Data Analytics: Introduction to Using Analytics in Auditing

ABSTRACT This is a hands-on introductory practical data analytics teaching case that can be used in an auditing or related course. Students will learn about data attributes, data creation, structured query language (SQL), basic statistics, and performing basic audit procedures using analytics by utilizing the open source software R. Instructors can use this case for an in-class discussion or an independent out-of-class assignment. A solutions guide is available in the Teaching Notes. Multimedia files are available for download, see Appendix B.

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Analytics and Privacy

Information Technology and Libraries ◽

10.6017/ital.v39i3.12219 ◽

2020 ◽

Vol 39 (3) ◽

Author(s):

Denise Quintel ◽

Robert Wilson

Keyword(s):

Data Collection ◽

Open Source ◽

Open Source Software ◽

Academic Libraries ◽

Data Analytics ◽

Web Analytics ◽

User Privacy ◽

Software Application ◽

Discovery Service

When selecting a web analytics tool, academic libraries have traditionally turned to Google Analytics for data collection to gain insights into the usage of their web properties. As the valuable field of data analytics continues to grow, concerns about user privacy rise as well, especially when discussing a technology giant like Google. In this article, the authors explore the feasibility of using Matomo, a free and open-source software application, for web analytics in their library’s discovery layer. Matomo is a web analytics platform designed around user-privacy assurances. This article details the installation process, makes comparisons between Matomo and Google Analytics, and describes how an open-source analytics platform works within a library-specific application, EBSCO’s Discovery Service.

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The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries: A Collaborative Ethnography of Documentation Work

10.31235/osf.io/2fdhr ◽

2018 ◽

Author(s):

R. Stuart Geiger ◽

Nelle Varoquaux ◽

Charlotte Cabasse ◽

Christopher Holdgraf

Keyword(s):

Open Source ◽

Open Source Software ◽

Data Analytics ◽

Qualitative Interviews ◽

Data Intensive ◽

Software Documentation ◽

Software Libraries ◽

Changing Practices ◽

Collaborative Ethnography ◽

Documentation Work

Computational research and data analytics increasingly relies on complex ecosystems of open source software (OSS) "libraries" -- curated collections of reusable code that programmers import to perform a specific task. Software documentation for these libraries is crucial in helping programmers/analysts know what libraries are available and how to use them. Yet documentation for open source software libraries is widely considered low-quality. This article is a collaboration between CSCW researchers and contributors to data analytics OSS libraries, based on ethnographic fieldwork and qualitative interviews. We examine several issues around the formats, practices, and challenges around documentation in these largely volunteer-based projects. There are many different kinds and formats of documentation that exist around such libraries, which play a variety of educational, promotional, and organizational roles. The work behind documentation is similarly multifaceted, including writing, reviewing, maintaining, and organizing documentation. Different aspects of documentation work require contributors to have different sets of skills and overcome various social and technical barriers. Finally, most of our interviewees do not report high levels of intrinsic enjoyment for doing documentation work (compared to writing code). Their motivation is affected by personal and project-specific factors, such as the perceived level of credit for doing documentation work versus more `technical' tasks like adding new features or fixing bugs. In studying documentation work for data analytics OSS libraries, we gain a new window into the changing practices of data-intensive research, as well as help practitioners better understand how to support this often invisible and infrastructural work in their projects.

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Open Source Software Integrations

Open Source Technology ◽

10.4018/978-1-4666-7230-7.ch067 ◽

2015 ◽

pp. 1370-1385

Author(s):

Gábor Bakos

Keyword(s):

Open Source ◽

Open Source Software ◽

Data Analytics ◽

Software Integration ◽

General Practices ◽

Java Platform

RapidMiner is a popular open source, Java-based data analytics software. This chapter shows a case studying how it can be integrated to other programs. R and Vega integration is also introduced briefly in connection to open source software integration. The authors cover some general practices regarding integrating software to a Java environment and collect some popular open source libraries that are found useful related to data analytics. They focus mostly on the Java platform, though some parts of the chapter are applicable to other platforms too.

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Open Source Software Integrations

Advances in Business Strategy and Competitive Advantage - Integration of Data Mining in Business Intelligence Systems ◽

10.4018/978-1-4666-6477-7.ch012 ◽

2015 ◽

pp. 240-256

Author(s):

Gábor Bakos

Keyword(s):

Open Source ◽

Open Source Software ◽

Data Analytics ◽

Software Integration ◽

General Practices ◽

Java Platform

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The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries

Computer Supported Cooperative Work (CSCW) ◽

10.1007/s10606-018-9333-1 ◽

2018 ◽

Vol 27 (3-6) ◽

pp. 767-802 ◽

Cited By ~ 5

Author(s):

R. Stuart Geiger ◽

Nelle Varoquaux ◽

Charlotte Mazel-Cabasse ◽

Chris Holdgraf

Keyword(s):

Open Source ◽

Open Source Software ◽

Data Analytics ◽

Software Libraries

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An accessible, hands-on tutorial system for image-guided therapy and medical robotics using a robot and open-source software

The Insight Journal ◽

10.54294/ovqsl0 ◽

2007 ◽

Author(s):

Danielle Pace ◽

Ron Kikinis ◽

Nobuhiko Hata

Keyword(s):

Open Source ◽

Open Source Software ◽

Medical Robotics ◽

3D Slicer ◽

Image Guided Therapy ◽

Image Guided ◽

Tutorial System ◽

Hands On ◽

Lego Mindstorms ◽

Guided Therapy

This paper describes a new open-source tutorial for image-guided therapy (IGT) and medical robotics that is both accessible and hands-on using the LEGO Mindstorms NXT (a commercially available robotics kit) and 3D Slicer (an open-source application for medical image processing). The tutorial covers all stages of a typical IGT or medical robotics procedure, including the concepts of imaging, preoperative planning, targeting and tracking, navigation and registration, by using the LEGO robot to perform a “needle biopsy” on a phantom (anatomical model) made of traditional LEGO pieces. In addition, this paper describes a C++ library that allows direct control of a LEGO Mindstorms NXT robot from a Linux computer over a USB connection.

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