ORCID Profile
0000-0001-5190-258X
Current Organisation
National Ecological Observatory Network
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Publisher: Wiley
Date: 16-11-2010
Publisher: Elsevier BV
Date: 10-2006
Publisher: Wiley
Date: 20-04-2014
DOI: 10.1111/GEB.12177
Publisher: Wiley
Date: 02-03-2024
Abstract: A quality management system is critical for ensuring that the data and services provided by an organization meet the needs of its mission. With a mission to collect long‐term open‐access ecological data to better understand how US ecosystems are changing, the National Ecological Observatory Network (NEON) is a highly standardized measurement network distributed across the United States and Puerto Rico collecting data on the biosphere and its interfaces with the pedosphere, hydrosphere and atmosphere. In order to achieve high‐quality, comparable data across the network, a quality management system was developed by applying the seven ISO 9001:2015 principles of quality management: customer focus , leadership, engagement of people, process approach, improvement, evidence‐based decision making and relationship management . The resultant system is integrated throughout NEON's organizational structure with an approach that connects people and operational processes throughout the data life cycle ( process approach ). We describe the system with respect to sensor data (automated measurements), demonstrating its effectiveness through ex les, lessons learned and a continuous history of improvement towards quality goals, including a doubling of data quality in NEON's meteorological and soil datasets since 2015 and substantial gains in other sensor datasets. Owing to a focus on quality management principles and particularly the interconnectedness of human and information systems, NEON's quality management system can serve as a model for networks with a variety of organizational structures and sizes.
Publisher: Walter de Gruyter GmbH
Date: 12-2018
Abstract: Research infrastructures play a key role in launching a new generation of integrated long-term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG CO 2 , CH 4 , N 2 O, H 2 O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to s le climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied s ling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.
Location: United States of America
No related grants have been discovered for Edward Ayres.