Rise of the Machine Readers: What They Really Want to Read
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.
In today’s Kitchen Essentials post, Alice Meadows interviews Matt Buys and Helena Cousijn, respectively Executive Director and Director of Community Engagement for DataCite.
What does it take to research and develop a new product? Here we describe a recently launched service, DataSeer, and share top tips from its founder, Tim Vines.
A new set of courses in research data management is being offered to librarians. Todd Carpenter talks with the founders of the RDMLA to find out more.
This guest post about training and other resources for open research is authored by Fiona Murphy, Nicky Agate, Amy Price, and Stephanie Hagstrom, members of the Steering Committee for Force 11 Scholarly Communications Institute.
What constitutes peer review of a data set?
An interview with MIke Rossner, former Director of Rockefeller University Press.
As communications in science begin to incorporate data elements more routinely, the standards for describing these, versioning these, and preserving these have to be considered. And we will all have to learn how to use data labeling processes correctly.