20 research outputs found
Darwin Core: An Evolving Community-Developed Biodiversity Data Standard
Biodiversity data derive from myriad sources stored in various formats on many distinct hardware and software platforms. An essential step towards understanding global patterns of biodiversity is to provide a standardized view of these heterogeneous data sources to improve interoperability. Fundamental to this advance are definitions of common terms. This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information. We focus on the categories of terms that define the standard, differences between simple and relational Darwin Core, how the standard has been implemented, and the community processes that are essential for maintenance and growth of the standard. We present case-study extensions of the Darwin Core into new research communities, including metagenomics and genetic resources. We close by showing how Darwin Core records are integrated to create new knowledge products documenting species distributions and changes due to environmental perturbations
Internet of Samples (iSamples): Toward an interdisciplinary cyberinfrastructure for material samples
Sampling the natural world and built environment underpins much of science, yet systems for managing material samples and associated (meta)data are fragmented across institutional catalogs, practices for identification, and discipline-specific (meta)data standards. The Internet of Samples (iSamples) is a standards-based collaboration to uniquely, consistently, and conveniently identify material samples, record core metadata about them, and link them to other samples, data, and research products. iSamples extends existing resources and best practices in data stewardship to render a cross-domain cyberinfrastructure that enables transdisciplinary research, discovery, and reuse of material samples in 21st century natural science. © The Author(s) 2021. Published by Oxford University Press GigaScience.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]
Use of ecological niche modelling to predict distributions of freshwater fish species in Kansas
A study of the distribution ranges of small mammals in southeastern Transbaikalia using ecological niche-based modeling methods
Repository Policy Template - TAG H
ESS Metadata standards identified and included in FAIRSharin
Recommended from our members
Repository Guidance for Researchers - TAG A/D
TBD, potentially Implementing a tool to provide guidance for researchers to find appropriate repositories for their data and other digital research products
Repository Guidance for Researchers - TAG A/D
TBD, potentially Implementing a tool to provide guidance for researchers to find appropriate repositories for their data and other digital research products
Publishers in the ESS team (PESST) - TAG B
TBD: Implementing a common set of publishing policies and workflows on FAI
