Human vs. Machine-Enhanced Scientific Discovery

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21 Sep 2016 UTC

Human vs. Machine-Enhanced Scientific Discovery

21 Sep 2016

Join Mark Musen (Stanford), Janice Kranz and Stephan Schürer (University of Miami) for CDD’s Q3 Town Hall Webinar, “Human vs. Machine-Enhanced Scientific Discovery”

We’re seeing ‘Big Data’ everywhere: healthcare, business, sports, traffic control, biology, drug discovery. The ‘behind-the-scenes’ tool enabling the power of Big Data – searching, sharing, visualizing, querying, analyzing – is the Semantic Web (aka ‘Web 3.0") The major advancement brought about by the Semantic Web is the treatment of data and metadata on the internet as one giant graph of knowledge. Instead of the disjointed islands of knowledge we are used to, with the Semantic Web, databases will be more naturally connected to one other (except where privacy prevents openness).

None of us like to reinvent the wheel. All of us like discovering how our work connects with that of others – that’s the foundation of the scientific method, to build on others’ results. Applying semantic web metadata allows one’s work to be included in this broader arena – whether by (a) directly depositing results into a repository such as PubChem, (b) including metadata in a publication (which is becoming increasingly common, if not required by some journals), or (c) incorporating it into data stored within one’s organization so your data won’t be lost and internal colleagues (current and future) can find and use it. The Semantic Web is here, it’s expanding, and so we better all learn more about it so we don’t get left behind!

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Run by Collaborative Drug Discovery