We live in the age of Big Data, and the current data boom is changing the way we do science. Data can be reanalyzed in new ways contributing to scientific information and knowledge. Accessible data also plays an essential role in encouraging responsible conduct. Researchers are increasingly sharing their data with the research community and Genome fully supports the goal of making research data available and accessible to everyone. Although data sharing is not mandatory for Genome, we do strongly encourage it.
We believe that research data should be
Findable by both machines and humans, be supported by a unique, permanent identifier and be indexed and searchable.
Accessible to both humans and machines, be stored for the future, and be easily retrievable using a standard protocol.
Interoperable and in a format that is standard, accessible, shareable, flexible, and usable across multiple platforms.
Reproducible to encourage data validation.
What are data?
Genome considers research data to be any data that support the results and conclusions of the published article. This may include raw data, processed data, code, media files (e.g., images, maps, video, and audio), etc. Data may be primary (i.e., data produced by the authors for the study being reported), secondary (i.e., data re-purposed or re-analyzed by the authors and cited from previous works), or additional supporting data.
Whenever possible, Genome
encourages authors to make their data publicly available for all articles reporting original research. Authors can deposit their data in the publicly accessible repository of their choice, or as determined and (or) mandated by discipline, funding source, or institutional requirements. We encourage the author(s) to determine whether or not they are required by their funder or institution to deposit their data in a repository, and for determining the copyright/licensing terms for data held in those repositories. Canadian Science Publishing encourages authors to visit https://www.ncbi.nlm.nih.gov/
, datadryad.org, fairsharing.org, or re3data.org for examples of general and community-specific repositories.
Smaller data sets can be included with the published paper as supplementary material.
Genome recognizes that certain research data cannot be made publicly available, including data sets where individuals could be identified (i.e., the data cannot be anonymized or presented in aggregate) and data sets that contain other sensitive or restricted data. Decisions on whether data are appropriate to be made available rest with the editors. Genome’s editorial team is available to provide guidance in such cases.
Genome supports the inclusion of persistent identifiers that link from the published paper to data sets that are publicly available in repositories. All data sets and program code used in a study must be cited in the paper with a persistent identifier (e.g., DOI and (or) hyperlink). Genome provides instructions and examples for citing and referencing external files in the instructions to authors.
All authors of manuscripts accepted for publication in Genome are required to license the rights to publish the manuscript to the journal’s publisher, Canadian Science Publishing. However, copyright remains with the author(s) or the organization that owns the author(s)’ copyright in the article. This licencing applies to any supplementary materials that are published with the article. For data licencing questions related to individual data repositories, please consult the repository directly.
Data formats and standards
To facilitate interoperability and reusability, Genome recommends that authors adhere to community standards for data formatting, presentation, and file types. In all cases, authors should strive to provide clear labels, descriptive annotations, and detailed metadata to facilitate future use of the data set. Please refer to fairsharing.org for current information on data formats and standards.
At Genome, we believe that open data form an important component of the future of research in the fields of genetics and genomics. We encourage data sharing, and we look forward to seeing how our authors contribute to and utilize the continually growing body of data.