The 2017 Better Science through Better Data event in London, UK, hosted by Springer Nature and Wellcome, was a full day exposé of emerging open data practices, tools, strategies, and policies. Among the potential benefits of open data are replicability, reproducibility, and reusability. While open data is a relatively new hype, some evidence suggests that open data does indeed increase reproducibility.
In today’s cut-throat world of grants and publications, being an early career researcher (ECR) can feel more than a little daunting. As an ECR myself, I can’t guarantee that this will help you make it to the other side unscathed. But I’m still here, and if you’re reading this, you probably are too. Outlined below are the things I’ve learnt during the ups and downs of post-PhD life.
As a global population we are generating more data than ever before. The International Data Corporation (IDC) estimates that by 2020 over 80 million gigabytes of data will be produced every minute. Each second, the world will generate enough data for a 50-year-long Netflix binge. Scientific investigation is a big part of that: every day huge amounts of data are generated on everything from the behaviour of supernovae to the 3D structure of proteins in the brain. When the world’s largest radio telescope comes online in 2020, it alone will produce 180,000 gigabytes of data a minute.
Previously, most of this scientific data would never be made public — the need to produce a compelling story for a journal article means that many datasets showing ‘negative’ results will never be published.
Better Science through Better Data writing competition winner Katie Ember
Every Monday in the University of Edinburgh’s School of Chemistry, the Campbell group gather in Room 233 for a lab meeting. If you’re hosting the meeting, you bring cake. Or you forget and everyone pretends they’re not feeling a bit hungry and disappointed. Then, two scientists in the group present that month’s work.
Every Friday in the Centre for Regenerative Medicine, a fifteen minute cycle from the School of Chemistry, the Forbes group file into the first floor meeting room. After battling with the “motion-activated” lights, we all talk through what we’ve achieved that week.
The reason I go to two lab meetings in one week is because I’m attempting to detect liver damage using laser light. It’s multidisciplinary and it’s hard: requiring input from biologists, physicists and transplant surgeons from different institutes. The end result is that I spend about four hours each week not doing science but discussing it. Whilst this may seem like a strange way to do research, I cannot overstate how important it is. Continue reading
Better Science through Better Data writing competition winner Anastasia Greenberg
From Jisc: Many hands make light work
“Information is power. But like all power, there are those who want to keep it for themselves.” Those were the words of Aaron Swartz, a young programming prodigy and the creator of Reddit, in his Guerilla Open Access Manifesto. In 2011, Swartz wrote some code that systematically downloaded millions of academic papers from the JSTOR database onto his computer, which was hidden in a basement closet at the Massachusetts Institute of Technology (MIT). This act of hacktivism resulted in felony charges, with potential for decades of jail time. Swartz hanged himself in 2013.
To some, Swartz’s story embodies the open-science movement, but it is far from clear what his motives for downloading JSOR’s database were, and which, if any, segments of the open science movement Swartz identified with. Continue reading
Are you one of the many PhDs considering a career in data science? I completed a PhD in neuroscience at Stanford three years ago; now I’m a data scientist at Uber. During my time in industry, I’ve found that the skills we develop in graduate school, such as analytical thinking, statistics, communication skills, and – oh yes – tenacity in the face of adversity, make us a great fit for the role.
The co-authorship network of 8,500 doctors and scientists publishing on hepatitis C virus between 2008 and 2012. {credit}Andy Lamb/ Flickr{/credit}
It has been shown that research articles receive more citations when they have their underlying data openly linked to them. With this in mind, it’s time to consider not just the ideological reasons for making research data open, but the selfish benefits of openly sharing data that all researchers can (and should) be taking advantage of.
This infographic can be downloaded under a CC-BY licence here
And as an increasing number of funders mandate data sharing, and publishers start implementing more consistent data policies at their journals, it is worth seriously considering how and why you should make the research data you generate more openly available. Continue reading
By Mila Petrova.
My latest mini-meltdown came after eight years in research employment, at the beginning of Contract No. 17. It came late. I’d lost a couple of thousand GBP from moving out hastily, lived for two months with my mum, moved far from the city of my university to use the affordable seaside lets in winter, and was about to live out of a suitcase in a youth hostel while my “permanent” accommodation became free. Three masters, PhD, top UK University and all. Most read paper of the month and a “will be delighted to hear about your ongoing work” letter from a senior parliamentary official in my inbox.
