Jan 28, 2021, 11:00am-12:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 17

EndNote is a citation-management software application that makes saving citations and then citing them within documents easy. EndNote's pre-formatted style templates speed up composition. Learn how to manage and cite text and images, create subject bibliographies, and access various output styles.

To try out EndNote download a free 30 day trial.

Hopkins faculty and staff can purchase EndNote at a discount through Hopkins IT Services. Students can purchase at a discount directly from EndNote.

Jan 29, 2021, 10:00am-11:00am
Instructor:  Caitlin Carter
Total Seats: 25  Available Seats: 19

This workshop will explore the scholarly journal publishing landscape. Participants will learn:

  • To define key terms and resources that support publishing
  • To evaluate the traditional publishing model and how it has changed
  • To assess the decision-making process one needs to go through when selecting a journal
Feb 2, 2021, 12:00pm-1:30pm
Instructor:  David Fearon

With funders and publishers increasingly asking researchers to share data, protecting the privacy of research participants and patients is particularly challenging. Join JHU Data Services  for an overview of common privacy disclosure risks from personal and health identifiers in data. We discuss how to comply with IRB and HIPAA guidance for data security within the research team and introduce techniques for de-identifying data shared with external collaborators and public databases.  
 

Feb 8, 2021, 12:00pm-1:00pm
Instructor:  Donna Hesson
Total Seats: 25  Available Seats: 11

Learn how to use databases effectively by understanding the conceptual framework for searching and how it can be applied to any database. Use controlled vocabulary, keyword searching, and Boolean operators to optimize the effectiveness of each database, understand the concept of citation searching, and learn other tips and tricks along the way.  These searching fundamentals can assist any level of searching, from finding a few selected articles for a journal club or course readings, through comprehensive reviews of the literature on a particular topic.

Feb 9, 2021, 11:00am-12:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 20

Legacy RefWorks allows users to create personal reference databases and use them for a variety of research activities. References are quickly and easily imported from text files or online databases. RefWorks can then be used to manage, store, and share the information. The Write-N-Cite feature allows users to instantly generate citations and bibliographies. This class will give an overview of Legacy RefWorks and its functions.

Access Legacy RefWorks through the Welch Medical Library website.

Feb 10, 2021, 1:00pm-2:00pm
Instructor:  Jaime Blanck
Total Seats: 25  Available Seats: 22

In this session, participants will learn the importance of creating and maintaining a researcher profile using ORCID.  ORCID is a persistent digital identifier that links researchers to their professional activities via a scholarly profile. Individuals will learn how link the data from their ORCID profile to the NIH SciENcv tool to quickly create high-quality biosketches for all of their funding applications.

Feb 11, 2021, 2:00pm-4:00pm
Instructors:  Bonni Wittstadt Lena Denis

Students will turn their work into a great story using the ArcGIS StoryMaps web app.  StoryMaps allows a user to create an interactive web presence for their research materials without knowing any HTML, CSS, or Javascript.  In this hands-on session with JHU Data Services, you’ll integrate maps, text, and scanned images.  You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose or keep it to yourself for later work. No previous experience required. 

Feb 12, 2021, 11:00am-12:00pm
Instructor:  Caitlin Carter
Total Seats: 25  Available Seats: 21

In this class participants will discuss Open Access and Open Access publishing. Participants will learn:

  • Key terms in Open Access publishing
  • The values exist in publishing, and how Open Access contributes
  • Your ability to share different versions of your research
  • How to locate and use tools, websites, and resources that contain Open Access research
Feb 12, 2021, 2:00pm-4:00pm
Instructors:  Bonni Wittstadt Lena Denis

Prerequisite: Bringing Your Research Alive Through Story Telling: StoryMaps for Beginners or some experience using StoryMaps.

Students will turn their work into a great story using the ArcGIS StoryMaps web app.  StoryMaps allows a user to create an interactive web presence for their research materials without knowing any HTML, CSS, or Javascript.  In this hands-on session with JHU Data Services, you’ll learn some advanced features for presenting your maps, text, and scanned images through express maps, a guided map tour, an explorer map tour, and a custom theme builder.  You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose, including through a StoryMaps Collections showcase, or keep it to yourself for later work. Prior experience with StoryMaps, such as through our Beginner workshop, required.  There will be time at the end for questions about using StoryMaps for your own projects. 
 

Feb 16, 2021, 1:00pm-3:00pm
Instructor:  Bonni Wittstadt

Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This JHU Data Services will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application.

Feb 16, 2021, 1:00pm-2:00pm
Instructor:  Julie Nanavati
Total Seats: 25  Available Seats: 19

Embase, a European biomedical database that covers similar topics as PubMed. This class will cover how to search this database more efficiently including using controlled vocabulary (Emtree), field tags, and truncation. In addition, participants will learn how to use proximity operators to develop more sophisticated searches. By the end of this class, participants will walk away with the skills needed to search Embase like a pro.

Feb 17, 2021, 10:30am-11:30am
Instructor:  Stella Seal
Total Seats: 25  Available Seats: 16

Finding surveys, questionnaires, or other research tools and instruments can be very challenging. This class will focus on how to find tools related to a specific topic, such as knowledge assessments, surveys, pre- and post-tests, and other research instruments and tools. Attendees will learn what resources are available where tools can be found, how to develop a strategy for searching for tools using licensed resources and open websites.

Feb 17, 2021, 1:00pm-2:00pm
Instructor:  Marley Kalt

Data management plans (DMPs) are increasingly required in the grant proposal process, particularly for research funding from federal agencies. In this 1-hour workshop with JHU Data Services, learn how the free, online DMPTool (https://dmptool.org/) can help you organize your data management plan and tailor plans to your funder’s requirements. We will discuss the main components of an effective data management plan, how JHU Data Services can help with DMPs, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty, postdoctoral researchers and graduate students from all disciplines. Learn more about JHU Data Services and our DMP consultations at https://dataservices.library.jhu.edu/consulting/.  

Feb 18, 2021, 10:00am-10:30am
Instructor:  Claire Twose
Total Seats: 25  Available Seats: 24

PubMed has recently released their updated interface.  This new PubMed became the default in spring 2020 and replaced the legacy version of which many are currently familiar.  This class provides an overview of the new PubMed.  Participants will learn to navigate the new interface, explore the new features, and locate features carried over from “legacy” PubMed.

Feb 23, 2021, 1:00pm-2:00pm
Instructors:  Reina Murray Marley Kalt Peter Lawson

Integrated development environments (IDEs) are a useful and often critical component in a programmer’s workflow. Join JHU Data Services in this one-hour session, which will introduce IDEs -- what they are and why one might use them, and end with demonstrating several popular IDEs for Python programming. We’ll cover a range of options and features, from simple text editors to debuggers and plug-ins, to help you determine what may work best for you and why. This workshop is open to Python programmers of all levels.    

Mar 3, 2021, 1:00pm-2:30pm
Instructors:  Bonni Wittstadt Chen Chiu

Are you interested in learning how to code but don’t know where to start? Learning to code can be a daunting task if you have no background in computer science or related fields. Join JHU Data Services for this workshop to learn about coding terminology and concepts, and to jump start your journey into coding. We will provide troubleshooting tips and resources for further learning. If you plan to take any other coding workshops/courses and have no prior knowledge, then this workshop is the one for you.    

Mar 8, 2021, 4:00pm-7:00pm
Instructor:  Peter Lawson

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.   

Mar 10, 2021, 12:00pm-1:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 23

EndNote is a citation-management software application that makes saving citations and then citing them within documents easy. EndNote's pre-formatted style templates speed up composition. Learn how to manage and cite text and images, create subject bibliographies, and access various output styles.

To try out EndNote download a free 30 day trial.

Hopkins faculty and staff can purchase EndNote at a discount through Hopkins IT Services. Students can purchase at a discount directly from EndNote.

Mar 10, 2021, 1:00pm-4:00pm
Instructor:  Peter Lawson

Note: This is a two-day, 3-hr workshop on 3/10, 1:00 - 4:00 pm (Part A)  AND 3/11, 1:00 - 4:00 pm (Part B).

Prerequisite: Data Visualization in R or moderate experience using R.

Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.

Mar 16, 2021, 1:00pm-2:00pm
Instructor:  Julie Nanavati
Total Seats: 25  Available Seats: 23

Learn about APA PsycINFO, a biomedical database that focuses on psychological sciences. This class will cover how to search this database more efficiently including using controlled vocabulary, field tags, and truncation. In addition, participants will learn strategies for finding tests & measurements from within this database and explore ways to use APA PsycINFO to stay current on psychological topics. By the end of this class, participants will walk away with the skills needed to search APA PsycINFO like a pro.

Mar 17, 2021, 1:00pm-4:00pm
Instructors:  Chen Chiu Marley Kalt

R is an open source software for statistical computing and graphics. Join JHU Data Services for this “Introduction to R" workshop. This is for people who want to learn this data analysis tool but have little or no experience in any programming languages. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half will have several hands-on activities to learn basic R skills, such as installing R packages, importing and exploring data. Some troubleshooting tips and R resources will be provided at the end of this workshop. 

Mar 18, 2021, 10:00am-10:30am
Instructor:  Claire Twose
Total Seats: 25  Available Seats: 25

PubMed has recently released their updated interface.  This new PubMed became the default in spring 2020 and replaced the legacy version of which many are currently familiar.  This class provides an overview of the new PubMed.  Participants will learn to navigate the new interface, explore the new features, and locate features carried over from “legacy” PubMed.

Mar 23, 2021, 10:00am-11:00am
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 25

Legacy RefWorks allows users to create personal reference databases and use them for a variety of research activities. References are quickly and easily imported from text files or online databases. RefWorks can then be used to manage, store, and share the information. The Write-N-Cite feature allows users to instantly generate citations and bibliographies. This class will give an overview of Legacy RefWorks and its functions.

Access Legacy RefWorks through the Welch Medical Library website.

Mar 24, 2021, 1:00pm-4:00pm
Instructor:  Chen Chiu

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

Do you work with other people’s data? Are there times when you need to clean or reorganize these data to work for you? Join JHU Data Services for this workshop to efficiently clean data in R. You will need to have either some basic knowledge about using R or have previously attended our Introduction to R for Absolute Beginners workshop in order to take this one. We will give an overview of the concepts of data cleaning and go into great detail with tidyr package. The instructor will walk you through the basic data cleaning steps with tidyr package for the first part of this workshop. Then you will apply these skills to clean a dataset downloaded from Kaggle (https://www.kaggle.com/datasets) at the second part of this workshop. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors. 

Mar 29, 2021, 1:00pm-4:00pm
Instructor:  Bonni Wittstadt

This JHU Data Services half-day course introduces students to ArcGIS Pro, the most widely used geographic information systems (GIS) software. Learn the basics which include how to work with spatial data and how to create maps. If your research calls for making maps or using a geographic information system to analyze data, then this class is for you. 

Mar 31, 2021, 1:00pm-3:00pm
Instructor:  Chen Chiu

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

The dplyr package is a popular R package that people often use to manipulate and join datasets. You will need to have either some basic knowledge about using R or have previously attended our Introduction to R for Absolute Beginners workshop in order to take this one. Join JHU Data Services for this workshop and you will learn to use several functions, including mutate(), filter(), select(), summarize() and group_by(), in dplyr to manipulate data for the first half of the workshop. For the second part of this workshop, you will learn the join functions (e.g. left_join(), right_join(), inner_join(), semi_join(), anti_join(), full_join(), bind_rows() and bind_cols()) and set operations (e.g. union(), intersect() and setdiff()) in dplyr to combine two datasets. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors. 

Apr 6, 2021, 2:00pm-4:00pm
Instructors:  Bonni Wittstadt Lena Denis

Students will turn their work into a great story using the ArcGIS StoryMaps web app.  StoryMaps allows a user to create an interactive web presence for their research materials without knowing any HTML, CSS, or Javascript.  In this hands-on session with JHU Data Services, you’ll integrate maps, text, and scanned images.  You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose or keep it to yourself for later work. No previous experience required. 

Apr 7, 2021, 9:30am-12:30pm
Instructor:  Peter Lawson

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.   

Apr 7, 2021, 2:00pm-4:00pm
Instructors:  Bonni Wittstadt Lena Denis

Prerequisite: Bringing Your Research Alive Through Story Telling: StoryMaps for Beginners or some experience using StoryMaps.

Students will turn their work into a great story using the ArcGIS StoryMaps web app.  StoryMaps allows a user to create an interactive web presence for their research materials without knowing any HTML, CSS, or Javascript.  In this hands-on session with JHU Data Services, you’ll learn some advanced features for presenting your maps, text, and scanned images through express maps, a guided map tour, an explorer map tour, and a custom theme builder.  You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose, including through a StoryMaps Collections showcase, or keep it to yourself for later work. Prior experience with StoryMaps, such as through our Beginner workshop, required.  There will be time at the end for questions about using StoryMaps for your own projects. 
 

Apr 8, 2021, 4:00pm-5:30pm
Instructor:  David Fearon

With funders and publishers increasingly asking researchers to share data, protecting the privacy of research participants and patients is particularly challenging. Join JHU Data Services  for an overview of common privacy disclosure risks from personal and health identifiers in data. We discuss how to comply with IRB and HIPAA guidance for data security within the research team and introduce techniques for de-identifying data shared with external collaborators and public databases.  
 

Apr 13, 2021, 2:00pm-4:00pm
Instructor:  Bonni Wittstadt

This workshop will be hands on using ArcGIS Online but students will be provided with directions as to how to do both joining and geocoding using ArcGIS Pro.  Students will learn the concepts required to perform successful joining of data and geocoding along with tips and suggestions for preparing data for use with ArcGIS. Common file formats will be discussed, (e.g. Excel, .csv), along with text files and data with x, y coordinates. We'll explore street files available from the library along with optional interfaces for the geocoding process. Prior experience with ArcGIS Online or ArcGIS Pro will help a student navigate the interface but is not required. 

 

Apr 15, 2021, 4:30pm-7:00pm
Instructors:  Bonni Wittstadt Marley Kalt Peter Lawson

Python is a popular programming language that is used for data management and analysis, web development, software development, machine learning and artificial intelligence.  Although we will not be going quite that deep in this introduction, this JHU Data Services workshop will provide users with the fundamentals necessary to get started using Python. This workshop is heavily hands-on and will have users feeling comfortable coding and confident enough to leap from beginner to intermediate and beyond in no time. Students should expect to:  instruct the computer to accomplish tasks, use variables to contain content, learn new Python vocabulary, write and run calculations, and conduct overall data analysis/manipulation using Python’s base functionality.

Apr 21, 2021, 9:30am-12:30pm
Instructor:  Peter Lawson

Note: This is a two-day, 3-hr workshop on 4/21, 9:30 - 12:30 pm (Part A) AND 4/22, 9:30 - 12:30 pm (Part B).

Prerequisite: Data Visualization in R or moderate experience using R.

Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.

Apr 21, 2021, 1:00pm-3:30pm
Instructor:  Marley Kalt

Do you work with data in spreadsheets? Are you tired of editing spreadsheets cell-by-cell to clean your data? This JHU Data Services workshop will teach you how to clean and standardize your data efficiently and reproducibly using OpenRefine. OpenRefine is a free, open source tool with a graphical user interface (GUI) to clean and organize data - no coding required! This workshop will start with an overview of OpenRefine and what it means to have "clean" data. Instructors will provide a dataset and lead a hands-on tutorial to show common data cleaning steps in OpenRefine. The workshop will focus on cleaning text-based spreadsheets to prepare data for further analysis. 
 

Apr 27, 2021, 4:00pm-6:00pm
Instructor:  Bonni Wittstadt

Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This JHU Data Services will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application.

Apr 28, 2021, 9:30am-5:00pm
Instructors:  Chen Chiu Marley Kalt

Prerequisites: Some programming experience recommended (beginner level, preferably but not limited to R or Python) for the Jupyter Notebooks, RMarkdown and Git/GitHub sessions.  

What is reproducible research and how can I make my research and code reproducible? In this one-day workshop with JHU Data Services, learn how open tools like R Markdown, Jupyter Notebooks, Git and GitHub can help make your research reproducible. Join JHU Data Services for this full-day workshop about concepts and tools for doing reproducible research. This workshop will be split into four separate interactive sessions: “Introduction to Reproducible Research,” “Getting Started with Jupyter Notebooks,” “Getting Started with RMarkdown” and “Version Control: Using Git and GitHub.” Sessions are run independently of each other. You may attend all sessions or only those that fit your interests. 

 

Workshop schedule:  

9:30-10:30am: Introduction to Reproducible Research (Required)

A brief introduction to reproducible research. What is reproducible research? Why is it important? This session provides several good and not so good examples of reproducible research. We also provide several tips and useful resources for you to start making your research more reproducible.   

10:45-12:15pm: Getting Started with Jupyter Notebooks (Optional)

You are already writing comments for your Python code so you may be wondering why you need to document code with a Notebook tool, such as Jupyter Notebooks. Notebook tools help you document and share your work with fellow Python coders, non-coders or non-Python coders. This workshop will teach you the basics of using Jupyter Notebooks and will focus on the features of Jupyter Notebooks that help you create reproducible research and code for technical and non-technical audiences. Many Python users choose to document and share code with Jupyter Notebooks, but this tool can also be used with other programming languages, including Julia and R. You can find examples of Jupyter Notebooks here.  

1:30-3:00pm: Getting Started with RMarkdown (Optional)  

You are already writing comments for your R code so you may be wondering why you need to document code with a Notebook tool, such as RMarkdown. You can find several RMarkdown examples here. Notebook tools are particularly useful when you share your code and analysis with non-coders or non-R coders. RMarkdown can help you create interactive web document with text, code and results of executing that chunk of code all in one place. Many R users choose to document and share code with RMarkdown, but it can be used to document scripts writing in other programming languages, such as Python and SQL.  

3:30-5:00pm: Version Control: Using Git and GitHub (Optional)  

Do you use different file names to track versions of your files? Are you wondering why everyone else is using GitHub? Do you comment out a chunk of code to test out code or debug? Do you want a system that can do version control automatically for you? If you answer yes for any of the questions above, then you should take this session to learn version control with Git and use GitHub as a git-hosting platform. We use a graphic user interface (GUI) tool, GitHub Desktop, to get your started with using Git and GitHub. No knowledge of command lines is needed for this session.  

 

Register once here for access to all four sessions.   

May 18, 2021, 1:00pm-3:30pm
Instructors:  Bonni Wittstadt Marley Kalt Peter Lawson

Python is a popular programming language that is used for data management and analysis, web development, software development, machine learning and artificial intelligence.  Although we will not be going quite that deep in this introduction, this JHU Data Services workshop will provide users with the fundamentals necessary to get started using Python. This workshop is heavily hands-on and will have users feeling comfortable coding and confident enough to leap from beginner to intermediate and beyond in no time. Students should expect to:  instruct the computer to accomplish tasks, use variables to contain content, learn new Python vocabulary, write and run calculations, and conduct overall data analysis/manipulation using Python’s base functionality.

May 19, 2021, 5:00pm-6:00pm
Instructor:  Marley Kalt

Data management plans (DMPs) are increasingly required in the grant proposal process, particularly for research funding from federal agencies. In this 1-hour workshop with JHU Data Services, learn how the free, online DMPTool (https://dmptool.org/) can help you organize your data management plan and tailor plans to your funder’s requirements. We will discuss the main components of an effective data management plan, how JHU Data Services can help with DMPs, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty, postdoctoral researchers and graduate students from all disciplines. Learn more about JHU Data Services and our DMP consultations at https://dataservices.library.jhu.edu/consulting/.  

May 25, 2021, 1:00pm-2:30pm
Instructor:  Chen Chiu

Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share.  Join JHU Data Services for an overview of best practices including backup procedures, tips on effective file names, data security and access controls, and data documentation/metadata. This seminar is for faculty, postdoctoral researchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis tool (e.g. REDCap, SPSS), but discusses data management at a general level.