Collaborations on The Carpentries

Data Carpentry supports I4OC

Mon, 10 Apr 2017 00:00:00 +0000

This post originally appeared on the Data Carpentry website

Our increasing capacity to collect data is changing how we can look at the world. This data we’re collecting has the most promise when it is accessible to all researchers, for all types of inquiry and wherever people do work and ask questions. Open data not only increases the potential for discovery, but also adds to the research’s impact, resulting in more citations and attention to the work. It is also a fundamental element of reproducible research, allowing others to better understand the research and build on the work that has been done.

Collaborative Lesson Development for Semester-long Courses

Mon, 28 Nov 2016 00:00:00 +0000

This post originally appeared on the Data Carpentry website

When did you realize you belonged to the Carpentry community?

My first encounter with the Carpentry community was early in my PhD training, way back when Software Carpentry was teaching programming lessons using brilliantly narrated videos. I knew then that a basic understanding of computer programming was an important part of a strong career in science. What I didn’t expect was to get inspired by a community of scientists and teachers that promotes openness and collaboration throughout their work.

Reproducible Research using Jupyter Notebooks: Curriculum Development Hackathon

Mon, 21 Nov 2016 00:00:00 +0000

This post originally appeared on the Data Carpentry website

Goal: Develop the content of a two-day Data Carpentry workshop teaching how to conduct research reproducibly using the Jupyter notebook
Location: Berkeley Institute for Data Science (BIDS), Berkeley, CA
Dates and times: January 9 - 11, 2017; 9 am - 5 pm each day
To apply: https://goo.gl/aPO71f; deadline December 5, 2016. Successful applicants will be notified by December 12.

Synopsis

Making science more reproducible has enormous potential to accelerate research advances, including for practicing individuals. Despite this, the tools and approaches that are already available are rarely taught. To address this, we are organizing a 3-day hands-on hackathon aimed at developing, and later teaching, a short-course curriculum on using Jupyter notebooks for reproducible research practices. The event will be held January 9 - 11, 2016, in Berkeley, CA, at the Berkeley Institute for Data Science (BIDS). We aim to assemble a diverse and interdisciplinary group of participants, and invite those interested to apply by December 5, 2016, at https://goo.gl/aPO71f.

Announcing Partnerships

Mon, 02 May 2016 00:00:00 +0000

This post originally appeared on the Data Carpentry website

We’ve been hearing of the interest of organizations to build local capacity for training and to be able run both Data and Software Carpentry workshops. We are excited to announce that Data Carpentry and Software Carpentry are now offering joint partnerships! These partnerships will give member organizations the benefits of running workshops from either the Software Carpentry or Data Carpentry community. At the Silver and above tiers there will also be instructor training and capacity building services provided.

Collaboration with rOpenSci on training for working with open data

Thu, 19 Nov 2015 00:00:00 +0000

This post originally appeared on the Data Carpentry website

Congratulations to rOpenSci for their grant from the Helmsley Charitable Trust! Through this grant, Data Carpentry will be able to work with rOpenSci to develop and deliver lessons on R tools for data sharing, acquisition, retrieval, and visualization to support the use and publishing of open data.

rOpenSci aims to create tools and a community for working with and producing open data. Data Carpentry starts with data, and our goal is to enable researchers to turn data in to knowledge. This joint effort will allow us to provide training on how to work with the increasing amounts of publicly available data as well as how to effectively publish data for reproducibility and re-use. We’re excited about this opportunity and the support of rOpenSci through Helmsley for this effort!