Open Access Week

Open Access Week Banner
Impact_2!
5-day Impact Challenge!

We're hosting a 5-day Impact Challenge during Open Access Week specifically designed for graduate students, postdocs, and early career researchers. Every week day, participants will receive an e-mail with instructions to complete one small task. These daily tasks will help them:

  • Curate their online presence
  • Make their work more discoverable
  • Leverage social media to make connections and get the word out about their work
  • Track citations and other mentions of their scholarship
  • Find disciplinary research networks online
 
Sign up for our 5-day impact challenge!
 
 
 
OA Week 1

An API, or Application Programming Interface, is a way for one program to communicate with another. In this workshop, we will use the Python programming language to explore an API, reasoning about what data is available and extracting it for use in projects or to answer research questions.

Participants should bring a laptop with a version of Python 3 installed, preferably Anaconda. Anaconda can be downloaded here:

https://www.anaconda.com/distribution/

While some familiarity with Python may be a help, knowledge of the language isn’t necessary for this workshop.

Register at https://events.columbia.edu/go/openAPIs

OA Week 4

Sharing your research with the world doesn’t have to cost thousands of dollars! In this workshop, you’ll learn about free options to help you get the word out about your scholarship—whatever form it takes! We’ll dive deep into disciplinary repositories, pre-print servers, and our institutional repository as we explore ways to grow your readership and increase the impact of your work.

Register at https://events.columbia.edu/go/APCfreeOA

OA Week 2

Find out how to manage copyright to maximize your control of your own work—before you sign that publishing agreement, and even long after you’ve signed!

Register at  https://events.columbia.edu/go/AuthorRights

OA Week 3

Hands-on introduction to Geographic Information Systems (GIS) using the free and open-source QGIS platform. We will discuss spatial data models, spatial analysis, working with projections, finding your own data and making maps. A limited number of computer terminals are available in the lab, attendees may choose bring their own laptop with QGIS installed (https://qgis.org/en/site/).

Register at  https://events.columbia.edu/go/QGIS

Open Challenge