Class Type: Data Science

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 team notebooks, to manage shared materials for reference purposes. We will also cover how you can add and manage your data, notebook access controls, collaboration tools, and export options. Afterwards, you will learn how LabArchives Inventory streamlines the organization, tracking, and ordering of lab inventory. We will show you how to customize inventory types and storage locations, add and manage lab inventory items, and use the ordering options to request and receive materials.

In this workshop, we will focus on the PCSK9 gene and its connection to LDL levels for participants in the All of Us database. 

Using Electronic Health Record (EHR) data and provided genomic information, we will showcase a comprehensive approach that encompasses data cleaning and filtering to isolate specific genomic regions of interest. In addition to these preparatory steps, we will conduct a logistic regression analysis, utilizing disease status as the outcome variable and a single genetic variant as the predictor. These analytical skills serve as a solid foundation for future genome-wide association studies (GWAS) and provide a crucial resource for researchers. 

Target Audience: Researchers interested in the application of statistical methods to biological, genetic, and health-related data.

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 about best practices for sharing research data that will help both you and the research ecosystem make the best use of your data. We'll talk about data management and sharing policies, preparing your data for sharing, places to share data, and why "all data are available in the paper" isn't sharing data at all.

This class is 90 minutes to allow participants enough time to complete hands-on exercises and ask questions.

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 can apply in your own data management practice and adapt into a Data Management Plan (DMP) like those expected by funders or the University's new Research Data Management Interim Policy.

If you are currently conducting or planning to conduct research, please bring a description of your research project. We will also have some general scenarios available to work with. This is a hands-on class, so come prepared to talk with your colleagues about the kind of data you work with.

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 the DMPTool as described in this newsletter article.

Registration not required, but if you register, you will receive event notifications.

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 grant or institutional requirements like the NIH Policy for Data  Management and Sharing or the University of Pittsburgh’s Research Data Management Interim Policy. 

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 their data sharing within ethical, legal, or technical constraints, and explicitly encourages researchers to incorporate data sharing via deposit into a public repository into their standard research process. This session will focus on the pieces of information that will help other researchers find and reuse your data: metadata and documentation like READMEs, data dictionaries, and user manuals.

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 their data sharing within ethical, legal, or technical constraints, and explicitly encourages researchers to incorporate data sharing via deposit into a public repository into their standard research process. This session will focus on selecting a repository appropriate to their research discipline and data type for sharing data in compliance with the policy.

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 resources, set reservation rules, invite users, and begin making reservations.

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 session we will show you how to customize inventory types and storage locations, add and manage lab inventory items, and use the ordering options to request and receive materials.