Access the full text.
Sign up today, get DeepDyve free for 14 days.
Neuroinform (2015) 13:131–132 DOI 10.1007/s12021-015-9268-3 EDITORIAL Erik De Schutter Published online: 9 April 2015 Springer Science+Business Media New York 2015 A recurring theme in our editorials has been the limited suc- made easier to use and find. But surprisingly little has been cess of data sharing in practice: too few neuroscientists share done to help motivated neuroscientists organize their data in 1 7 their data or models. A growing number of stakeholders have such a way that it is ready to be shared, despite the huge become concerned about promoting data sharing, as evi- opportunities for improvement. denced by a recent survey by a major publisher. To improve It is a sad fact that - although most scientific data is ac- data sharing, efforts have been made to encourage more sci- quired digitally - very few research laboratories in academic entists to contribute their data by giving them rewards, like the environments have adopted modern data management prac- citable data paper, or by contacting them personally based on tices. Though it may seem an improvement to the scientist publications listing suitable data and publicly listing both involved, there is really not much difference between having available and unavailable data,
Neuroinformatics – Springer Journals
Published: Apr 9, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.