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All Library Events
Thursday, September 7, 2:00 PM
This workshop will introduce researchers to the basics of NVivo 11 Pro for Mac, a qualitative data analysis software. Participants will learn strategies for analyzing text-based data in NVivo, such as transcribed interviews and focus groups, documents, and literature. Topics will include how to import data, create nodes and code, tips for formatting transcriptions, and basic queries and visualizations. Although Windows users are welcome to attend, this workshop will not address using NVivo in the Windows environment. Registration required; please click the "more event information" button to access the registration form.
Monday, September 11, 1:30 PM
A gentle introduction to the basics of R using RStudio. Learn about managing your R projects, data types, variable assignments, data structures, and packages such as tidyverse (dplyR) and ggvis.Attendees will be registered for the opportunity of supplementing this workshop with free academic access to DataCamp's Introduction to R course.
Monday, September 11, 1:30 PM
Bostock 023 Training Room
West Campus
A gentle introduction to the basics of R using RStudio. Learn about managing your R projects, data types, variable assignments, data structures, and packages such as tidyverse (dplyR) and ggvis.
Attendees will be registered for the opportunity of supplementing this workshop with free academic access to DataCamp's Introduction to R course.
Tuesday, September 12, 10:00 AM
Do you want to find out how geographic information (GIS) software can aid your research? This class will provide an overview of how ArcGIS Desktop software can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction.
Tuesday, September 12, 10:00 AM
Bostock 023 Training Room
West Campus
Do you want to find out how geographic information (GIS) software can aid your research? This class will provide an overview of how ArcGIS Desktop software can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction.
Tuesday, September 12, 1:00 PM
Data visualization is an increasingly important skill for researchers in all disciplines, but design skills are seldom taught explicitly. This talk will focus on a few basic design principles than can help you improve your visualizations, regardless of your discipline or choice of software. We will cover effective design choices for visualization and how to get started when visualizing your data.This workshop does not require computers and is designed for beginners to data visualization.
Tuesday, September 12, 1:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
Data visualization is an increasingly important skill for researchers in all disciplines, but design skills are seldom taught explicitly. This talk will focus on a few basic design principles than can help you improve your visualizations, regardless of your discipline or choice of software. We will cover effective design choices for visualization and how to get started when visualizing your data.
This workshop does not require computers and is designed for beginners to data visualization.
Wednesday, September 13, 1:00 PM
This workshop introduces data management practices to consider throughout the research lifecycle: planning, organization, documentation, storage and backup, sharing, citation, and preservation. The workshop will offer an overview of general recommendations that are relevant across disciplines and will point attendees to additional resources at Duke and beyond.
Wednesday, September 13, 1:00 PM
Perkins 217
West Campus
This workshop introduces data management practices to consider throughout the research lifecycle: planning, organization, documentation, storage and backup, sharing, citation, and preservation. The workshop will offer an overview of general recommendations that are relevant across disciplines and will point attendees to additional resources at Duke and beyond.
Thursday, September 14, 1:00 PM
Tableau Public (available for both Windows and Mac) is free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. This workshop will focus on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities will include a sample data visualization and mapping project, which will give people hands-on experience using Tableau's basic chart types and dashboard creation tools. We will also discuss publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students).
Thursday, September 14, 1:00 PM
Bostock 023 Training Room
West Campus
Tableau Public (available for both Windows and Mac) is free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. This workshop will focus on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities will include a sample data visualization and mapping project, which will give people hands-on experience using Tableau’s basic chart types and dashboard creation tools. We will also discuss publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students).
Thursday, September 14, 2:00 PM
This workshop is designed for researchers who are planning to collect original data and considering how to select one or more methods for doing so. The workshop begins with a review of effective and clear research question formulation and proceeds to a discussion of the advantages and opportunities, as well as limitations of various data collection methods (and associated analytic techniques), including survey research, in-depth interviewing, ethnography, focus groups, and text analysis. In addition, the workshop will attend to logistical and theoretical considerations in implementing each of these research approaches. Registration required; please click "more information" to access the registration form.
Monday, September 18, 1:30 PM
"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop. To fully participate in this workshop, please bring your own laptop."
Monday, September 18, 1:30 PM
Bostock 127 (The Edge Workshop Room)
West Campus
In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop.
To fully participate in this workshop, please bring your own laptop.
Wednesday, September 20, 9:30 AM
"For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization. Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache. In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want.Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level. While some experience with Excel is encouraged, this is not an advanced Excel workshop.Recordings of additional Excel workshops:Basic Data Cleaning and Analysis for Data TablesAdvanced Excel for Data Projects"
Wednesday, September 20, 9:30 AM
Bostock 023 Training Room
West Campus
For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization. Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache. In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want.
Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level. While some experience with Excel is encouraged, this is not an advanced Excel workshop.
Recordings of additional Excel workshops:
Wednesday, September 20, 1:00 PM
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
Wednesday, September 20, 1:00 PM
Bostock 023 Training Room
West Campus
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
Wednesday, September 20, 2:00 PM
This workshop provides an introduction to a range of qualitative research methods as well as an overview of the strengths and weaknesses of each approach. Qualitative research methods, including in-depth interviews, focus groups, archival analysis, and participant observation, vary considerably in the resources and time required to execute them reliably, and in the types of data they generate. Which data collection techniques are appropriate to which kinds of research questions and projects, and how do you execute these methods well? How are issues of reliability and validity considered and weighed in qualitative research? We will also explore different ways of managing your data prior to commencing data collection in order to facilitate the transition to data analysis. Some time will be given to the role of NVivo software in facilitating data management and preparing for data analysis. Registration required; please click "more information" to access the registration form.
Thursday, September 21, 2:00 PM
This workshop will introduce researchers to the basics of NVivo 11 Pro for Windows, a qualitative data analysis software. Participants will learn strategies for analyzing text-based data in NVivo, such as transcribed interviews and focus groups, documents, and literature. Topics will include how to import data, create nodes and code, tips for formatting transcriptions, and basic queries and visualizations. Although Mac users are welcome to attend, this workshop will not address using NVivo in the Mac environment. Registration required; please click "more information" to access the registration form.
Monday, September 25, 1:00 PM
Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research.In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending our Introduction to R workshop before attending this workshop on ggplot2.In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop.
Monday, September 25, 1:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research.
In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending our Introduction to R workshop before attending this workshop on ggplot2.
In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop. If you don't have RStudio installed, you may be able to use RStudio in a web browser by logging into the OIT Docker Containers site and selecting the RStudio container. Email askdata@duke.edu if you have any trouble gaining access to RStudio, either by installing the software on your machine or by using the Docker container from the link above.
Tuesday, September 26, 3:00 PM
"This workshop will be a deep dive into the process of writing a data management plan (DMP) using the DMPTool. To make the most of this workshop, attendees are encouraged to bring a "live" DMP that they are ready to begin or are currently in the process of writing. Attendees without active DMPs may write a "test" DMP based on who they would typically apply to for research funding. The "test" DMP can then serve as a useful reference when it is time to write a live plan. The instructors (both Research Data Management Consultants) will be on-hand to provide individual help during the writing portion of the workshop as needed and, following the workshop, are available to review plans through the DMPTool at any point up to final submission. To fully participate in the workshop, please bring your own laptop."
Tuesday, September 26, 3:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
This workshop will be a deep dive into the process of writing a data management plan (DMP) using the DMPTool. To make the most of this workshop, attendees are encouraged to bring a “live” DMP that they are ready to begin or are currently in the process of writing. Attendees without active DMPs may write a “test” DMP based on who they would typically apply to for research funding. The “test” DMP can then serve as a useful reference when it is time to write a live plan. The instructors (both Research Data Management Consultants) will be on-hand to provide individual help during the writing portion of the workshop as needed and, following the workshop, are available to review plans through the DMPTool at any point up to final submission.
To fully participate in the workshop, please bring your own laptop.
Wednesday, September 27, 1:00 PM
Looking for an open source option for GIS? QGIS is free and it is one alternative to using ArcGIS. In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections.
Wednesday, September 27, 1:00 PM
Bostock 023 Training Room
West Campus
Looking for an open source option for GIS? QGIS is free and it is one alternative to using ArcGIS. In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections.
Wednesday, September 27, 2:00 PM
This workshop will allow students to transform interview transcripts into analyzable data, and to learn foundational skills in qualitative data analysis, including a brief introduction to using NVivo software. Participants will be introduced to the most common coding strategies deployed in social science to analyze data collected through in-depth interviews, focus groups, participant observation, and/or archival analyses of text. A section of the workshop will be dedicated to taking questions regarding coding in the individual research projects of participants. Registration required; please click "more information" to access the registration form.
Thursday, September 28, 1:00 PM
This workshop offers an overview of program evaluation, or the systematic investigation of the merit, worth, or significance of a program. Topics covered will include: when and why to conduct evaluation; types of evaluations; key aspects of an evaluation, including logic model development, data sources and data collection, analysis and reporting, and guiding resultant programmatic change; and tips for feasibly and effectively implementing evaluation at a program or organization. This workshop focuses on evaluation from the perspective of programs or organizations and will be of particular interest to people working in such settings who are looking to learn more about evaluation, but it is also relevant to undergraduate students, graduate students, faculty, or other researchers who are interested in evaluation and applied research. Registration required; please click "More Information" below to access the registration form.
Friday, September 29, 9:00 AM
In this workshop, you will learn the basics of using Adobe Illustrator, the professional standard in vector graphics software, for fine-tuning charts and graphs created in other programs like Excel, Matlab and R. Many people avoid using Illustrator because of its steep learning curve, but you will see that once you know a few basic tools, it is quite easy to give all your work a consistent look, extra highlights and annotations, and that professional edge. There are no prerequisites - we will start with the basics. (Note that the material presented here is a more complete and expanded treatment of the last section of my previous Illustrator workshops where chart modification always got squeezed into the last half-hour, which was not enough time.)
Friday, September 29, 9:00 AM
Bostock 023 Training Room
West Campus
In this workshop, you will learn the basics of using Adobe Illustrator, the professional standard in vector graphics software, for fine-tuning charts and graphs created in other programs like Excel, Matlab and R. Many people avoid using Illustrator because of its steep learning curve, but you will see that once you know a few basic tools, it is quite easy to give all your work a consistent look, extra highlights and annotations, and that professional edge. There are no prerequisites – we will start with the basics. (Note that the material presented here is a more complete and expanded treatment of the last section of my previous Illustrator workshops where chart modification always got squeezed into the last half-hour, which was not enough time.)
Monday, October 2, 1:30 PM
R has become a popular mapping option for those who want to easily switch between spatial and statistical analysis and reproduce/share the code easily. This workshop will demonstrate how to import and view shapefiles, run statistical analysis, and create a leaflet map which can be used online. Prerequisites: Intro to R: Data Transformations, Analysis, and Data Structures. Please attend this workshop or watch the video. Knowledge of GIS concepts is recommended.
Monday, October 2, 1:30 PM
Bostock 023 Training Room
West Campus
R has become a popular mapping option for those who want to easily switch between spatial and statistical analysis and reproduce/share the code easily. This workshop will demonstrate how to import and view shapefiles, run statistical analysis, and create a leaflet map which can be used online. Prerequisites: Intro to R: Data Transformations, Analysis, and Data Structures. Please attend this workshop or watch the video. Knowledge of GIS concepts is recommended.
Tuesday, October 3, 9:00 AM
"There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a workshop, hosted by the Center for Open Science, to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands-on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish. Topics covered include project documentation, version control, pre-analysis plans, and open source tools like the Open Science Framework.This workshop is aimed at graduate students and postdocs, across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows. Attendees will need to bring their own laptop in order to fully participate."
Tuesday, October 3, 9:00 AM
Bostock 127 (The Edge Workshop Room)
West Campus
There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a workshop, hosted by the Center for Open Science, to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands-on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish. Topics covered include project documentation, version control, pre-analysis plans, and open source tools like the Open Science Framework.
This workshop is aimed at graduate students and postdocs, across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.
Attendees will need to bring their own laptop in order to fully participate.
Wednesday, October 4, 2:00 PM
This workshop examines question wording and questionnaire design for online and paper questionnaires. This course does not include programming (which is offered in the separate Qualtrics workshop), but focuses on the conceptual issues and considerations underpinning questionnaire design, question wording, and response options. This workshop also provides an introduction to conducting survey experiments, including a brief motivation for when and why to use an experiment, common experimental designs, constructing experimental manipulations, and analysis.Registration required; please click "more information" to access the registration form.
Thursday, October 5, 2:00 PM
This workshop introduces data management practices to consider throughout the research lifecycle: planning, organization, documentation, storage and backup, sharing, citation, and preservation. The workshop will focus on best practices for data management in the social sciences, with an emphasis on documentation strategies for data collection, file organization, data validation, and analysis protocols. Registration required; please click "more information" to access the registration form.
Wednesday, October 11, 2:00 PM
This workshop offers an introduction to Qualtrics survey software, a package available (at no cost to researchers) for use across Duke's campus and medical center. This powerful, easy-to-use system is a great way to collect information online, whether as part of a research protocol or for administrative purposes such as program evaluation. This workshop will introduce participants to the Qualtrics system, demonstrate how to set up an account, create a questionnaire and access its results. It will also cover some basic tools that can be used to customize the questionnaire to fit your needs, such as using display and skip logic to collect more detailed information from a subset of your audience. The workshop is taught through the Duke Initiative on Survey Methodology (DISM) in collaboration with the Duke Office of Information Technology (OIT). Participants will receive a very brief overview of the consulting and other services DISM offers to help Duke researchers develop and conduct surveys. Registration required; please click "more information" to access the registration form.
Wednesday, October 11, 4:00 PM
In her latest book, educational innovator Cathy N. Davidson (Duke's former Vice Provost for Interdisciplinary Studies) argues that the American university is stuck in the past-and shows how we can revolutionize it to prepare students for our age of constant change. Our current system of higher education dates to the period from 1865 to 1925, when the nation's new universities created grades and departments, majors and minors, graduate and professional schools in an attempt to prepare young people for a world transformed by the telegraph and the Model T. This approach to education worked for most of the 20th century but is unsuited to the era of the gig economy. From the Ivy League to community colleges, Davidson introduces us to innovators who are remaking college for our own time, by emphasizing student-centered learning that values creativity, dexterity, innovation, and social change. In this talk, she shows how we can revolutionize our universities to help students be leaders of change, not simply subject to it.
Friday, October 13, 9:30 AM
So many of the tools that have been developed for data visualization focus on data that are in spreadsheet format, especially data that are number-heavy. For qualitative research, numerical data may not be the primary focus, or the numerical data may be difficult to visualize for other reasons. This workshop will explore some of the complications of trying to visualize qualitative data, walking through examples of different types of qualitative data projects and the visualizations that have been produced from those projects. Exercises will help attendees work through the process of developing visualizations for sample qualitative projects. The workshop will include recommendations for tools that may be useful, but we will focus more on the process of identifying possible visual elements within a qualitative data project than on a specific software application.
Friday, October 13, 9:30 AM
Bostock 127 (The Edge Workshop Room)
West Campus
So many of the tools that have been developed for data visualization focus on data that are in spreadsheet format, especially data that are number-heavy. For qualitative research, numerical data may not be the primary focus, or the numerical data may be difficult to visualize for other reasons. This workshop will explore some of the complications of trying to visualize qualitative data, walking through examples of different types of qualitative data projects and the visualizations that have been produced from those projects. Exercises will help attendees work through the process of developing visualizations for sample qualitative projects. The workshop will include recommendations for tools that may be useful, but we will focus more on the process of identifying possible visual elements within a qualitative data project than on a specific software application.
Friday, October 13, 12:00 PM
Perkins 217
West Campus
We’ll work together to explore and identify common issues with multiple choice questions and how to avoid them. We’ll discuss examples of multiple choice questions that address higher order learning objectives and you’ll write a few for your course and get feedback. Finally, we’ll look at how we can use analytics to determine if questions are successful.
Monday, October 16, 1:00 PM
Compare and contrast several products intended for geospatial visualization (e.g., a map to embed in a blog or PowerPoint, or for a poster session) and, in some cases, for GIS data analysis. We'll focus on ArcGIS Online, which is a companion to the ArcGIS client that allows members of a group to store and share spatial data online, and that can be used independently or in conjunction with the ArcGIS client. Also, we'll touch on several other cloud-based options for creating simple maps for sharing.
Monday, October 16, 1:00 PM
Bostock 023 Training Room
West Campus
Compare and contrast several products intended for geospatial visualization (e.g., a map to embed in a blog or PowerPoint, or for a poster session) and, in some cases, for GIS data analysis. We'll focus on ArcGIS Online, which is a companion to the ArcGIS client that allows members of a group to store and share spatial data online, and that can be used independently or in conjunction with the ArcGIS client. Also, we'll touch on several other cloud-based options for creating simple maps for sharing.
Tuesday, October 17, 9:30 AM
The "infographics" style of presenting information and telling visual stories is popular both for internal reporting and for trying to reach and teach the general public. There are many desktop and online tools that can be used to compose static infographics, but we will focus on Microsoft PowerPoint because so many people have free access to it on campus and already have some comfort with it as a visual communications tool. This workshop will give a brief introduction to graphic design and storytelling principles, as well as hands-on practice with using PowerPoint to create icons and other vector shapes to combine with text and visualizations to tell compelling and eye-catching data stories. There are no prerequisites, but some experience using PowerPoint will be helpful.
Tuesday, October 17, 9:30 AM
Bostock 023 Training Room
West Campus
The “infographics” style of presenting information and telling visual stories is popular both for internal reporting and for trying to reach and teach the general public. There are many desktop and online tools that can be used to compose static infographics, but we will focus on Microsoft PowerPoint because so many people have free access to it on campus and already have some comfort with it as a visual communications tool. This workshop will give a brief introduction to graphic design and storytelling principles, as well as hands-on practice with using PowerPoint to create icons and other vector shapes to combine with text and visualizations to tell compelling and eye-catching data stories. There are no prerequisites, but some experience using PowerPoint will be helpful.
Tuesday, October 17, 1:30 PM
"A gentle introduction to the basics of R using RStudio. Learn about managing your R projects, data types, variable assignments, data structures, and packages such as tidyverse (dplyR) and ggvis.Attendees will be registered for the opportunity of supplementing this workshop with free academic access to DataCamp's Introduction to R course."
Tuesday, October 17, 1:30 PM
Bostock 023 Training Room
West Campus
A gentle introduction to the basics of R using RStudio. Learn about managing your R projects, data types, variable assignments, data structures, and packages such as tidyverse (dplyR) and ggvis.
Attendees will be registered for the opportunity of supplementing this workshop with free academic access to DataCamp's Introduction to R course.
Wednesday, October 18, 10:00 AM
Perkins 217
West Campus
Want to find new ways to get feedback from your students on their understanding of your course material and engage them more deeply in the course content? In this workshop, participants will explore in five simple active learning methods they can try in their own courses. Discover how to foster deeper student learning with techniques that can be used in class sizes ranging from small seminars to large lectures.
Wednesday, October 18, 2:00 PM
"Publishing and preserving research data within a trusted repository helps researchers comply with funder and journal data sharing policies, supports the discovery of and access to data, and can result in more visibility and higher impact for research projects. This workshop will provide an overview of the different types of repositories and the overall role of repositories within the data sharing landscape. Key repositories in various disciplines will be explored, and attendees will learn about resources for locating and assessing repositories. Attendees will also have an opportunity to locate appropriate repositories for their own research. To fully participate in this workshop, please bring your own laptop."
Wednesday, October 18, 2:00 PM
This workshop examines questionnaire design for online and paper questionnaires, such as screen layout and appearance, the use of images, and other aspects of the user interface which affect the accuracy of survey results. This course does not include programming, but focuses on the conceptual issues and considerations underpinning questionnaire design for online and paper designs. It also considers the design issues involved in combing such modes can be combined with other data collection modes, i.e., in-person or telephone. Registration required; please click "More Information" below to access the registration form.
Wednesday, October 18, 2:00 PM
"Publishing and preserving research data within a trusted repository helps researchers comply with funder and journal data sharing policies, supports the discovery of and access to data, and can result in more visibility and higher impact for research projects. This workshop will provide an overview of the different types of repositories and the overall role of repositories within the data sharing landscape. Key repositories in various disciplines will be explored, and attendees will learn about resources for locating and assessing repositories. Attendees will also have an opportunity to locate appropriate repositories for their own research. To fully participate in this workshop, please bring your own laptop."
Wednesday, October 18, 2:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
Publishing and preserving research data within a trusted repository helps researchers comply with funder and journal data sharing policies, supports the discovery of and access to data, and can result in more visibility and higher impact for research projects. This workshop will provide an overview of the different types of repositories and the overall role of repositories within the data sharing landscape. Key repositories in various disciplines will be explored, and attendees will learn about resources for locating and assessing repositories. Attendees will also have an opportunity to locate appropriate repositories for their own research.
To fully participate in this workshop, please bring your own laptop.
Thursday, October 19, 10:00 AM
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
Thursday, October 19, 10:00 AM
Bostock 023 Training Room
West Campus
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
Thursday, October 19, 1:30 PM
"Learn how to leverage your knowledge of R and RMarkdown to create compelling, interactive website and interactive documents using the Shiny web application framework. Shiny makes it easy to transition from desktop based analysis and visualizations to interactive websites without having to learn HTML, CSS, and javascript. This workshop provides an overview of the shiny framework along with examples and exercises designed to build confidence in developing shiny based documents and websites. Prerequisites: Experience using the R statistical language or DVS's Introduction to R Workshop"
Thursday, October 19, 1:30 PM
Bostock 023 Training Room
West Campus
Learn how to leverage your knowledge of R and RMarkdown to create compelling, interactive website and interactive documents using the Shiny web application framework. Shiny makes it easy to transition from desktop based analysis and visualizations to interactive websites without having to learn HTML, CSS, and javascript. This workshop provides an overview of the shiny framework along with examples and exercises designed to build confidence in developing shiny based documents and websites.
Prerequisites: Experience using the R statistical language or DVS's Introduction to R Workshop
Tuesday, October 24, 1:00 PM
"ArcGIS Pro is a newly designed interface to the tried-and-true ArcGIS desktop software. It has essentially the same functions, but with more of a MS-Office interface. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project. It's more fully integrated with ArcGIS Online, and users will need to have created an Duke ArcGIS Online account. An administrator will activate your ArcGIS Pro license after you've created an ArcGIS Online account.ArcGIS Pro can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. It's helpful, but not necessary, to be familiar with ArcGIS Desktop beforehand."
Tuesday, October 24, 1:00 PM
Research involving humans requires multiple approaches to protect participants' anonymity. If you are planning to (or are required to) share your human subjects' data outside of your original project team, or plan to re-use data you collected previously for a new research project, you will need to design a consent form/consent protocol that properly addresses these situations. This workshop will present various research scenarios with examples of how consent protocols should be developed.
Tuesday, October 24, 1:00 PM
"ArcGIS Pro is a newly designed interface to the tried-and-true ArcGIS desktop software. It has essentially the same functions, but with more of a MS-Office interface. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project. It's more fully integrated with ArcGIS Online, and users will need to have created an Duke ArcGIS Online account. An administrator will activate your ArcGIS Pro license after you've created an ArcGIS Online account.ArcGIS Pro can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. It's helpful, but not necessary, to be familiar with ArcGIS Desktop beforehand."
Tuesday, October 24, 1:00 PM
Bostock 023 Training Room
West Campus
ArcGIS Pro is a newly designed interface to the tried-and-true ArcGIS desktop software. It has essentially the same functions, but with more of a MS-Office interface. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project. It's more fully integrated with ArcGIS Online, and users will need to have created an Duke ArcGIS Online account. An administrator will activate your ArcGIS Pro license after you've created an ArcGIS Online account.
ArcGIS Pro can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. It's helpful, but not necessary, to be familiar with ArcGIS Desktop beforehand.
Tuesday, October 24, 1:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
Research involving humans requires multiple approaches to protect participants’ anonymity. If you are planning to (or are required to) share your human subjects’ data outside of your original project team, or plan to re-use data you collected previously for a new research project, you will need to design a consent form/consent protocol that properly addresses these situations. This workshop will present various research scenarios with examples of how consent protocols should be developed.
Wednesday, October 25, 12:00 PM
Rubenstein 249 (Carpenter Conference Room)
West Campus
All humanities faculty and students are invited to join this discussion of copyright for humanities scholarship and open access to humanistic research, from articles and monographs to digital projects. David Hansen, head of the Office and Copyright and Scholarly Communication at Duke Libraries, and Haley Walton, open access librarian, will be addressing these issues and how they can affect your work as a scholar in the humanities.
Thursday, October 26, 2:00 PM
This workshop offers an overview of the SAS programming language, focusing on data management activities. Session 1 includes a general overview of major SAS components (Program Editor, Log and Output) and the core concepts of SAS programming (DATA and PROC steps). It focuses on the process of importing and modifying data, including issues of importing/exporting data from other file formats, merging and concatenating data sets, and adding to or subsettting from datasets. Key SAS statements described include: PROC IMPORT, SET, MERGE, IF-THEN, and WHERE. Session 2 focuses on data analysis, including variable creation/recoding and descriptive analyses typically used in data management. Key SAS statements described include: PROC CONTENTS, PROC MEANS, and PROC FREQ. Together, these two sessions allow researchers to learn basic data management processes using the SAS statistical system. Registration required; please click "more information" to access the registration form.
Thursday, November 2, 2:00 PM
This workshop offers an overview of the SAS programming language, focusing on data management activities. Session 1 includes a general overview of major SAS components (Program Editor, Log and Output) and the core concepts of SAS programming (DATA and PROC steps). It focuses on the process of importing and modifying data, including issues of importing/exporting data from other file formats, merging and concatenating data sets, and adding to or subsettting from datasets. Key SAS statements described include: PROC IMPORT, SET, MERGE, IF-THEN, and WHERE. Session 2 focuses on data analysis, including variable creation/recoding and descriptive analyses typically used in data management. Key SAS statements described include: PROC CONTENTS, PROC MEANS, and PROC FREQ. Together, these two sessions allow researchers to learn basic data management processes using the SAS statistical system. Registration required; please click "more information" to access the registration form.
Tuesday, November 7, 1:00 PM
Scholars increasingly work on collaborative research projects. Collaborative projects often bring together partners across disciplines, institutions, and sectors. These projects present opportunities for innovation but also raise challenges for the development of efficient and effective workflows and the management of data. This workshop will examine considerations for collaborative research and present some strategies for developing and documenting workflows as well as methods for storing and sharing data. We will also look at some tools (i.e., Box, OSF, PRDN, etc.) available at Duke that can be used to support these types of projects.
Tuesday, November 7, 1:00 PM
Bostock 127 (The Edge Workshop Room)
West Campus
Scholars increasingly work on collaborative research projects. Collaborative projects often bring together partners across disciplines, institutions, and sectors. These projects present opportunities for innovation but also raise challenges for the development of efficient and effective workflows and the management of data. This workshop will examine considerations for collaborative research and present some strategies for developing and documenting workflows as well as methods for storing and sharing data. We will also look at some tools (i.e., Box, OSF, PRDN, etc.) available at Duke that can be used to support these types of projects.
Thursday, November 9, 1:00 PM
Python can be a great option for exploration, analysis and visualization of tabular data, like spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop will take you through some practical examples of using Python and the Pandas module inside a Jupyter notebook, to load data, transform it into a standard "tidy" format, and visualize it with Seaborn (or another similar module). There are no prerequisites for this workshop - familiarity with the Python programming language is not required, but you will probably find it easier to follow if you have a little coding experience since we will not be giving an overview of the language itself. Instead, the focus will be on learning how to use the language through conceptual understanding and recipes for specific, commonly-useful tasks.
Thursday, November 9, 1:00 PM
Bostock 023 Training Room
West Campus
Python can be a great option for exploration, analysis and visualization of tabular data, like spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop will take you through some practical examples of using Python and the Pandas module inside a Jupyter notebook, to load data, transform it into a standard “tidy” format, and visualize it with Seaborn (or another similar module). There are no prerequisites for this workshop – familiarity with the Python programming language is not required, but you will probably find it easier to follow if you have a little coding experience since we will not be giving an overview of the language itself. Instead, the focus will be on learning how to use the language through conceptual understanding and recipes for specific, commonly-useful tasks.
Wednesday, February 7, 1:00 PM
Bostock 023 Training Room
West Campus
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
