Good enough data and project management practices

A workshop

https://teacherhead.com/2017/02/27/reinventing-the-wheel-again/

About the workshop

Best practices in any field can be hard to implement, especially for people early in their career. And data management is often learned through trial and error. So what data management practices are both useful and “good enough” (Wilson et al., 2017) to have an impact on your work? What are the first steps you can take to make your data more FAIR (Wilkinson et al., 2016)? How can these practices improve your data lifecycle and/or pipeline (e.g., data use and re-use within and between labs)?

This workshop will provide a set of practices that can make data management and data sharing easier taught by local experts who have helped many researchers with related challenges.

Alaina Pearce, Briana Wham, and Ana Enriquez will lead the workshop.

More details about the schedule and the faculty can be found by following the links.

Location and time

Dewey Room, University Libraries

Dewey Room
Penn State University Libraries
University Park, PA

March 27, 2024
8:30 am - 2:00 pm

Register!

The workshop is open to all researchers, especially graduate students and postdoctoral researchers, but space is limited.

Note

We have hit the maximum number of pre-registrations we can take for the workshop.

If you wish to be added to the waiting list, please email Rick Gilmore .

See updated information about the registrants here and here.

Support

This workshop is made possible by financial support from the National Science Foundation (IGE 1955049).

References

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K. (2017). Good enough practices in scientific computing. PLoS Computational Biology, 13(6), e1005510. https://doi.org/10.1371/journal.pcbi.1005510