This class is part of the Countway Research Data Management Seminar Series
Most of the raw and analyzed data we generate in the lab exists as digital files. Organizing your data in a way that preserves essential research information and ensures long-term value is critical. One of the important components of successful research data management is to establish a filing (or directory) structure for your records. Filing structures enable research processes to be more transparent, make it easier for investigators to determine where files should be saved, and ultimately...
Working with frustrating, unmanaged data? Need to get your data organized and documented? This overview of using the Open Science Framework for managing, annotating, and publishing research data is for you! Managing your data is not only essential for responsible research, it will help your data be findable, accessible, interoperable, and reusable.
Hosted by the Institute for Applied Computational Science (IACS), ComputeFest is an annual winter event of knowledge and skill-building activities in computational science, engineering and data science.
This class is part of the Countway Research Data Management Seminar Series
Good metadata enables you to understand, use, and share your own data now and in the future, and helps other researchers discover, access, use, repurpose, and cite your data in the long-term. It also facilitates long-term archival preservation of the data.
Learn what metadata is, how it applies to your research, and who to contact for assistance.
Sponsored by Harvard Chan Bioinformatics Core (HBC), Harvard Medical School’s Tools and Technology Committee (TnT) & the Harvard Stem Cell Institute (HSCI)... Read more about Introduction to R workshop