Take the plunge and share some of your data today! Check out the list of resources below, or contact your local librarians to get started. Sharing raw data if the publication doesn’t provide sufficient detail to replicate your results.“Data available upon request” is NOT sharing the data.Do they provide a handle or DOI? Can you see how many views and downloads? Is it indexed by Google, Google Scholar, the Data Citation Index? When choosing a repository, ask about the support for tracking its use.
License your data so people know what they can do with it.Deposit your data in your institution’s repository to enable long term preservation.Deposit your data in a subject or institutional repository so your colleagues can find and use it.Share your data in an open, accessible, and machine readable format (e.g., csv vs.There are many ways to comply with these requirements – talk to your local librarian to figure out how, where, and when to share your data. Data sharing also benefits the greater scientific community, funders, the public by encouraging scientific inquiry and debate, increases transparency, reduces the cost of duplicating data, and enables informed public policy. The benefit to researchers is that sharing your data can increase the impact of your work, lead to new collaborations or projects, enables verification of your published results, provides credit to you as the creator, and provides great resources for education and training. If you have any questions or want to let us know how you shared your data, reach out to us on Twitter! Respect Your Data – Give & Get Creditĭata are becoming valued scholarly products instead of a byproduct of the research process. Federal funding agencies and publishers are encouraging, and sometimes requiring, researchers to share data that have been created with public funds. Today’s post will introduce you to key components of sharing and provide an activity to help you become comfortable with it. Sharing is a great way to give and get credit – it’s also required by some federal funding agencies. Content is adapted from the Love Your Data website.Īs we reach the last few days of Love Your Data Week, let’s talk about a harder topic – data sharing.