Contact Jeff Mortimore at email@example.com to schedule any of the following tutorials as a face-to-face, virtual, or hybrid workshop for your students or faculty.
For additional workshops and tutorials, see the Libraries' Scholarly Communications guide.
Many funding agencies and publishers require that research data be made publicly available as a condition of funding or publication. These slides discuss the basics of data management planning, sharing, and archiving with emphasis on NSF and NIH planning and sharing requirements. These slides review example datasets and discuss strategies for preparing and licensing data for open access.
DMPTool is a powerful online tool for creating, managing, and sharing data management plans. DMPTool includes templates and advice for most major funding agencies, as well as useful collaboration and reviewing tools. Set up your own account and learn the basics of using DMPTool to prepare successful data management plans.
Learn about best practices for preparing your research data for long-term sharing and archiving. Topics include file formats and file management, metadata and describing data, anonymization, intellectual property rights, and licensing for reuse. While emphasis is on tabular data, all data types—including images, audio, and video—are addressed.
Together, Open Science Framework and Digital Commons offer useful tools for managing your research workflows. Keep all your files, data, and protocols in one centralized location. Avoid trawling emails to find files or scrambling to recover lost data. Control which parts of your project are public or private, making it easy to collaborate with the worldwide community or just your team. Publish your data when it is ready to share.
Do you need a home for your "working" research data or a way to securely share data during active research? Learn about tools and techniques for managing your data throughout the research lifecycle. This presentation discussed best practices for preparing data for long-term sharing and archiving, including file formats, file management, data description, anonymization, intellectual property, and reuse licensing.
According to the NIH, data sharing is essential for expedited translation of research results into knowledge, products, and procedures to improve human health. Investigators applying to the NIH for $500,000 or more of direct research costs in any single year are expected to include a plan for sharing their final research data, or state why sharing is not possible. This presentation reviews the NIH's data sharing requirements and how to best prepare your data management plan for successful funding.
SciENcv is a My NCBI application that lets researchers create online professional profiles and assemble information needed for federal grant submissions. With SciENcv, you can document your education, employment, research activities, publications, honors, research grants, and other professional activities as well as create profiles in official biographical sketch formats for the National Institutes of Health (NIH), the National Science Foundation (NSF), and the Institute of Education Sciences (IES). These slides cover the basics of accessing SciENcv; importing information from external systems like eRA, FastLane, ORCID, and Google Scholar; and creating, editing, delegating, and sharing Biosketches.
During this hands-on workshop, we explore challenges and best practices related to research data management. Working in groups, participants perform a rudimentary data analysis and create figures and tables capturing the correlation between Gummi Bear flavor and "springiness." In the process, participants explore different kinds of research data and discuss manipulation, analysis, visualization, reporting, and sharing data for different audiences. This workshop is a precursor to discussing data management planning, especially as it relates to grant funding and publisher requirements. Specific skills covered include creating basic charts in Excel and figures in PowerPoint and Word.