Data in Concise

Data in Concise provides a way for researchers to easily share and reuse each other’s datasets by publishing data articles that:

• Thoroughly describe your data, facilitating reproducibility.
• Make your data, which is often buried in supplementary material, easier to find.
• Increase traffic towards associated research articles and data, leading to more citations.
• Open up doors for new collaborations.

Because you never know what data will be useful to someone else, Data in Concise welcomes submissions that describe data from all research areas.

Almost any piece of information can be defined as data. However, to merit publication in Data in Concise (DIC) data should be a set of information that are acquired/collected with a scientific method and have value to the research community.

Please note that:

• DIC welcomes all original data that has been produced by the authors at a recognised professional, research or academic institution
• All protocols or methods used to acquire/collect data for a DIC article should adhere to strict ethical guidelines (as outlined in the ‘Studies in humans and animals’ section of the Guide for Authors)
• Data should be owned by the authors
• Secondary data is allowed only under specific criteria as outlined in the next point
• Secondary data is out of the scope for DIC except data collected for meta-analysis, under the following conditions if: 1- it is done using variables that make the study unique; 2- the authors provide the scientific protocol for collecting/creating the data; 3- the collection of secondary data has value to the research community
• Questionnaires/surveys are accepted in DIC when they are: direct, unambiguous, unbiased, the sampling is representative of the population and rigorously follows a scientific method
• Simulated data accompanied with codes are welcome for publication in DIC
• Review articles or supplemental files from a review article are not considered original data and are typically not suitable for DIC
• DIC requires raw data relating to any charts, graphs or figures that are submitted. The raw data must be publicly available, either within the data article (e.g. as a supplementary file) or hosted on a data repository. This enables the data to be reproduced