Research Resources

Science Signaling Research Resources are a type of research added to the journal in August 2010. These articles describe nonhypothesis-driven research, validated new methods or tools, or validated signaling-relevant data set(s) without necessarily presenting investigation of a new biological question. These will be selected from the Research Article submissions. A submission with more investigation and insight into a biological question will be considered as a Research Article. A submission presenting a validated technique, tool, or informational database without substantial analysis resulting in new biological insight will be considered as a Research Resource. We expect that whether a paper is published as a Research Article or as a Research Article will be ultimately decided by the editors with input from the Board of Reviewing Editors and the referees.

Research Resources describing new tools or techniques should include appropriately controlled validation experiments. Omic data sets must be validated and generally must represent analysis of biological replicates with technical replicates where appropriate. All Research Resources should be of broad interest to the signaling research community and be expected to lead to important and substantial advances in understanding regulatory phenomenon in subsequent studies.

Research Resources have the same format as Research Articles and will follow the same review process as a Research Article (editor evaluation, Board of Reviewing Editor evaluation, and in-depth peer review). Authors wishing to submit a manuscript for consideration should refer to the instructions for authors of a Research Article and may indicate that they would like their manuscript considered as a Research Resource in the cover letter.

Authors of manuscripts submitted as Research Articles that are deemed more appropriate for the Research Resource section will be contacted by the editors.

An example of the proper citation format for a Research Resource is shown below:

D. Schwartz, G. M. Church, Collection and Motif-Based Prediction of Phosphorylation Sites in Human Viruses. Sci. Signal. 3, rs2 (2010).