Call for Submissions
High-throughput 3D Screening
Organizer: Dr. Kaylene Simpson (Peter Mac)
Scientific Data is inviting submissions releasing and describing data from high-throughput screens employing cutting-edge 3D cell or tissue culture systems. Screens using a wide range of perturbations will be considered, including chemical libraries or functional genomic screens. Priority will be given to submissions that employ high-content imaging techniques, and which have particular value for methods development in this growing area.
Researchers will be asked to share, in full, any imaging data generated in the course of their screen, along with any other relevant measurements, through one or more data repositories approved by the journal. Researchers will also be asked to openly share any custom data processing code used in the work. Interested authors should contact the journal before submission so that we can advise them on suitable data and code repositories.
Submitted articles may be considered for inclusion in a special article collection to be launched in 2020.
To be considered for publication among the first papers in this collection, manuscripts should be submitted to the editorial office by 31st January 2020; submissions after this date are welcome, and may still be considered for inclusion in this special collection on a case-by-case basis.
Interested in publishing in this special collection?
If you have any questions or would like to make a pre-submission enquiry, please contact the Chief Editor, Andrew Hufton, with appropriate details: email@example.com.
Scientific Data is an open-access, peer-reviewed journal for descriptions of scientifically valuable datasets. Our primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable.