posted by user: mastell111 || 1479 views || tracked by 2 users: [display]

SDATA 2016 : Scientific Data Call for Papers (Neuroscience) - Nature Publishing Group

FacebookTwitterLinkedInGoogle

Link: http://mts-scidata.nature.com/cgi-bin/main.plex
 
When N/A
Where N/A
Submission Deadline Dec 31, 2016
Categories    neuroscience   research data   data sharing   datasets
 

Call For Papers

Scientific Data is an open-access journal for descriptions of valuable research datasets. The journal aims to promote wider data sharing and reuse, as well as credit those that share their data. Scientific Data is open to submissions from a broad range of scientific disciplines, including descriptions of big and small data, from major consortiums, single labs and individuals.

Find out about submitting today: scientificdatareplies@nature.com

To help you understand the value of publishing with Scientific Data and the quality of datasets that have already been described in your area, we’re pleased to offer a selection of papers relevant to neuroscience, which have been handpicked by our team.

Test-retest resting-state fMRI in healthy elderly persons with a family history of Alzheimer’s disease
Pierre Orban et al.
http://www.nature.com/articles/sdata201543

The mPower study, Parkinson disease mobile data collected using ResearchKit
Brian M. Bot et al.
http://www.nature.com/articles/sdata201611

By publishing your data with Scientific Data your research will benefit from:

Credit – generating citations and gaining recognition for your data
Awareness – enabling data you generate to be available to your peers and community
Discoverability – all papers included in PubMed, PubMed Central, MEDLINE and Google Scholar, as well as being published on nature.com
Reusability – allowing your data to be utilised in future experiments and research
Accessibility – papers and their associated data are published fully open access

Praise for Scientific Data:
“Our experience with Scientific Data was excellent. It does a very good job of filling a much needed niche” United States researcher

“An exceptional experience never had with Editors of other journals” James Adjaye, Heinrich Heine University

“…a fantastic initiative, and has been well executed” Australian researcher

“The detailed guidance meant that I could select the sections most relevant to my data and ensured that all the important information needed was included resulting in a smooth review process” Dr Rachel Hale, National Oceanography Centre, University of Southampton

Related Resources

MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
IJCNN 2019   International Joint Conference on Neural Network
JCL 2018   Journal of Constitutional Law is announcing call for papers (scientific papers) for scholars, experts and students in the field of Constitutional Law
ISNN 2019   16th International Symposium on Neural Networks
ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
Brain Stimulation 2019   3rd International Brain Stimulation Conference
IJIBM 2019   Call For Papers - International Journal of Information, Business and Management
2nd HBP Ethics WS 2018   2nd HBP Curriculum Workshop Series - RESEARCH, ETHICS AND SOCIETAL IMPACT DUAL USE AND RESPONSIBLE RESEARCH. ETHICAL CHALLENGES
NICDL 2018   Nature-Inspired Computation in Data Mining and Machine Learning
DSTAA 2019   Taylor and Francis - DSTAA 2019 : Call for Book Chapters - Data Science: Theory, Analysis, and Applications