Continuing Education for Digital Curation

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Continuing Education for Digital Curation. Nancy McGovern, MIT Libraries Symposium on Digital Curation in the Era of Big Data, July 19, 2012. Topics. Big data considerations Building Blocks Parsing the problem Observations. Big Data Considerations. - PowerPoint PPT Presentation


<p>Digital Curation Continuing Education</p> <p>Continuing Education for Digital Curation Nancy McGovern, MIT LibrariesSymposium on Digital Curation in the Era of Big Data, July 19, 2012TopicsBig data considerationsBuilding BlocksParsing the problemObservations</p> <p>Big Data ConsiderationsDefine volume, velocity, variety AMS May 2012Systems (and people) find scale, speed, and complexity challenging big data includes allWe have building blocks for continuing education some things apply, some things need to be addedDigital community is trying to and needs to move beyond its comfort zone to address big dataThink creatively about the ways our community can be helpful and focus on strengthening those skillsBuilding BlocksCurriculum InitiativesDigital Preservation Management (DPM) programs Digital Preservation Outreach and Education trainersARL/DLF e-science Institute strategic agendasDigital Curation Curriculum (DigCurr) competencies</p> <p>(what?)(how?)(how much?)DPM Three-Legged Stoolholistic combination of skills Big data: infrastructure, applications, skills, attitude, fragmentation, valuationDigital Preservation Management Workshop, September 2007Cornell University Library &amp; ICPSR 2003-20075</p> <p>DPOE PyramidCurriculum Levels: content appropriate to audiences</p> <p>e-science Institute StagesInformed decision making and adaptive management</p> <p>DigCCurr MatrixCompetencies for Curators Scopeunderstand research outcomes and domainsSkills Acquisitiondevelopmental stages, job titles vs. descriptionsTraining Outcomes after training, who will be able to do/know what?Instructorstrain, nurture, assess, enable</p> <p>Parsing the Probleminstruments ===========&gt; dataexperiments ===========&gt; observationsanalysis ===========&gt; findingsScopeResearch Data</p> <p>Research Domains</p> <p>Variations in nature of and requirements for research data across domains </p> <p>DIPIR Project dipir.orgPractices in social science, zoology, archaeologySkills AcquisitionDPM Program StagesAcknowledgeActConsolidateInstitutionalizeExternalize Skills DevelopmentInterestSelf-study or Course(s)Credential SpecializationInstruction / Mentoring</p> <p>OrganizationalTechnologicalExecutiveFundInvestManagerialPlanSelect/AdminsterOperationalUseCoordinate/BuildTraining OutcomesDifferent audiences need different outcomes- e.g., technical expertiseAnchorUtilityTopicalDevelop Instructors13</p> <p>Technology Response Modeleveryonespecialistsorganizations, individualsRaise awareness, increase understanding, supplement curriculumMcGovern, 2009: community might:develop a leadership program for digital curationestablish a mentoring programpromote core concepts for curriculumprovide a space for sharing curriculumcoordinate academic and continuing curriculumsustain a train-the-trainer programmeasure outcomeslaunch a community technology response serviceANADPAligning National Approaches to DP (ANADP)</p> <p>Educational Alignment Opportunities:Develop accredited curriculum, providers, and metrics Address supply and demand (trainers)Engage with employers and professional bodies Improve cooperation in defining skill-sets Provide hands-on experience Confer about curricula internationally, apply nationally Extend training outside the community, including public </p> <p>ANADP release date: next week we hope! Thank you</p>