“DataSeer is a newly launched tool, developed by Scholarly Kitchen writer Tim Vines and colleagues. It scans through articles and other texts to look for mentions of related research data; it then annotates the text with suggestions for sharing that data, for example, which repositories might be appropriate. The idea is to substantially improve levels of data sharing by providing much more specific, easy-to-follow guidance about what should be shared, where, and how (e.g., formats). It should help researchers to comply better with data policies, and help editors, publishers, and funders drive compliance more efficiently….”

“DataSeer is a newly launched tool, developed by Scholarly Kitchen writer Tim Vines and colleagues. It scans through articles and other texts to look for mentions of related research data; it then annotates the text with suggestions for sharing that data, for example, which repositories might be appropriate. The idea is to substantially improve levels of data sharing by providing much more specific, easy-to-follow guidance about what should be shared, where, and how (e.g., formats). It should help researchers to comply better with data policies, and help editors, publishers, and funders drive compliance more efficiently….”