To request a class, please contact HSLS Data Services.
In this workshop, we will focus on the PCSK9 gene and its connection to LDL levels for participants in the All of Us database.
In this workshop, you will learn how to create a project using concept sets, datasets, and workbooks, and discover how to use code snippets to accomplish more advanced tasks. You'll explore the full potential of the All of Us Researcher Workbench, gain practical skills in creating a project from start to finish, and learn how to use code snippets t...
In this workshop, we will introduce the notion of concept sets and their role in observational research with Electronic Health Record (EHR) data. Whether you're a new user of the All of Us Researcher Workbench or an experienced one, this workshop will provide valuable insights into leveraging the platform to meet your research needs.
If you’ve ever uploaded data or analysis code to a public repository, you may have been prompted to choose a license from dozens of options. But what’s the difference between the GNU license vs. MIT license? What does Creative Commons actually do? And how do licenses interact with copyright and formal Data Use Agreements? This session will explain ...
This workshop aims to empower researchers with the essential skills needed to utilize bioinformatics tools operated through the Command Line Interface. It will cover Unix/Linux shell navigation, FTP transfers, file, and directory management, text editor functions, shell scripting, and data analysis with bioinformatics software.
This class covers the creation of data visualizations using the ggplot2 package in R. This is a flipped class and the third part of a series: Introduction to R; Data Wrangling in R, and Data Visualization in R. Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can vi...
This is a flipped class covering the more advanced topics in R programming for data analysis and the second part of a three-part series: Introduction to R; Data Wrangling in R, and Data Visualization in R. Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can view on...
NIH expects full transparency in reporting experimental details so that others may reproduce and extend the findings. This session will discuss ways to report experimental details including: open dissemination of methodology protocols, pre-registration of study protocols, and publication of registered reports (subject matter: secure & ethical data ...
OpenRefine is a powerful, free, open source, tool for working with messy tabular data. It runs offline in a web browser and allows for reproducibility in data cleaning. This is a hands-on workshop.
Audience: Faculty, Staff, and Students
The FAIR Data Principles are a set of guiding principles to make data Findable, Accessible, Interoperable and Reusable. In this session, we will review these principles, discuss the challenges of data sharing, and offer practical tips for how sharing can be integrated into a researchers workflow.
“What's in a name?” When you create a new file, do you give much thought to the name you save it as? This class focuses on best practices for naming files so that they are easily found, understood, and sharable in the future.
Are you curious about version control and project management with Github, but haven't had an opportunity to test out all of its features? Attend this hands-on workshop to work through solo and group exercises that will let you explore tasks like cloning a collaborator's project, making and investigating file changes, and resolving conflicts between...
Join us for a class on the All of Us Researchers Workbench - a cloud-based platform that provides researchers with access to data generated by the All of Us Research Program (AoURP). Led by the National Institutes of Health, AoURP is a longitudinal cohort study to advance precision medicine and improve human health by partnering with one million or...
Join us to learn more about LabArchives Electronic Lab Notebook (ELN) and Inventory. We will start first with LabArchives ELN for a closer look at how you can use our built-in layouts or set up a notebook using other popular structures, including project- and grant-based notebooks, individual researcher-based notebooks, date-based notebooks, and te...
For new users that want to learn how LabArchives Inventory streamlines the organization, tracking, and ordering of lab inventory. Whether you need to order inventory from a vendor or manage your in-lab created materials, LabArchives Inventory provides a simple and customizable solution for your physical inventory management needs. During the sessio...
LabArchives Scheduler is a calendar and scheduling service for the management and scheduling of resources – from desks to lab space or from microscopes to flow cytometers; if you have a resource that you need to manage access to, Scheduler provides an easy and customizable solution for your team. Join us to learn how you can use Scheduler to upload...
This workshop adopts a flipped classroom model, providing you with access to PowerPoint slides, lecture videos, and practice exercises in the workshop guide for self-paced learning. During the class, you will have the opportunity to solve exercise problems with guidance from the instructor. This is the first part of a three-part series: Introductio...
Learn the fundamentals of keeping your data secure and organized through an introduction to the core areas of data management: planning for data management, storage and organization, file documentation, data preservation, and data sharing.
Audience: This class is intended for graduate students and researchers who are working on long-term research p...
The LabArchives Research Notebook begins as a blank slate that is meant to be flexible so that you can customize the structure to complement current workflows. Join this session for a closer look at how you can use our built-in layouts or set up a notebook using other popular structures including: project and grant-based, individual researcher-base...
Join this 60-minute session to learn how the LabArchives suite of products can be used to securely manage research data, your lab's physical inventory, and lab resources and equipment. One account offers you access to all three of these tools and helps your lab to become more organized, efficient, and productive.
Note: the LabArchives suite of pro...
This is a presentation on NIH's new Policy for Data Management and Sharing (DMS Policy) that went into effect January 25, 2023. This Policy requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. The Policy includes an expectation that researchers will maximize the...
The NIH Policy for Data Management and Sharing (NIH DMSP) went into effect on January 25, 2023 and requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared.
Audience: Any NIH-funded researcher
This is a presentation on NIH's new Policy for Data Management and Sharing (DMS Policy) that went into effect January 25, 2023. This Policy requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. The Policy includes an expectation that researchers will maximize the...
Are you applying for a NIH R01 grant with an upcoming deadline? Do you need help finalizing your Data Management and Sharing Plan (DMSP)?
Physically or virtually drop-into the library with a draft of your DMSP to receive feedback from a HSLS librarian. Can’t make this scheduled time? No problem; contact Data Services or request feedback through th...
OSF (Open Science Framework) is a free platform for hosting and collaborating on datasets, documentation, and research results to make research more FAIR (Findable, Accessible, Interoperable, and Reusable.) In this workshop, we will tour OSF, discuss the principles of open science in our fields, and work through a sample project together.
Planning is a core component of managing your research data. The planning stage is when you decide how you will name and organize your files, identify who will need access to your data, and ensure that you're accounting for all of the data products your research will produce. In this class, we will work through hands-on planning exercises that you ...
This is a presentation on NIH's new Policy for Data Management and Sharing (DMS Policy) that went into effect January 25, 2023. This Policy requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. The Policy includes an expectation that researchers will maximize the...
This is a presentation on NIH's new Policy for Data Management and Sharing (DMS Policy) that went into effect January 25, 2023. This Policy requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. The Policy includes an expectation that researchers will maximize the...
Sharing your research data allows your peers to validate your findings and build on your results, which is why it's increasingly required by funders and publishers. But many researchers are concerned about the work involved in preparing data for sharing, or worry that they will be scooped by others using their data. Come to this class to learn abou...
Need to find a dataset to act as a control for your study? Or do you want to reuse open access data? This workshop offers tips for locating and citing data, and includes hands-on exercises to explore directories of data repositories and data journals.
NIH's new Policy for Data Management and Sharing (DMS Policy) went into effect January 25, 2023, and requires NIH-funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared.
While broad sharing may not feasible for all datasets, steps can still be taken to share information about t...
Data management and sharing plans (DMSPs) are short documents that outline how a research team will organize, store, preserve, and share their research data during and after data collection. Attend this workshop to learn how DMPTool, a free online resource, can help you write your DMSP, through interactive templates and customized guidance, for gra...