Why does getting your data into analysis ready shape have to be such a time consuming process?
How do you overcome computing limitations when working in various countries?
This week, Rory is joined by Hugh Shanahan, Professor at the Royal Holloway University of London, to address some of these questions.
Some of the questions that Rory and Hugh mention are at the forefront of researcher's minds. As we move from an age of paper records to one where digitilization demands the proper management of data and associated sharing practices, the focus is starting to shift away from stand-alone articles to how we can make better use of all the data that researchers are producing. The puzzle is complex: how do we get researchers to engage with new principles and requirements of data management without making it all seem like an extra burden? How do we equip researchers with the tools they need to not only succeed, but thrive, in a new era of digital data management?
In this episode, Hugh brings his unique expertise of bioinformatics and Open Science to the table, and shares his remarkably interesting journey thus far, and how it lead him to his interest in the research data "pipeline" from start to end.
Hugh and Rory go on to discuss some of the issues with data analysis and the research workflow that can impede progress and cause frustration for researchers, and how remote computing solutions such as EOSC (European Open Science Cloud) and GOSC (Global Open Science Commons) might be part of the solution. Hugh also mentions challenges associated with designing a training program focused on promotion of FAIR principles, and ultimately how important it is to create networking and training opportunities for data stewards and researchers.
Rory and Hugh discuss some of the work being carried out by national and international organisations with a focus on shifting the paradigm away from closed practices and towards more open and refined research data management and sharing practices.
Join us for the rest of the conversation, and find out more on how the Open Science movement is transforming the way we use data.