Category: reproducibility

Collaboration and concerted action are key to making open data a reality

The case for open data is increasingly inarguable. Improved data practice can help to address concerns about reproducibility and research integrity, reducing fraud and improving patient outcomes, for example. Research also shows good data practice can lead to improved productivity and increased citations. However, as Grace Baynes reports, recent survey data shows that while the research community recognises the value […]

Starter tips on sharing data and analysis scripts

Researchers are increasingly encouraged to make their data openly accessible and usable for others. To early-career researchers in particular, this can seem daunting, with different considerations when posting data publicly rather than retaining it solely for internal use. Katherine Wood has compiled a short open data starter guide to make the process less overwhelming and help researchers do their bit for […]

Data Science meets Academia

(guest post by Johannes Otterbach) First Big Data and Data Science, then Data Driven and Data Informed. Even before I changed job titles—from Physicist to Data Scientist—I spent a good bit of time pondering what makes everyone so excited about these things, and whether they have a place in the academy. Data Science is an […]

Incentives for open science: New prizes to encourage research integrity and transparency in social science.

The high-profile political science study on same-sex marriage views, now determined to be fraudulent, is the latest case exposing the failure of incentive structures in the academy. The academic community must strengthen research evidence and do more to promote transparency. Temina Madon shares the launch of prizes run by the Berkeley Initiative for Transparency in the Social Sciences (BITSS) that look to provide recognition, visibility and […]

Why perpetuate a 300-year-old anachronism? Reincarnating the research article into a ‘living document’.

Online publication provides us with new freedom to update, amend and extend the research article as we know it. Daniel Shanahan presents a vision of the evolution of the article beyond the limits of the printed page. Creating a living document for a single research project, updated in real time, would lead to it being evaluated based on the question […]

Reproducible computing with rctrack: Software package addresses fundamental scientific challenges of Big Data era.

Published descriptions of data sets and analysis procedures are helpful ways to ensure scientific results are reproducible. Unfortunately the collection and provision of this information is often provided by researchers in retrospect and can be fraught with uncertainty. The only solution to this problem is to computationally collect and archive data files, code files, result files, and other details while the data analysis […]