Using existing data: Licensing and Citing Data Short summary: Found the perfect dataset? Here's how to understand data and code licenses and citation. Event page text: The Licensing and Citing Data videos (Options for Remote STEM Research videos 16-19, posting daily July 6-9) will discuss correct attribution and citation of datasets and code. Watch the videos and bring your questions! Registration is not required; please visit www.twitter.com/OU_Libraries during the 11am-12pm time period to participate. Don't have Twitter? Email Claire Curry (cmcurry@ou.edu) with your questions to be answered on Twitter live July 10, 11am-12pm. Sections - Video 16 - Video + voice: "Hi everyone, this is Claire Curry at the University of Oklahoma libraries. Welcome to another installment of Options for Remote STEM research series that covers using existing datasets. Starting here with Video 16, we'll talk about licensing and citations for code and data." - Voiceover + slides next - The goal of this video set is how to use existing datasets from other researchers. - In the next three videos, we're going to cover some common questions about correct attribution that occur when you are looking to use someone else's dataset. With collaborators, or old datasets from your research group, it's a little easier, because you can talk about co-authorship and expectations directly without contacting someone you don't know. Here's what we'll talk about for using datasets you've found: - What the most common data licenses mean and where to find explanations - How to USE data or code that have a license? - How to use datasets that suggest a citation? - Additionally, we'll talk about where and how to get datasets in mid and late July. - We'll follow with a live Twitter Q&A on licensing/citing datasets on Monday, July 6, 2020. - Video 17 - Today, we're going to talk about common data licenses you may encounter when using existing datasets or code. Most resources focus on picking a license, but here we're going to assume you are using something that HAS a license. - First, what is the purpose of a license? Licenses are permissions to use something in spite of copyright. Impact challenge: "Copyright is the intellectual property law that protects creative works from theft and misuse." In effect, the authors keep all the rights. "licenses allow creators to grant standing permissions to anyone who seeks to use their work. This means, “you already have some permission” to use the work. There is no need to search out the creator in order to use it." (quotes from: https://libraries.ou.edu/content/understand-open-licenses ) - There are a few broad classes of licenses that are typically applied to data. These can be Creative Commons licenses, Open Data licenses, or Software licenses. - You can read about the specifics of these licenses at these links. Look at what license your dataset of interest has and find it on one of these pages. If you encounter a different license, you can either search for the license name or contact your liaison librarian or Jen Waller. - Software: https://choosealicense.com/licenses/ - Data: https://opendatacommons.org/norms/odc-by-sa.1.html - Creative Commons: https://wiki.creativecommons.org/wiki/Data#Frequently_asked_questions_about_data_and_CC_licenses - Different types of work have different needs. For example, data and databases sometimes use different licenses relative to a creative work such as a manuscript, because a database could contain items from many contributors. To understand why the creator might have used different licenses, check out these links. - https://knowledge.figshare.com/articles/item/what-is-the-most-appropriate-licence-for-my-data - https://library.stanford.edu/research/data-management-services/share-and-preserve-research-data/licensing - https://data.research.cornell.edu/content/intellectual-property - In videos 18 and 19, we'll talk about how to properly credit a dataset you're interested in using. Video 18 will cover attribution (giving credit) and video 19 will cover citation. These two categories overlap, but it's good to know the variations. - Video 18: Giving credit with attribution statements - We've talked about what a license is and shown you where to read about some licenses that are commonly encountered. Now that you know what license is on the dataset or code you are using, how do you correctly give credit to the dataset/code creator? - For CC licenses - you can use this: http://www.openwa.org/attrib-builder/ - Examples here: https://wiki.creativecommons.org/wiki/best_practices_for_attribution - For software licenses: - Good and bad examples here: https://www.nexb.com/blog/oss_attribution_obligations.html - It can get complicated: http://softwarefreedom.org/resources/2012/ManagingCopyrightInformation.html - If you are uncertain, please contact the IP office or a lawyer. -For data licenses, the license should suggest text - Several examples compiled here: https://blog.ldodds.com/2013/04/30/how-do-we-attribute-data/ -Finally, you can always contact the creator and ask! - Video 19: Giving credit by citation - We discussed attribution statements in Video 18. You may be wondering why not cite the dataset? In fact, we encourage you to do that as well! - Attribution is about the legalities, citation is about scholarly provenance (where you got the information) - https://opentextbc.ca/selfpublishguide/chapter/citation-vs-attribution/ - https://sunlightfoundation.com/2014/03/26/dont-attribute-open-data-cite-it/ - Citations are often what are counted for fellow researchers. - Many government sources (and data repositories) will provide suggested citations - Many scientists need the citation for their impact - https://themindwobbles.wordpress.com/2009/07/10/attribution-vs-citation-do-you-know-the-difference/ - https://opentextbc.ca/selfpublishguide/chapter/citation-vs-attribution/ - So, it's complicated, and the norms around attribution vs citation are still being developed for software and data. When in doubt, use both. - Q&A (twitter takeover)