There is increasing pressure from top journals and grant agencies to include supporting research data at time of publication, however the burden of storage and accessibility often falls to the researcher. This session will cover how you can use GitHub and the Open Science Framework to open up your research, as well as connect your publications with the corresponding data.
A literature review is an integral part of both scientific research and scientific writing. In this workshop, we will discuss the different types of literature reviews you might come across, as well as best practices to ensure your own literature reviews will be successful.
In this session we will provide an introduction to the range of Geographical Information System (GIS) platforms and resources supported by the GIS team within Data Services including ARCGIS, QGIS, and Carto.
Learn to use R to create vivid, intriguing, and informative statistical graphics
Dibner Librarians invite you to join us for breakfast on Wednesday, October 11, 2017 in room LC 400!
Come have breakfast, discuss with us your projects, and take care of any research to-do list items. We’ll have engineering librarians as well as representatives from NYU Data Services who can help get you (re)oriented to our resources, get you started with citation management tools, and help you get the most out of our collections and services. This informal event is taking place from 9:00am – 11:00am. You can come and go as you like during that time.
Can’t join us for this Research Breakfast? Come to the next one at the Bobst Library in Manhattan on Tuesday, November 7, 2017, 10:00am – 12:00noon in the 10th floor Graduate Student Exchange
This workshop introduces the basic concepts of Git version control. Whether you’re new to version control or just need an explanation of Git and GitHub, this two hour tutorial will help you understand the concepts of distributed version control. Get to know basic Git concepts and GitHub workflows through step-by-step lessons. We’ll even rewrite a bit of history, and touch on how to undo (almost) anything with Git. This is a class for users who are comfortable with a command-line interface.
The tutorial is designed to cover data management tools such as merging and reshaping datasets, conditional statements, and beginner loops and user written functions. Attendees are expected to have understanding of basic concepts of R objects and functions and should have used R on their own previously.
A hands-on introduction to using Slurm aimed at NYU High Performance Computing (HPC) users with knowledge of Linux.
In this workshop, intended for engineering graduate students, we will explore various databases and resources for engineering research like IEEE and Web of Science. We’ll concentrate on how and where to use key tools, how to be most efficient and effective in your searching, and how to create systems and workflows that support your work. By becoming adept at these things, you’ll have more time and energy to concentrate on the content of your work.