-of-concept data application based on a vendor API. API data are often accessible in academic libraries but are frequently underutilized. SeeCollections was built to demonstrate the immediate value of these API data sources to Kingsborough librarians by providing a visual interface to discovery layer data. Keeping in mind the broader literature on data visualization, this article will explore how SeeCollections was built.     

Guide on the Side and LibWizard Tutorials Side-By-Side: How Do the Two Platforms for Split-Screen Online Tutorials Compare?

Split-screen tutorials are an appealing and effective way for libraries to create online learning objects where learners interact with real-time Web content. Many libraries are using the University of Arizona's award-winning, open source platform, Guide on the Side. In 2016, Springshare released a proprietary alternative, LibWizard Tutorials. This article reviews the advantages and limitations of this kind of tutorial. It also examines the differences between each platform's distinctive characteristics. These platforms create similar split-screen tutorials, but have differences that affect diverse aspects of installation, administration, authoring and editing, student learning, data management, and accessibility. Libraries now have the opportunity to consider and compare alternative platforms, and decide which one is best suited to their needs, priorities, and resources.     

Linked Data Metadata for Digital Clothing Collections

ABSTRACT

The historical clothing collections held by academic and other institutions serve as an important resource for scholars in fields ranging from fashion design to sociology. While metadata schemes have been created for individual clothing collections, no standard metadata scheme for clothing had been developed. This case study describes the creation of a linked data metadata scheme for clothing designed for the Oregon State University's College of Business Design Programs' Historical and Cultural Textile and Apparel Collection housed within the ScholarsArchive digital repository. In addition, the scheme can be used as a standard clothing metadata scheme which may be implemented by other organizations, or extended as needed.