What if answers to the world’s most pressing questions and challenges lie in data we already have? What could researchers achieve if they could mine vast troves of existing data for new purposes and at an unprecedented scale? Artificial intelligence … Continue reading
Dryad is making it easier to find and reuse data by collecting and sharing discipline-specific metadata. We’ve rolled out an optional metadata template for researchers to provide additional, enhanced information about their methods, variables, experimental design, and more, when they … Continue reading
Find out how Dryad links your research data to the people, organizations, and publications that bring it to life through our use of persistent identifiers (PIDs). Continue reading
Learn how to craft a robust README file that helps promote data reusability and ensure speedy publication with Dryad. Continue reading
Tips for following Dryad’s data sharing best practices to make sure your dataset is published rapidly and smoothly. Continue reading
Are you a researcher who does data science? Do you use computational methods in your research, practice informatics, or conduct meta-analyses? We want to make it simpler and more effective for researchers like you to reuse Dryad data. We’re looking … Continue reading
As the National Institutes of Health (NIH) new Policy for Data Management and Sharing goes into effect, NIH-funded researchers may be wondering how to ensure they comply with the new requirements. Dryad’s curated data publishing service provides an excellent option for sharing your data and meeting your funder’s expectations. Continue reading
One of the key drivers of Dryad’s success in the years since we first went online in 2008 is our connection to journals and the research publication workflow. While now supporting data submission at any point in the research process, and showcasing data and analysis as independently important contributions to research and discovery, our ability to capture data at a crucial point in the investigator’s path to publication remains very powerful. Continue reading
Why is CC0 a great choice for open data? Learn to love this frequently misunderstood license waiver. Continue reading
I’d like to start my remarks by talking about our end game: achieving the full power for the open sharing and reuse of research data, some of the big obstacles in front of us, and how I feel we might … Continue reading