Researchers

Finding & Evaluating Open Data

Introduction to finding and evaluating Open Data by NYU DataServices.

Five selfish reasons to work reproducibly

And so, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you! Here, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, …

Genomics Workshop Overview

Workshop overview for the Data Carpentry genomics curriculum. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches …

Geospatial Workshop Overview

Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Interested in teaching these materials? We have an onboarding video available to …

Harry Potter and the Methods of Reproducibility

"Harry Potter and the Methods of Reproducibility -- A brief Introduction to Open Science" gives a brief overview of Open Science, particularly reproducibility, for newcomers to the topic. It introduces the concept of questionable research practices …

How to Use OSF as an Electronic Lab Notebook

This webinar outlines how to use the free Open Science Framework (OSF) as an Electronic Lab Notebook for personal work or private collaborations. Fundamental features we cover include how to record daily activity, how to store images or arbitrary …

Image Processing with Python

This lesson shows how to use Python and skimage to do basic image processing. With support from an NSF iUSE grant, Dr. Tessa Durham Brooks and Dr. Mark Meysenburg at Doane College, Nebraska, USA have developed a curriculum for teaching image …

Intro to Calculating Confidence Intervals

This video will introduce how to calculate confidence intervals around effect sizes using the MBESS package in R. All materials shown in the video, as well as content from our other videos, can be found here: https://osf.io/7gqsi/

Intro to R and RStudio for Genomics

Welcome to R! Working with a programming language (especially if it’s your first time) often feels intimidating, but the rewards outweigh any frustrations. An important secret of coding is that even experienced programmers find it difficult and …

Introduction to Cloud Computing for Genomics

Data Carpentry lesson to learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. The cloud is a fancy name for the huge network of computers that host your favorite websites, stream …