Digital Data in Biodiversity, third Conference

Yale Peabody Museum of Natural History_Third Annual Conference

Third Annual Digital Data in Biodiversity Research Conference

10-12 June 2019 at Yale University, New Haven Сonnecticut, USA

«Save the Date: Methods, Protocols, and Analytical Tools for Specimen-based Research in the Biological Sciences»

The Yale Peabody Museum of Natural History in collaboration with iDigBio of the Florida Museum of Natural History, the Natural Science Collections Alliance, and Ecological Society of America is pleased to announce the third annual Digital Data in Biodiversity Research Conference, to be held in Yale University, New Haven, Сonnecticut, 10-12 June 2019. This conference will provide an important opportunity to explore digital data tools, techniques, discoveries, and outcomes across the biodiversity sciences.

Themes for oral presentations and posters might include:

  • published or publishable biodiversity research using digitized specimen data,
  • methods and protocols for enhancing discovery with digitized specimen data,
  • systematics and the use of digital specimen data,
  • ongoing research projects that utilize digital data,
  • gaps and deficiencies in currently available digital data that hinder effective use,
  • user critiques of digital data, aggregators, and data providers,
  • pipelines that integrate digitization, data use, and research,
  • standards and practices for depositing and documenting open access digital datasets,
  • the role and relevance of “Big Data” in biodiversity research,
  • use of digitized biodiversity specimen data within ecological research and practice,
  • conservation use of digital specimen data,
  • the relative importance of vouchers vs. observations as digital data,
  • managing digital biodiversity specimen data in support of research pipelines,
  • analyzing and visualizing specimen-based and related digital data.

Please watch for further announcements on the iDigBio website >>

For further information, please contact Gil Nelson <> or Jill Goodwin <> at iDigBio.