Monthly Archives: September, 2014

Data Management Workshop Series

The final component of the Fall Data Workshop series are three workshops on aspects of data management, presented by Ryan Womack, Data Librarian, and Aletia Morgan, Research Data Manager at Rutgers University Libraries.

To go directly to the registration page for this series, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

Data management workshops for Fall 2014 will be held in Room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Thursdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Description of Workshops:

§ Best Practices for Managing Your Data  (Oct 9)

This workshop is targeted to graduate students who are generating data for their own research.  The session discusses methods to organize, describe, backup, and archive your research data in order to ensure its future usability and accessibility.  Developing good habits for handling your data from the start will save time and frustration later, and increase the ultimate impact of your research.

Additional data management resources can be found here: http://libguides.rutgers.edu/datamanagement

§ Data Management Plans, Data Sharing and Archiving (Oct 23)

This workshop is targeted to researchers who need to write data management plans (DMPs) and share their data as part of their grant application, research and publication process.  It reviews DMP guidelines, checklist, and general advice, along with options for sharing and permanently archiving research data.

§ Reproducible Research (Oct 30)

The workshop is targeted to any interested faculty and students who are interested in learning about the growing interest in making the products of research accessible and usable by others in order to verify, replicate, and extend research findings.  It reviews how to plan research, to create publications, code, and data in open, reusable formats, and maximize the impact of shared research findings.

Register for the workshops here

Data Viz and other techniques in R

Registration is now open for the remainder of the continuing Fall Data Workshop series, presented by Ryan Womack, Data Librarian.

To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

All workshops for Fall 2014 will be held in Room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Room 413 has R installed on its workstations.  You are also welcome to bring your laptop if you want to follow along with the exercises, but this is not required.

If you can’t make the workshops, or would like a preview or refresher, screencast versions of many of the presentations are already available  at http://libguides.rutgers.edu/data.  Additional screencasts will be added for the newer workshops in the series.

Description of Workshops:

§ Data Visualization in R (Sept 30, Oct 7, Oct 14) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R.  Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  The three parts are:

(Sept 30) Part I – Principles & Use in lattice and ggplot2: discusses classic principles of data visualization (Tufte, Cleveland) and illustrates them with the use of the lattice and ggplot2 packages.  Some of the material here overlaps with Intro to R, pt 2, but at a higher level.

(Oct 7) Part II – Miscellany of Methods: illustrates a wide range of specific graphics for different contexts

(Oct 14) Part III – 3-D, Interactive and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets

Additional R resources can be found here: http://libguides.rutgers.edu/data_R

R is freely downloadable from http://r-project.org

§ Time Series in R (Oct 21)

Review of commands and techniques for basic time series analysis in R

§ Survival Analysis in R (Oct 28)

Review of commands and techniques for basic survival analysis in R

Register for the workshops here