Digital Science
Digital Science offers software and technology solutions designed to make research more efficient, transparent, and impactful, supporting the entire research lifecycle with tools for publishing, data management, and analysis, across scientific disciplines.All by Digital Science
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Climate crisis, artificial intelligence, and vaccines top the list of 2019’s most discussed research

Problem: Researchers and scientists generate and collect vast amounts of data in their work, whether they are running experiments in the lab or surveying and interviewing people on the street. Researchers typically don’t deal with their research outputs until towards the end of the research cycle, when poor organization and data management can be difficult to manage and address, but causes the most problems. Poor data management results in experiments that are harder to replicate and findings that may be called into question. Papers can be retracted, careers impacted and ultimately science can suffer. When researchers move on they may pass their work to others in their research group, where poor data management results in the group inheriting indecipherable written notes they cannot use.