Managing Troubled Data: Coastal Data Partnerships Smooth Data Integration

Hale, Stephen S.; Miglarese, Anne Hale; Bradley, Mark P.; Belton, Thomas J.; Cooper, Larry D.; Frame, Michael T.; Friel, Christopher A.; Harwell, Linda C.; King, Robert; Michener, William K.; Nicolson, David; Peterjohn, Bruce G.

doi:10.1007/978-94-017-0299-7_13

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…This organizational collaboration can further motivate commitment, accountability, identification of gaps, and diversification of funding sources among involved parties (Hildebrand et al, 2002). Regional collaboration provides an opportunity to support cooperation in ecosystem management programs (Hale et al, 2003), while tailoring national priorities to regional contexts (JOCI & Monterey Bay Aquarium, 2007).…”

Section: Benefits Of Regional Marine Research Collaborationmentioning

confidence: 99%

“…Data sharing and integration are essential because increasing understanding of marine ecosystems and human pressures cannot be done by a single entity, but instead must involve collaborations crossing both jurisdictional boundaries and individual research programs (Hale et al, 2003;Hildebrand et al, 2002). Data sharing and integration are beneficial in facilitating data exchange, incorporating vast amounts of data collected, ensuring the capability of data to be used by multiple parties, and reducing duplication of efforts (Strain et al, 2006).…”

Section: Sciencementioning

confidence: 99%

“…This occurs through opportunities to recognize complexity in ecosystem diversity and function (Christensen et al, 1996;NRC, 1994) and then study these ecosystems as a whole rather than the sum of their parts (Karkkainen, 2002, 204). A collaborative ecosystem approach further embraces analysis of ecosystem dynamics and cumulative impacts of human activities (Hale et al, 2003;Halpern et al, 2008;JSOST, 2007). Through increased understanding of these ecosystems, governance at all levels can be improved (Crowder et al, 2006;Levin & Lubchenco, 2008).…”

Section: Benefits Of Regional Marine Research Collaborationmentioning

confidence: 99%

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The Necessity of Establishing a Regional Marine Research Program for the U.S. West Coast

Coleman

2009

Coastal Management

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The welfare of the marine environment of the U.S. West Coast of California, Oregon, and Washington is hindered by insufficient understanding of ecosystem dynamics and human pressures. Greater coordination, integration, and support of mutually identified research priorities across research organizations on the West Coast are necessary. This level of collaboration is essential to responding to regional ecosystem threats, such as the impacts of human occupation of coastal areas, over-harvesting of marine resources, and climate change. To address this need for collaboration and build on the accomplishments of existing research organizations, this article advocates the establishment of a West Coast regional marine research program (RMRP).

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Section: Benefits Of Regional Marine Research Collaborationmentioning

confidence: 99%

Section: Sciencementioning

confidence: 99%

Section: Benefits Of Regional Marine Research Collaborationmentioning

confidence: 99%

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The Necessity of Establishing a Regional Marine Research Program for the U.S. West Coast

Coleman

2009

Coastal Management

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“…The CRSI SDM Concept SDM in the CRSI effort is an inclusive process where all researchers are expected to participate in data collection, assessment, processing, and storage. The SDM infrastructure is adapted from past practices described in Hale et al (2003) which emphasizes a culture of "data sharing." Additional queues from Zook et al (2017) helped inform CRSI SDM requirements for capturing the copyright information (Carroll, 2015), data provenance (Carlson and Anderson, 2007), and data ethics (Floridi and Taddeo, 2016;Vayena and Tasioulas, 2016) that are especially important to address when data are made publicly accessible.…”

Section: Approachmentioning

confidence: 99%

“…Since principal investigators lead and provide oversight in research projects, it seems natural that improving SDM outcomes begins with education and handson experience for researchers. The CRSI SDM is a relatively simple framework that embraces "better data management through partnerships" concepts (Hale et al, 2003), adapted for a small, co-located team. At its core, the CRSI SDM environment is as much a training platform as it is an assemblage of data management practices.…”

Section: Approachmentioning

confidence: 99%

Scientific Data Management in the Age of Big Data: An Approach Supporting a Resilience Index Development Effort

Harwell

Vivian

McLaughlin

et al. 2019

Front. Environ. Sci.

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The increased availability of publicly available data is, in many ways, changing our approach to conducting research. Not only are cloud-based information resources providing supplementary data to bolster traditional scientific activities (e.g., field studies, laboratory experiments), they also serve as the foundation for secondary data research projects such as indicator development. Indicators and indices are a convenient way to synthesize disparate information to address complex scientific questions that are difficult to measure directly (e.g., resilience, sustainability, well-being). In the current literature, there is no shortage of indicator or index examples derived from secondary data with a growing number that are scientifically focused. However, little information is provided describing the management approaches and best practices used to govern the data underpinnings supporting these efforts. From acquisition to storage and maintenance, secondary data research products rely on the availability of relevant, high-quality data, repeatable data handling methods and a multi-faceted data flow process to promote and sustain research transparency and integrity. The U.S. Environmental Protection Agency recently published a report describing the development of a climate resilience screening index which used over one million data points to calculate the final index. The pool of data was derived exclusively from secondary sources such as the U.S. Census Bureau, Bureau of Labor Statistics, Postal Service, Housing and Urban Development, Forestry Services and others. Available data were presented in various forms including portable document format (PDF), delimited ASCII and proprietary format (e.g., Microsoft Excel, ESRI ArcGIS). The strategy employed for managing these data in an indicator research and development effort represented a blend of business practices, information science, and the scientific method. This paper describes the approach, highlighting key points unique for managing the data assets of a small-scale research project in an era of "big data."

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Toward Cross-Company Value Generation from Data: Design Principles for Developing and Operating Data Sharing Communities

Lefebvre,

Flourac,

Krasikov

et al. 2023

Lecture Notes in Computer Science

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Managing Troubled Data: Coastal Data Partnerships Smooth Data Integration

Cited by 6 publications

References 15 publications

The Necessity of Establishing a Regional Marine Research Program for the U.S. West Coast

The Necessity of Establishing a Regional Marine Research Program for the U.S. West Coast

Scientific Data Management in the Age of Big Data: An Approach Supporting a Resilience Index Development Effort

Toward Cross-Company Value Generation from Data: Design Principles for Developing and Operating Data Sharing Communities

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