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UID:557@bmi-online.nl
DTSTART;TZID=America/Chicago:20240319T130000
DTEND;TZID=America/Chicago:20240502T143000
DTSTAMP:20240223T121209Z
URL:https://www.bmi-online.nl/events/but-where-is-my-data-teaching-a-two-s
 tage-data-search-process-online/
SUMMARY:But Where is My Data? Teaching a Two-Stage Data Search Process (onl
 ine)
DESCRIPTION:If you are a health\, biomedical sciences\, or instructional li
 brarian or other health information professional looking for new ways to s
 erve your patrons\, learning how to conduct and explain the unique process
  needed for a successful dataset search may be just what you need!\n\nData
 set searching requires a specialized skill set. Datasets can have hundreds
  of variables\, few of which are named in an abstract. A successful search
  requires a two-step process: 1) search or browse for a candidate dataset\
 ; 2) search within the candidate dataset to determine whether good variabl
 es are present.\n\nDr. Nina Exner\, an experienced research data librarian
  and instructor of instructors\, will be your guide to learning how to con
 duct and explain this two-step process. After an overview of the basics of
  dataset searching\, you’ll practice in the ICPSR NIH-related reposito
 ries or the All Of Us Data Browser. As you search\, you’ll annotate a m
 ini-slide-deck with descriptions and explanations of your process. The ann
 otated deck gives you a head start on teaching the two-step search process
  and developing lesson plans around it. You can customize the deck with im
 agery and phrasing that resonates with your learner population.\n\nYou’l
 l also learn the importance of dataset documentation and how to match docu
 mentation of variables with a research question to determine whether datas
 et variables might fit a user’s research question.\n\nYou’ll leave the
  webinar with new searching skills\, a new skill you can teach\, the core 
 of a lesson plan for teaching dataset search to novice data searchers\, an
 d confidence that you can help students and researchers do research involv
 ing secondary analysis of data and faculty for datasets for use in their c
 lasses.\n\nMore information. 
CATEGORIES:Cursussen en congressen,Webinar
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DTSTART:20240310T030000
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