Sep 29, 2021, 12:00pm-1:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 11

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.

Sep 29, 2021, 12:30pm-3:30pm
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. 

Sep 30, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

Prerequisite: WebMapping: An Introduction to ArcGIS Online.

Attendees will take what they learned from the WebMapping: An Introduction to ArcGIS Online course and use it to analyze data by using various geoprocessing tools currently offered in the online application via the classic viewer.

 

Oct 5, 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.

Oct 6, 2021, 12:30pm-3:30pm
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. 

 

Oct 7, 2021, 1:00pm-2:30pm
Instructor:  Peter Lawson

Do you want to make your scientific publications more impactful? It’s said that a picture is worth a thousand words; a well-designed scientific figure is essential in concisely and clearly communicating complex ideas to your audience. Join JHU Data Services in this workshop session, where we’ll cover design principles and recommended practices for creating effective scientific figures. There is no required prerequisite for this class, but experience preparing scientific figures would be useful.

Oct 14, 2021, 9:30am-10:30am
Instructor:  Stella Seal
Total Seats: 25  Available Seats: 24

PubMed is the National Library of Medicine's  platform that provides access to over 30 million biomedical citations. Learn how to perform basic and advanced searches, create alerts, save results, access PDFs, save searches, and more.

Oct 14, 2021, 11:00am-12:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 23

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.

Oct 14, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

This JHU Data Services workshop will be hands on using ArcGIS Online but students will be provided with directions as to how to geocode using ArcGIS Pro.  Students will learn the concepts required to perform geocoding along with tips and suggestions for preparing data for use within ArcGIS. Common file formats will be discussed, (e.g. Excel, .csv), along with text files and data with x, y coordinates. Prior experience with ArcGIS Online or ArcGIS Pro will help a student navigate the interface but is not required.

 

Oct 15, 2021, 10:00am-11:00am
Instructor:  Lori Rosman
Total Seats: 25  Available Seats: 18

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.

Oct 18, 2021, 10:00am-10:30am
Instructor:  Elisheva Wecker
Total Seats: 10  Available Seats: 9

Have you ever wondered...

  • What is the difference between Medline and PubMed?
  • How do I get my citations into RefWorks?
  • What are the login changes to My NCBI?
  • What is MeSH anyway?

Come to this half hour session to get answers to these questions and any others you have.

Submit your questions in advance or just drop in and we’ll explore PubMed together.

Oct 18, 2021, 12:00pm-1:00pm
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.  
 

Oct 19, 2021, 2:00pm-4:30pm
Instructor:  Marley Kalt

Do you work with data in spreadsheets? This JHU Data Services workshop will teach you how to clean and standardize your tabular 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! The bulk of this 2.5-hour workshop will be a hands-on tutorial cleaning a dataset in OpenRefine.

After taking this workshop, participants will:

  • Understand the common features of messy datasets
  • Be able to carry out several transformations in OpenRefine to clean and standardize data for further analysis
  • Leave with a test project that can be used to practice further data analysis or learn advanced features of OpenRefine, such as working with APIs
Oct 20, 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. 

Oct 21, 2021, 2:00pm-3:30pm
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.

Oct 25, 2021, 2:00pm-2:30pm
Instructor:  Claire Twose
Total Seats: 10  Available Seats: 7

Have you ever wondered...

  • Which database you should search given your research question?
  • How do you get your citations into a citation tool such as RefWorks?
  • How to use advanced search features in databases other than PubMed?

Come to this half hour session to get answers to these questions and any others you have.

Submit your questions in advance or just drop in and we’ll explore searching together.

https://welch-jhmi.libwizard.com/id/f4e4d1a1c350818fae8e372ac2da2601

Oct 27, 2021, 12:00pm-1:00pm
Instructor:  Ivy Garner
Total Seats: 25  Available Seats: 20

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.

Oct 28, 2021, 10:00am-10:30am
Instructor:  Claire Twose
Total Seats: 10  Available Seats: 10

Have you ever wondered...

  • Which database you should search given your research question?
  • How do you get your citations into a citation tool such as RefWorks?
  • How to use advanced search features in databases other than PubMed?

Come to this half hour session to get answers to these questions and any others you have.

Submit your questions in advance or just drop in and we’ll explore searching together.

https://welch-jhmi.libwizard.com/id/f4e4d1a1c350818fae8e372ac2da2601

Oct 28, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

This JHU Data Services half-day course introduces students to the tools in ArcGIS Pro, tools. Learn how to work with spatial data and get an introduction to the most often used geospatial analytic tools. Take this class if you want to learn how to use the many geoprocessing tools.

Nov 3, 2021, 1:00pm-4:00pm
Instructor:  Peter Lawson

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

You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data, and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using R’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular R packages, before diving into creating data visualizations for a prepared dataset using base R and ggplot2. Some prior experience in R is required.  

Nov 4, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

If you have tabular data that you would like to visualize using a GIS but don’t know how to format it correctly, this class is for you. Students will be led through hands-on exercises using both table joins as well as a spatial join. While these exercises are taught using ArcGIS Online, students will receive directions on how to Join data using ArcGIS Pro. Prior experience will help a student navigate the interface but is not required.

Nov 9, 2021, 1:00pm-3:00pm
Instructor:  Marley Kalt

Prerequisites: Participants should be familiar with basic programming concepts, including variable assignment, data types, function calls, and installing packages or libraries. Introductory experience in Python or R will be especially helpful for this workshop.

This beginner-to-intermediate level workshop will introduce you to the pandas library, a popular Python library for data cleaning, data wrangling, and data analysis. Participants in this interactive class will use Jupyter Notebooks software and Python code to import, understand, and prepare a dataset for further analysis or visualization. By the end of this workshop, participants will be able to:

  1. Identify and use the two primary data structures of the pandas library: Series and DataFrame
  2. Implement functions from the pandas library to explore and analyze a dataset, including:
    • Handling missing data
    • Filtering and sorting data
    • Grouping data
    • Calculating basic summary statistics
  3. Find documentation for the pandas library to troubleshoot errors and apply new functions to analyze a dataset 
Nov 10, 2021, 12:00pm-1:30pm
Instructor:  David Fearon

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.

Nov 11, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class 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. 

Nov 12, 2021, 12:00pm-1:00pm
Instructor:  Donna Hesson
Total Seats: 25  Available Seats: 25

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.

Nov 16, 2021, 1:00pm-4:00pm
Instructor:  Peter Lawson

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

You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using Python’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular Python packages, before diving into creating data visualizations for a prepared dataset using Matplotlib and Seaborn. Some prior experience in Python is required.

Nov 18, 2021, 2:00pm-3:30pm
Instructor:  Bonni Wittstadt

Do you need to geocode a lot of addresses?  Have you consumed all of your annual allotted credits in one push of a button?  Do you need to protect the address identities of a research project? This webinar is designed to educate students when it is best to build a locator rather than use a prebuilt locator and how to do so.

Students should expect to:

  • Recognize the need for building an address locator
  • Demonstrate building an address locator
  • Implement use of the newly built address locator
Nov 30, 2021, 2:00pm-4:00pm
Instructor:  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. 

Dec 1, 2021, 1:00pm-4:00pm
Instructor:  Peter Lawson

Note: This is a two-day, 3-hr workshop on 12/1, 1:00 - 4:00 pm (Part A) AND 12/2, 1:00 - 4:00 pm (Part B). You only need to register once but are required to attend both.

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.  

Dec 2, 2021, 4:00pm-6:30pm
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.

Dec 3, 2021, 12:00pm-1:30pm
Instructor:  David Fearon

Prerequisite: De-identifying Human Subject Data for Sharing or reviewing our online resources.

This class builds upon the introduction to privacy protection class, as a next step toward applying techniques for de-identifying several types of personal and health identifiers. We work through case examples and anonymization methods at an "intermediate" level suitable for preparing data for external collaborations and restricted access research databases. We also discuss the more common advanced statistical techniques for anonymization and risk assessment and their use cases, as well as current software options. Note: if you attended our de-identification webinar in prior years, reviewing our online module and guide can prepare you for this session.

 

Dec 10, 2021, 12:00pm-1:00pm
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/.