|
Biodiversity Information Science and Standards :
Conference Abstract
|
|
Corresponding author: Elizabeth R. Ellwood (ellwoodlibby@gmail.com)
Received: 02 Sep 2024 | Published: 02 Sep 2024
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Ellwood ER, Bentley A, Thiers B, Moser WE, Watkins-Colwell GJ, Zimkus BM, Monfils AK, Franz NM, Bates JM, Poo S, Contreras DL, Webster MS, Nelson G, Abeyrathna N, Kunkel D, Long-Fox BL, Portmann J, Pittman C, Sheik M, Lomas MW, Pandey JL (2024) BIOFAIR Data Network’s Listening Sessions for Engagement and Data Integration. Biodiversity Information Science and Standards 8: e136104. https://doi.org/10.3897/biss.8.136104
|
|
During the last two decades, a wealth of data on biodiversity and associated environments has been mobilized in digital form. Collectively, these data provide a powerful resource that when curated and integrated with intention, can provide critical information to address emerging complex global biological, environmental, and public health challenges. Tapping into the vast potential of specimen, observation, and environmental data requires us to integrate diverse and multifaceted datasets, connect domain-specific communities, and bridge discipline-specific social norms and data infrastructures. Linking data and their respective communities is a critical next step to creating the accessible and enriched data source needed to empower broad integrative biological research and education.
To initiate cross-domain collaborations, the Building an Integrated, Open, Findable, Accessible, Interoperable, and Reusable (*
data infrastructure, Extended Specimen Network
Elizabeth R. Ellwood
SPNHC-TDWG 2024
This material is based on work supported by the U.S. National Science Foundation award number DBI-2303588. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
American Institute of Biological Sciences
BIOFAIR Data Network, https://bcon.aibs.org/biofair/