This week we are proud to announce the official release of Projects for Mac v2.0. Projects for Mac v2.0 is a complete rewrite of the user interface as a Native Mac application which improves performance and stability as well as make the most of some useful Mac features.
This week we released the Projects for Mac v2.0 beta to a select group of users for pre-release testing and feedback. All going well we hope to have this version available for everyone within a few weeks.
For version 2 we have concentrated on getting the same feature set as version 1 but written as a Native Mac application to improve performance and stability as well as make the most of some useful Mac features. Additional features such as sharing and collaboration will come later, as will the Windows version.
What would happen if you lost all of your scientific data? Imagine if you lost four years worth of research data. Now imagine the knock-on effect; you wouldn’t get the PhD you’d been working towards, and your career would be affected thereafter. This nightmare situation actually happened to Billy Hinchen. Hear his story here:
Now, you can:
- upload research data directly to existing figshare collaborative spaces
- create new collaborative spaces from within Projects
- upload directly to your private space as always.
The new Digital Science tool Projects is not only useful for people working in biology, physics and the like. Organising data, references and protocols are also tremendously important in the social sciences. Let me briefly show you how I make use of the new Collections structure Projects offers for my own research in anthropology. Continue reading
Every year, the amount of research data being generated increases by 30%. Worryingly a massive 80% of scientific data is then lost within two decades. With data output growing rapidly, effective data organisation is getting more difficult. At best, poor data management makes experiments hard to replicate and calls findings into question. At worst, papers are retracted, careers are impacted and ultimately science suffers.
Here at Projects, we’ve gathered together some key industry stats into an infographic to show the effect of poor data management in science. Here are the top reasons to protect your scientific data.
In conjunction with Digital Science’s User Lab, we recently ran a user feedback survey for Projects focused on how the application does or does not fit with researchers’ workflows across various disciplines.
Some of the feedback has already been put into practice in the latest version of Projects to provide a (hopefully) useful set of ‘Collections’ in each of your projects.
Earlier this year I guest blogged for Scientific American about my own experience with research data management. If you are terrible at keeping track of your research outputs then you are definitely not the only one and help is at hand!
During my PhD I was never good at managing my research data. If you ask my former PI, I’m guessing she would actually tell you I was pretty bad. So much so, that she had an emergency lab book meeting with the rest of my group upon seeing mine when l was leaving. So it may seem a bit odd that it is now the thing that I probably focus on more than anything else in my work.
From Projects you can now upload your data to figshare, where you can either store it privately and securely in the cloud or, when you’re ready, make your data public. By publishing your data on figshare you will be able to get credit for ‘all’ your research.