Scientific Data, hosted by Nature Publishing Group, has recently been added to the MSK Library collection. The journal is an open-access, online-only publication for descriptions of scientifically valuable datasets.
Scientific Data’s main article-type is the Data Descriptor: peer-reviewed, scientific publications that provide an in-depth look at research datasets. Data Descriptors are a combination of traditional scientific publication content and structured information curated in-house, and are designed to maximize reuse and enable searching, linking and data mining. Each is peer-reviewed under the supervision of the journal’s Editorial Board. Scientific Data aims to address the increasing need to make research data more available, citable, discoverable, interpretable, reusable and reproducible.
Scientific Data is founded on six main principles:
- Credit: Scientists who invest in making valuable datasets widely available and reusable deserve appropriate credit and recognition.
- Reuse: Standardized and detailed descriptions make research data easier to find and reuse.
- Quality: For released data to be truly reusable, critical evaluation is needed to verify experimental rigor and the completeness of their description.
- Discovery: Scientists should be able to easily find datasets that are relevant to their research.
- Open: The belief that scientists work best when they can easily connect and collaborate with their peers.
- Service: A commitment to providing excellent service to both authors and readers.
Submission guidelines and information for authors can be found here.
Scientific Data can be found in our Journal A-Z Listing.