Category: reproducibility

We need more carrots: give academic researchers the support and incentives to share data

Making data available for other researchers to find, use, reuse, and reproduce is fundamental to open science, and ultimately makes research more efficient and effective. Yet despite funder policies that encourage and require data sharing, researchers in both the UK and the US report lower percentages of data sharing than the global average. In addition to progressive policies, Grace Baynes […]

What factors do scientists perceive as promoting or hindering scientific data reuse?

Increased calls for data sharing have formed part of many governments’ agendas to boost innovation and scientific development. Data openness for reuse also resonates with the recognised need for more transparent, reproducible science. But what are scientists’ perceptions about data reuse? Renata Gonçalves Curty, Kevin Crowston, Alison Specht, Bruce W. Grant and Elizabeth D. Dalton make use of existing survey […]

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 […]