HITS

The Data Management Skillbuilding Hub contains resources for better data management and is open to community input and update. These resources are adaptable across a range of contexts and intended for use by researchers, teachers, librarians, or anyone who wants to learn better data management practices. Each tile below contains a lesson in slide format with annotations, a one page handout that distills the main message, and a hands-on exercise. 

Also see the data life cycle at DataONE.

This interface can view .qza and .qzv files directly in your browser without uploading to a server.

QIIME 2 View (or q2view for short) is an entirely client-side interface for viewing QIIME 2 artifacts and visualizations (.qza/.qzv files respectively). This means that you do not need to have a working QIIME 2 installation to inspect QIIME 2 results. It also means that the files you provide are not sent beyond your browser. In other words, this entire site functions without a server (which makes it very inexpensive to operate).

Additionally, q2view supports viewing externally hosted files, which means you can provide a link to your file (for example on Dropbox) and q2view will automatically download and display it. Better yet, the resulting pages are themselves shareable, so if a collaborator does not have QIIME 2, you can simply upload your results and share your q2view links with your collaborator. q2view will automatically fetch your results and display them to your collaborator.

This is an Open Educational Resource written on the PressBooks platform. This textbook has great resources and concise chapters you can assign to students.

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is a sibling organization of Software Carpentry. Where Software Carpentry teaches best practices in software development, our focus is on the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are domain specific, from life and physical sciences to social science and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.

Since 1998, Software Carpentry has been teaching researchers the computing skills they need to get more done in less time and with less pain. Our volunteer instructors have run hundreds of events for more than 34,000 researchers since 2012. All of our lesson materials are freely reusable under the Creative Commons - Attribution license.

The Software Carpentry Foundation and its sibling project, Data Carpentry, have merged to become The Carpentries, a fiscally sponsored project of Community Initiatives, a 501(c)3 non-profit incorporated in the United States.

swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!