What is Digital Discovery?
Digital Discovery is an open access journal that publishes both theoretical and experimental research at the intersection of chemistry, materials science and biotechnology. We focus on the development and application of AI, machine learning and automation tools to unravel scientific problems. We put data first to ensure reproducibility and faster progress for everyone.
To achieve this, we require the data and code alongside the research manuscript for every submission we receive. The data and code are assessed as part of the peer review process. We strongly encourage that all related data is deposited in an open repository before submission, and we require a data availability statement to accompany every manuscript.
What is open data?
Data refers to the results of observations or experiments that validate your research findings, including raw or processed data and metadata files, software and code, and models and algorithms.
Open data refers to the sharing and archiving of research data. It is published alongside a paper and deposited in a data repository, where it can be easily accessed and reused by others.
Expand here to see the full benefits of open data +Open data in Digital Discovery
We deliberately chose Digital Discovery for the publication of our work. We had a very big data set. We went through a lot of discussions with the editors, about how we can make this data as open as possible while balancing the fact that we have some commercial considerations involved. So, this was a very enlightening experience for multiple reasons.
Digital Discovery offers you a trusted platform that is committed to transparency. Our open data policy is a key part of this. We support a FAIR approach, which allows digital tools to thrive and communities to collaborate. FAIR stands for Findable, Accessible, Interoperable and Reusable and enables all researchers to replicate and build upon impactful research. A FAIR policy makes sure that the open data is user-friendly and meaningful to others, and we work with data reviewers to ensure this happens.
We require the supporting data and code to be submitted alongside every manuscript we receive, plus a data availability statement. This statement should provide information on where the data, software and code has been deposited. More information on how to prepare a data availability statement can be found on our journal page.
Interested in more?
Digital Discovery is here to help you go further and drive digital transformation. Explore these resources to learn more about our impactful journal.