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FORAGE: the hunt for existing data citations

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FORAGE: the hunt for existing data citations
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5
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified. Please join a Spring seminar and discussion series centered around priority work areas, adjacent initiatives to learn from, and steps that can be taken immediately to drive diverse research communities towards assessment and reward for open data. The first webinar titled “FORAGE: the hunt for existing data citations” will focus on the issue of finding and aggregating citations, how we can extend open citation initiatives to data, and how we can get known citations into a centralized open place. Speakers include: 00:00 Introduction by Matt Buys (Executive Director of DataCite) 01:24 FORAGE: the hunt for existing data citations – Daniella Lowenberg (California Digital Library), 06:26 FORAGE: the hunt for existing data citations – Stephanie van de Sandt (Vrije Universiteit Amsterdam), 12:59 Carly Robinson (US Department of Energy, OSTI) 18:35 Open citations for enabling transparent metrics – Silvio Peroni (Open Citations), 25:54 An Amazon.com for Data aka "Show US the Data" – Julia Lane (Coleridge Initiative) 34:15 Q&A session
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Shared memorySet (mathematics)Social classRight angleSubject indexingRow (database)InformationMetric systemMeasurementSystem administratorShape (magazine)Archaeological field surveyMultiplication signReplication (computing)Meeting/Interview
Virtual machineAbstractionInformationMetadataOpen sourceMeeting/Interview
MetadataPresentation of a groupQuicksortMeeting/Interview
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Game theoryStatisticsVirtual machineOnline chatMeeting/Interview
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Self-organizationNumberScaling (geometry)Principal ideal domainFatou-MengeSource codeUniform resource locatorPerspective (visual)Absolute valueMeeting/Interview
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Transcript: English(auto-generated)