This class introduces the use of BioMart for searching Ensembl datasets using complex queries without programming skills. Hands-on examples during the class include downloading genomic sequence, associating genes with variants, and locating genes by region, gene ID, phenotype, and gene ontology.
Scanned map images can often provide a historical basemap upon which to layer contemporary data. Georeferencing is the process of aligning a map image to its proper location on the earth’s surface. Through a series of hands-on exercises we will explore the ins and outs of georeferencing map images. We’ll make use of the tool set available in ArcGIS Pro software and also try out the an open source georeferencing product that is freely available over for Internet. Participants will practice with Baltimore disease maps from the early 1900s and learn to upload their results to ArcGIS Online. There is no required perquisite for this class. Previous experience with ArcGIS Desktop or ArcGIS Pro will prove highly useful.
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 Management Services for an overview of techniques for assessing 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 identifier data secure during and after projects.
PubMed is the National Library of Medicine's database that provides access to over 24 million biomedical citations and offers links to many online publications and related articles. Learn how to customize a searching experience using Display Settings and MyNCBI. Learn about using Citation Matcher to locate incomplete citations and how the Search Details, Advanced Search, Search History and Send To features can assist in creating searches and managing results. Learn to build expert search strategies with the Medical Subject Headings (MeSH) Database, save search strategies and set up alerts via MyNCBI, and how to access Welch electronic journal holdings or request articles through FIND IT @ JH.
This class is designed to introduce methods that demonstrate the impact research has on the larger research community. Topics such as finding the h-index of an article, methods to discover how many times your article has been cited by others, and alt metrics will be discussed.
Learn to save time finding literature and data sources for public health research. We provide the tools to efficiently search databases of peer reviewed literature and key resources. Discover additional websites and resources helpful for finding government, agency, and NGO reports.
Looking to supplement the information for patients found in EPIC? This class will demonstrate the patient education resources available through the library’s resources such as Dynamed, ClinicalKey, Nursing Reference Center, and UpToDate. Also included will be demonstrations of free resources found on the web and how to teach patients to evaluate the quality and authority of the sources they find.
This 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.
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. Johns Hopkins Data Management Services of the Sheridan Libraries provides researchers guidance on data management planning and archives JHU research data for public access through the JHU Data Archive. Join us 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.
Prerequisite: Introduction to ArcGIS (Welch half-day workshop). Learn the steps required for 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, dBase, Access), 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.
REDCap is a clinical data collection tool, widely used by the researches at Hopkins medical campus and many clinical and translational studies researchers worldwide. It is a secure, HIPAA complaint web-based application and the data in REDCap easily downloads to Excel SPSS, SAS, Stata and R for analysis. (REDCap is available to the JHMI faculty and staff. Students can request an account if they are participating in a faculty mentor's project.)
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.
What comes to mind when you hear the term network? The Internet? Facebook? Multiple computers sharing information? There was a whole realm of scholarship where researchers explore the patterns of interaction in and among networks in their many forms. Network analysis is a research method that scholars in disciplines from public health, to business, to sociology and more use to explore and visualize relationships between objects, entities, or people. In this workshop, we will take an introductory look at this concept and the basic underlying components of the method as well as discuss some ways that researchers are currently using the method. We will also identify types of online tools and software, discuss how to choose the best option for you, and construct a basic data set in excel. Finally, time permitting, we will have a short demo of a network analysis visualization tool. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along.
What is the open science movement and what does it mean for me as a researcher? In this workshop we will look at the growing importance of open science and explore the issues surrounding making research and data open. As we discuss definitions, strategies, barriers, and incentives to open research we will also begin to take a look at tools that assist users in working in a transparent and reproducible manner. Specifically we will demo the Open Science Framework (OSF), a free, open source, online research project management platform where you can create a personal JHU affiliated account, manage multiple projects, and collaborate or share with other researchers. A prime example of a service that promotes reproducibility, we will share more about ways that you can use the OSF to position yourself as a proponent in the open science movement.
Maps have always been a way to tell stories about people, places, and their interaction on the surface of the earth. In this session, learn to use Story Maps, an ArcGIS online application, to bring a research story alive. In this hands-on session, integrate maps, text, scanned documents and videos. Have the opportunity to share a resulting Story Map with any group or individual, or save for later work.