#LYD16: Respect Your Data — Giving & Getting Credit
Data 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. 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. 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.
There are many ways to comply with these requirements – talk to Data Services to figure out how, where, and when to share your data.
Remember to follow and participate in the discussion to learn more about today’s topic on Twitter #LYD16.
Want to talk about it? Join us for a 30-minute workshop/discussion Friday, 2/12 at noon. Sign up here.
- Share your data upon publication.
- Share your data in an open, accessible, and machine readable format (e.g., csv vs. xlsx, odf vs. docx, etc.)
- Deposit your data in a subject or institutional repository so your colleagues can find and use it.
- Deposit your data in your institution’s repository to enable long term preservation.
- License your data so people know what they can do with it.
- Tell people how to cite your data.
- When choosing a repository, ask about the support for tracking its use. 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?
Things to Avoid
- “Data available upon request” is NOT sharing the data.
- Sharing data in PDF files.
- Sharing raw data if the publication doesn’t provide sufficient detail to replicate your results.
Take the plunge and share some of your data today! Check out the list of resources below, or contact email@example.com to get started.
If your data are not quite ready to go public, go check out 1-2 of the repositories below and see what kinds of data are already being shared.
Talk to us, or check out these sites.
- NIH Data Sharing Repositories
- Joint Declaration of Data Citation Principles
If you have used someone else’s data, make sure you are giving them credit. Take a minute to learn how to cite data:
- Data Citation Guide from George Mason University Libraries’ Data Services
- DataCite: Format your citation (tool)
- APA 6th Style: How to cite data
- Other examples from Michigan State University
How was the deposit process? Easier or harder than you expected?
What do you need to do before you can share your data?
What do you like or dislike about the repository?
Are people sharing data that is similar to yours?
For more information, write to Wendy Mann at firstname.lastname@example.org