This blog post is apart of the Love Your Data campaign #LYD16, a global and cross-institution awareness campaign for open data, research reproducibility, and research data management. This post features ReproMatch and ReproZip as important tools for achieving reproducibility.
Finding a relevant reporting guideline for a study can be very difficult. Here we introduce a pilot experiment starting for some of the BMC-series journals which aims to overcome this issue.
ReproZip was featured in a post on the Library of Congress's digital preservation blog, the Signal. The author, Genevieve Havemeyer-King, writes "ReproZip is a tool being developed at NYU "aimed at simplifying the process of creating reproducible experiments from command-line executions", and could be something to consider as an alternative to many costly web-archiving services for preservation of internet-based projects and applications."
A presentation by Philip B. Stark of University of California at Berkeley that gives a great 101-style look into what the everyday researcher can do to make their science more reproducible.
A blog post from Philip B. Stark, Associate Dean of the Division of Mathematical and Physical Sciences, UC Berkeley Professor of Statistics, and winner of one of BITSS’ Leamer-Rosenthal Prizes for Open Social Science. This post discuss the core elements of reproducibility; its principles and practices.
Elemental Machines, which develops smart laboratory technology, launched a new suite of tools that that measure environmental variables such as temperature and humidity—both of which are not traditionally accounted for in scientific experiments. By “debugging” the lab environment, the company believes it can improve experimental reproducibility, therefore reducing the time and cost of marketing new drugs and therapies. Elemental Machines recently raised $2.5 million in seed capital to support the development of the new suite of tools, which is called the EM Suite.