De-identifying Human Subjects Data for Sharing

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. <Register here>

Students will create a great story using one of the Story Maps web app templates.  Using the Story Maps templates allows a user to create an interactive web presence for their data without knowing any HTML, CSS, or Javascript. Students will be given a hands on exercise to work on after the workshop where they will integrate maps, text, scanned documents and images.  You’ll have the opportunity to share your resulting Story Map within the  group or individual you choose or keep it to yourself for later work. No previous experience required. <Register here>

Note: Please register here first and your instructor will contact you with a Zoom link to access this webinar.

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. No prior knowledge of GIS is needed to take this introductory workshop. <Register here>

Note: Please register here first and your instructor will contact you with a Zoom link to access this webinar.

With researchers increasingly encouraged or required to share their data, preparing to share datasets with confidential identifiers of people and organizations is particularly challenging. Join JHU Data Services for an overview of techniques for assessing research subject’s privacy disclosure risk and hiding personal identifiers and Protected Health Information in quantitative and qualitative data, in compliance with IRB and HIPAA guidance. We also discuss preparing consent forms that facilitate data sharing, and keeping data with identifiers secure during and after projects. <Overview><Register here>

Python is a popular programming language because its “easy to read”. It can be used for web development, software development, machine learning and artificial intelligence. Although we will not be going quite that deep in just 3 hours, this workshop will provide users with the fundamentals necessary to get started using Python. Its heavily hands-on approach will have users feeling comfortable coding and confident enough to leap from beginner to intermediate and beyond in not time. Students should expect to: Instruct the computer to accomplish tasks and use variables to contain content, learn new Python vocabulary, write and run calculations, and conduct overall data analysis/manipulation using Python’s base functionality. <Register here>