Frequently Asked Questions (FAQ)
1. What is the word or page limit for manuscripts submitted to China Scientific Data?
1. What is the word or page limit for manuscripts submitted to China Scientific Data?
2. How can I change author information after submission?
Before articles are formally published in Zone II, authors can make requests through a written letter or email ( Author information cannot be changed after contributor’s agreement is signed.
3. How can I revise my manuscript after submission?
Manuscripts will enter a review process soon after submission. To facilitate timely feedback, authors should only submit when the manuscript is deemed as the final version. In case of substantial deficiencies or other urgent requests, please contact the Editorial Office at:
4. What's the review process?And what's the differences between zone Ⅰ and zone Ⅱ.
All the manuscripts submitted to China Scientific Data will undergo a rigorous two-tier review process, including an initial review by an editor-in-charge, followed by in-depth peer reviews. Manuscripts that have successfully passed the initial review will be published online in zone Ⅰ. Then, it enters an in-depth review stage, when expert evaluation goes simultaneously with public rating. After the two-tier review process, there goes the voting from the editorial board with at least three members involved. Finally, considering all of the information above, a final decision will be made by the executive editor, including “accept”, “minor revision(s)”, “major revision(s)” or “reject”. Only those successfully pass all review process shall be published in zone Ⅱ.
5. What's the key points in writing a data paper
When preparing a data paper, we suggest the author pay great attention to the following aspects:
(1) Rigor experiment and high data quality
-Whether the data are generated in a rigorous and methodological way or not?
-Credible data validation and quality error analysis
-Sufficient background information (such as spatial and temporal information) according to specific discipline as well as data application suggestions.
(2) Complete storage and open access for datasets
Make sure the data has been deposited in the most suitable, accessible and reliable platform (accredited data repository, e.g., for peer review as well as for long-term reuse.
(3) Integrity of the description
-Sufficient explanations for research method and data processing steps together with data source, process, software aided and data file types allowing for easy reproducing as well as data reuse or integration with other data.
-Standards and conformance for metadata, datasets, other data description as well as data papers.