Improving the IEA Approach Using Principles of Open Data Science

Kimberly Bastillea Integrated Statistics, Woods Hole, Massachusetts, USA; ;b Ecosystem Dynamics and Assessment Branch, National Marine Fisheries Service, Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration, Woods Hole, Massachusetts, USA; Correspondence[email protected]

Sean Hardisonc University of Virginia, Charlottesville, Virginia, USA;

Lynn deWittd Environmental Research Division, National Marine Fisheries Service, Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Santa Cruz, California, USA;

Jennifer Browne ECOS Consulting LLC, Lafayette, California, USA; ;f National Oceanic and Atmospheric Administration, Channel Islands National Marine Sanctuary, Santa Barbara, California, USA;

Jameal Samhourig Conservation Biology Division, National Marine Fisheries Service, Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA;

Sarah Gaichasb Ecosystem Dynamics and Assessment Branch, National Marine Fisheries Service, Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration, Woods Hole, Massachusetts, USA;

Sean Luceyb Ecosystem Dynamics and Assessment Branch, National Marine Fisheries Service, Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration, Woods Hole, Massachusetts, USA;

Kelly Kearneyh University of Washington, Joint Institute for the Study of the Atmosphere and Ocean, Seattle, Washington, USA;

Ben Besti EcoQuants LLC, Santa Barbara, California, USA;

Scott Crossj National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, National Centers for Environmental Information, Charleston, South Carolina, USA;

Scott Largeb Ecosystem Dynamics and Assessment Branch, National Marine Fisheries Service, Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration, Woods Hole, Massachusetts, USA;

Ellen Spoonerk ECS Federal, Fairfax, Virginia, USA; ;l Integrated Ecosystem Assessment Program, National Oceanographic and Atmospheric Administration, Fisheries Office of Science and Technology, Spring Silver, Maryland, USA

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Abstract

Integrated ecosystem assessments (IEAs) compile and use indicators, risk assessments, and other analyses to address regional policy needs at varying spatial scales. Although approaches to implementing IEAs are context-specific, challenges in data acquisition, management, processing, analysis, and communication are universal. By embracing open science, in which scientific data, methods, and products are made publicly accessible, along with the ever-expanding tools facilitating open science, IEA practitioners will be better equipped to address these challenges. Here, we provide a snapshot of the state of open science practices in IEAs on-going across the United States. We show that open science has improved the flexibility, reproducibility, and efficiency of the scientific workflows within the IEA framework. Although the initial time investment necessary for developing open science workflows may appear daunting, we show that the subsequent returns provided by the efficient and transparent development of IEA products are worth the effort. By improving the implementation of IEAs, open science tools and principals have the potential to further Ecosystem Based Management (EBM) worldwide.

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Improving the IEA Approach Using Principles of Open Data Science

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Improving the IEA Approach Using Principles of Open Data Science

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