Event /  24 Nov 2025

Online Winter School: Research with Natural Science Collections - Data, Quality and Methods

Handling research data is becoming key for innovative research. Object-related data in particular can be a challenge here. The WiNoDa Knowledge Lab supports researchers and curators with a five-day intensive course on essential data skills for research with objects in earth system research, archaeology and biodiversity.

Online Event
24 Nov 2025

The WiNoDa online winter school brings together experts working with natural science collections and is organised in collaboration with NFDI4Biodiversity, a consortium in the German National Research Data Infrastructure NFDI.

Join us to explore the full data journey – from understanding different data types and standards, navigating diverse collection systems, to enriching datasets and improving data quality. Special attention will be given to how to make collection data FAIR (Findable, Accessible, Interoperable, Reusable) and openly available for the scientific community.

Through practical exercises, participants will work with existing collection data, learn how to manage it efficiently using SQL, and gain insights into integrating and harmonizing data across platforms. The course will address conceptual and technical aspects of working with complex data structures.

The seasonal school is completely free and suitable for both researchers who work with collection data and curators who want to review and improve the quality of their existing data corpora.

Join us to learn…

  • about the principles of FAIR and open collection data
  • how to meet data quality standards
  • about challenges in handling object data
  • how to navigate different data collections
  • about data types and standards
  • about persistent identifiers
  • how to enrich collection data
  • how to visualise data
  • how to manage collection data with SQL.

 

Registration possible until October 15th, 2025. 

 

Credit: no credits

Charges: no charges

Language: English

Picture credits: Kirill Tatarenkov

Organisation: German Federation for Biological Data e.V. (GFBio), Museum für Naturkunde Berlin (MfN), German Archaeological Institute (DAI), Vernetzungs- und Kompetenzstelle Open Access Brandenburg (VuK) 


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