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SUMMARY:WiNoDa Winter School 2025
DTSTART:20251124T073000Z
DTEND:20251128T151000Z
DTSTAMP:20260410T221200Z
UID:indico-event-66@events.gfbio.org
CONTACT:winoda@gfbio.org
DESCRIPTION:Research with Natural Science Collections: Data\, Quality and 
 MethodsWhen: 24 - 28 November 2025Where: onlineCredit: no creditsCharges: 
 no chargesLanguage: EnglishCapacity: 30 participantsOrganisation:German Fe
 deration for Biological Data e.V. (GFBio)\, Museum für Naturkunde Berlin 
 (MfN)\, German Archaeological Institute (DAI)\, Vernetzungs- und Kompetenz
 stelle Open Access Brandenburg (VuK)Full Program:https://docs.google.com/d
 ocument/d/1hXmvLoilSgvgDbZm5_OZM68u3cnmsybqgyO0P8XrJM0/edit?usp=sharing T
 arget Group:Researchers who work with collection data and curators who wan
 t to review and improve the quality of their existing data corpora.Course 
 description:Handling research data is becoming key for innovative research
 . Object-related data in particular can be a challenge here. The WiNoDa Kn
 owledge Lab supports researchers and curators with a five-day intensive co
 urse on essential data skills for research with objects in earth system re
 search\, archaeology and biodiversity.Our online seasonal school brings to
 gether experts working with natural science collections and is organised i
 n collaboration with NFDI4Biodiversity\, a consortium in the German Nation
 al Research Data Infrastructure NFDI.Join us to explore the full data jour
 ney – from understanding different data types and standards\, navigating
  diverse collection systems\, to enriching datasets and improving data qua
 lity. Special attention will be given to how to make collection data FAIR 
 (Findable\, Accessible\, Interoperable\, Reusable) and openly available fo
 r the scientific community.Through practical exercises\, participants will
  work with existing collection data\, learn how to manage it efficiently u
 sing SQL\, and gain insights into integrating and harmonizing data across 
 platforms. The course will address conceptual and technical aspects of wo
 rking with complex data structures. The seasonal school is suitable for b
 oth researchers who work with collection data and curators who want to rev
 iew and improve the quality of their existing data corpora.The data will b
 e processed in accordance to the Privacy Policy of the German Federation f
 or Biological Data (GFBio). The detailed version can be found here: https
 ://www.gfbio.org/privacy-policy.Please feel free to contact us (alschwartz
 @gfbio.org or mfatemkeng@gfbio.org) if you have specific inquiries. \n\nh
 ttps://events.gfbio.org/event/66/
URL:https://events.gfbio.org/event/66/
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