ORCID Profile
0000-0002-4391-107X
Current Organisation
US Geological Survey
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Frontiers Media SA
Date: 27-06-2018
Publisher: Pensoft Publishers
Date: 20-03-2020
DOI: 10.3897/BISS.4.50889
Abstract: The quality of bio ersity data publicly accessible via aggregators such as GBIF (Global Bio ersity Information Facility), the ALA (Atlas of Living Australia), iDigBio (Integrated Digitized Biocollections), and OBIS (Ocean Biogeographic Information System) is often questioned, especially by the research community. The Data Quality Interest Group, established by Bio ersity Information Standards (TDWG) and GBIF, has been engaged in four main activities: developing a framework for the assessment and management of data quality using a fitness for use approach defining a core set of standardised tests and associated assertions based on Darwin Core terms gathering and classifying user stories to form contextual-themed use cases, such as species distribution modelling, agrobio ersity, and invasive species and developing a standardised format for building and managing controlled vocabularies of values. Using the developed framework, data quality profiles have been built from use cases to represent user needs. Quality assertions can then be used to filter data suitable for a purpose. The assertions can also be used to provide feedback to data providers and custodians to assist in improving data quality at the source. A case study, using two different implementations of tests and assertions based around the Darwin Core "Event Date" terms, were also tested against GBIF data, to demonstrate that the tests are implementation agnostic, can be run on large aggregated datasets, and can make bio ersity data more fit for typical research uses.
Publisher: Frontiers Media SA
Date: 23-07-2019
Publisher: Frontiers Media SA
Date: 16-11-2018
Publisher: Frontiers Media SA
Date: 25-10-2021
DOI: 10.3389/FMARS.2021.737416
Abstract: Maintaining healthy, productive ecosystems in the face of pervasive and accelerating human impacts including climate change requires globally coordinated and sustained observations of marine bio ersity. Global coordination is predicated on an understanding of the scope and capacity of existing monitoring programs, and the extent to which they use standardized, interoperable practices for data management. Global coordination also requires identification of gaps in spatial and ecosystem coverage, and how these gaps correspond to management priorities and information needs. We undertook such an assessment by conducting an audit and gap analysis from global databases and structured surveys of experts. Of 371 survey respondents, 203 active, long-term (& years) observing programs systematically s led marine life. These programs spanned about 7% of the ocean surface area, mostly concentrated in coastal regions of the United States, Canada, Europe, and Australia. Seagrasses, mangroves, hard corals, and macroalgae were s led in 6% of the entire global coastal zone. Two-thirds of all observing programs offered accessible data, but methods and conditions for access were highly variable. Our assessment indicates that the global observing system is largely uncoordinated which results in a failure to deliver critical information required for informed decision-making such as, status and trends, for the conservation and sustainability of marine ecosystems and provision of ecosystem services. Based on our study, we suggest four key steps that can increase the sustainability, connectivity and spatial coverage of biological Essential Ocean Variables in the global ocean: (1) sustaining existing observing programs and encouraging coordination among these (2) continuing to strive for data strategies that follow FAIR principles (findable, accessible, interoperable, and reusable) (3) utilizing existing ocean observing platforms and enhancing support to expand observing along coasts of developing countries, in deep ocean basins, and near the poles and (4) targeting capacity building efforts. Following these suggestions could help create a coordinated marine bio ersity observing system enabling ecological forecasting and better planning for a sustainable use of ocean resources.
Location: United States of America
No related grants have been discovered for Abigail Benson.