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RDA members are RDA's greatest asset, and we greatly value their opinions, ideas and experiences. All RDA members are invited to contribute Blogs, telling the community about their experiences during events and meetings or in the context of their individual or organisational activity related to RDA.
Submitting a Blog is simple: just register or login as an RDA member and fill in the form accessible from the “Add new blog” button above.
NB: Blog posts are moderated and, if approved, will be posted within 3 business days.
Following in the footsteps of the Open Science Training Handbook, we share our book sprint success story and some ideas to help with your collaborative writing.
“We’re the bridge builders in the brave new world of data,” the president of RDA mentioned as part of her opening remarks. If RDA community members are the bridge builders, it is important to be cognizant and aware of what is being built – by design – into these systems. The keynote at the RDA plenary 13, Dr. Julia Stoyanovich highlighted the multiple layers embedded in the increasingly popular discussion about the in-built biases in algorithms and machine learning. Is it that there is statistical bias in the model, societal bias in the data, or is it in fact the world is “incorrect”?
On 22nd May 2019, members of the Jisc Open Research Hub team held a webinar in the UK which presented a set of design options around the assigning of more than one licence or access type to a repository deposit. The aim was to get feedback to help the design team decide which approach to develop.
Although the webinar concentrated on the UX aspects on the solution for the Jisc Research Repository, the overall problem that is being addressed is an international one and has cropped up recently at workshops in the UK and overseas.
We all know data should be FAIR—findable, accessible, interoperable and reusable. This has become a rallying cry of our community. It is not a new concept, but the catchy phrasing has given it new visibility and urgency. Nonetheless, most research still has antiquated approaches to data sharing. That is changing in the Earth and space sciences at least.