 Welcome to a little short talk about open data and fair principles. I hope everyone can hear me. Okay. We're going to talk a little bit about open data in context. And on the website, we can see the notion that if you show your work, share your work, you advanced science. And that's open science. In the open definition at the knowledge, open knowledge foundation, we see that knowledge is open if anyone is free to access, use, modify, and share it. Subject at most to measures that preserve provenance and openness. This promotes a robust commons in which anyone may participate and interoperability is maximized. If you dig in at opendefinition.org, you'll see how emphasis on use and reuse helps ensure quality and encourages compatibility between different pools of open material. Here is a set of principles that describe the attributes data needs to have and enable and enhance reuse by humans and machines. The acronym for fair is findable, accessible, interoperable, and reusable. It originates from a 2014 Lawrence workshop, resulting in 15 guiding principles published in 2016. Openness in fair has a nuance. Fair data is as open as possible, as closed as necessary. Let's dig in. The ultimate goal of fair is to optimize the reuse of data. To achieve this, metadata and data should be well described so that they can be replicated or combined in different settings. For example, to be accessible, metadata are retrieved by their identifier using a standardized communication protocol. That protocol is open, free, and universally implementable. To be reusable, metadata and data are released with a clear and accessible data usage license. The GoFair initiative supports those making data fair through an international coordinating office, national offices and implementation networks, because a common environment enabling data-driven research and innovation around the world needs to be built collectively. A growing number of scientists, science funders, and policymakers advocate in our making the transition to open science. Many of these projects are designed and launched to make unlinked research data findable, accessible, interoperable, and reusable. That's where GoFair comes in on the basis of three pillars, GoChange, GoTrain, and GoBuild. You'll notice a similarity to Brian's talk this morning about what's necessary for behavior change and instantiating it, where he said achieving the mission of open science requires culture change in the incentives that drive researchers' behavior. The infrastructure that supports research and the business models that dominate scholarly communication through these three pillars, GoFair fosters concerted verification efforts of its participants in helps avoid silo formation, undue competition, and fragmentation. A three-point verification network has been developed collectively for essential steps toward verification. The process begins when a community of practice considers its domain relevant metadata requirements and other policy considerations, and formulates or defines these considerations as machine actionable metadata components. Getting help for reaching consensus on these requirements can be guided in metadata for machines workshops. M4M outputs then help guide formation of fair implementation profiles, which are a collection of fair implementation choices made by a community of practice for each of the fair principles. Community-specific FIPS can then themselves become captured as fair data sets and made openly available to other communities for reuse. A fair implementation profile in turn can guide choice and configuration of fair infrastructure. For example, use of fair data points or fair digital objects. The three-point verification framework maximizes reuse of existing resources, maximizes interoperability, and accelerates convergence on standards and technologies supporting fair data and services. If that sounds like a lot to tackle all by yourself, here's an introduction to the GoFair US support team at the coordination office that was established in February 2019 at the San Diego Supercomputer Center at the University of California, San Diego. Here you see the GoFair US goals, the ways the office can help you go fair. And I want to thank you for joining us today. Fairification of education research will be of great benefit to many of us here today. Please contact GoFair or your National GoFair office if you have questions along the way. These slides are available on the OSF. Thanks for coming.