Toward cyberinfrastructure to facilitate collaboration and reproducibility for marine integrated ecosystem assessments

Beaulieu, Stace E.; Fox, Peter; Stefano, Massimo Di; Maffei, A. R.; West, Patrick; Hare, Jonathan A.; Fogarty, Michael J.

doi:10.1007/s12145-016-0280-4

Cited by 7 publications

(5 citation statements)

References 28 publications

(4 reference statements)

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“…In this paper, we present a general methodology for mineral informatics (see Figure 1). This methodology, adapted from Fox and McGuinness' Semantic Web Methodology (Beaulieu et al 2017), includes all the steps typically followed in a data-driven scientific exploration. This approach was created for mineral informatics but, as is the case with many data science and informatics approaches, is transferable and applicable to other domains.…”

Section: A Methodology For Mineral Informatics Explorationsmentioning

confidence: 99%

“…Issues found during evaluation will need to be documented in the use case and thus improve the data-driven exploration during the next iteration or redesign of the approach. Semantic Web Methodology (Beaulieu et al 2017). Mineral informatics methods not only systematize the mineral data landscape, but also provide a path to answering longstanding interdisciplinary scientific questions.…”

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confidence: 99%

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What is mineral informatics?

Prabhu

Morrison

Fox

et al. 2023

American Mineralogist

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Minerals are information-rich materials that offer researchers a glimpse into the evolution of planetary bodies. Thus, it is important to extract, analyze, and interpret this abundance of information in order to improve our understanding of the planetary bodies in our solar system and the role our planet's geosphere played in the origin and evolution of life. Over the past several decades, data-driven efforts in mineralogy have seen a gradual increase. The development and application of data science and analytics methods to mineralogy, while extremely promising, has also been somewhat ad-hoc in nature. In order to systematize and synthesize the direction of these efforts, we introduce the concept of "Mineral Informatics," which is the next frontier for researchers working with mineral data. In this paper, we present our vision for Mineral Informatics and the X-Informatics underpinnings that led to its conception, as well as the needs, challenges, opportunities, and future directions of the field. The intention of this paper is not to create a new specific field or a sub-field as a separate silo, but to document the needs of researchers studying minerals in various contexts and fields of study, to demonstrate how the systemization and enhanced access to mineralogical data will increase cross-and interdisciplinary studies, and how data science and informatics methods are a key next step in integrative mineralogical studies.

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Section: A Methodology For Mineral Informatics Explorationsmentioning

confidence: 99%

mentioning

confidence: 99%

What is mineral informatics?

Prabhu

Morrison

Fox

et al. 2023

American Mineralogist

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“…Diviacco et al's (2015) work with boundary objects highlights this diversity, and shows the current efforts within the geo-sciences community to tackle automatic semantic and dynamic knowledge representation. Beaulieu et al (2016) also highlight the growing need and the current state-of-art in cyberinfrastructures to support collaborative processes and semantic communication amongst a diverse set of domain specialists. This automatic recording of information is much more prevalent in the geo-sciences than in health.…”

Section: Two-level Modelling In Non-health Systemsmentioning

confidence: 99%

Towards a Digital Earth: using archetypes to enable knowledge interoperability within geo-observational sensor systems design

Stacey¹,

Berry²

2018

Earth Sci Inform

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Earth System Science (ESS) observational data are often inadequately semantically enriched by geoobservational information systems in order to capture the true meaning of the associated data sets. Data models underpinning these information systems are often too rigid in their data representation to allow for the ever-changing and evolving nature of ESS domain concepts. This impoverished approach to observational data representation reduces the ability of multi-disciplinary practitioners to share information in a computable way.Object oriented techniques typically employed to model data in a complex domain (with evolving domain concepts) can unnecessarily exclude domain specialists from the design process, invariably leading to a mismatch between the needs of the domain specialists, and how the concepts are modelled. In many cases, an over simplification of the domain concept is captured by the computer scientist. This paper proposes that two-level modelling methodologies developed by Health Informaticians to tackle similar problems of specific domain use-case knowledge modelling can be re-used within ESS Informatics. A proposed methodology to re-use two-level modelling within geo-observational sensor systems is described. We show how the Open Geospatial Consortium's (OGC) Observations & Measurements (O&M) standard can act as a pragmatic solution for a stable reference-model (necessary for two-level modelling), and upon which more volatile domain specific concepts can be defined and managed using archetypes. A use-case is presented, followed by a worked example showing the implementation methodology and considerations leading to an O&M based, two-level modelling design approach, to realise semantically rich and interoperable Earth System Science based geo-observational sensor systems.

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“…Data systems that utilize available technologies come in many forms (e.g., hardware and software solutions, mobile phone applications), may be implemented by different fisheries stakeholders or through collaborations between them, and can be used to improve outcomes at multiple points in the supply–management chain, from improving efficiency on the water and access to markets, to driving scientifically sound regulation. Although implementing new data systems and establishing new data infrastructure will likely be a technical, institutional and bureaucratic challenge for fisheries managers and informally managed fishers alike (Beaulieu et al., ), improved data systems can increase the temporal and spatial resolution (i.e., near real‐time, georeferenced catch and landings), volume and diversity (e.g., length data) of data collected, while also improving efficiency and automation in both collection and data analysis, standardization, verifiability, flexibility, transparency and availability of data. Technologically advanced fisheries data systems can also facilitate traceability of catch for fisheries certification programs, reduce the cost of data collection, and provide a means to enhance communication and cooperation between fishers and/or managers to reach common goals.…”

Section: Current Applications Of Fishery‐dependent Data Technologiesmentioning

confidence: 99%

Opportunities to improve fisheries management through innovative technology and advanced data systems

et al. 2019

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Fishery‐dependent data are integral to sustainable fisheries management. A paucity of fishery data leads to uncertainty about stock status, which may compromise and threaten the economic and food security of the users dependent upon that stock and increase the chances of overfishing. Recent developments in the technology available to collect, manage and analyse fishery‐relevant data provide a suite of possible solutions to update and modernize fisheries data systems and greatly expand data collection and analysis. Yet, despite the proliferation of relevant consumer technology, integration of technologically advanced data systems into fisheries management remains the exception rather than the rule. In this study, we describe the current status, challenges and future directions of high‐tech data systems in fisheries management in order to understand what has limited their adoption. By reviewing the application of fishery‐dependent data technology in multiple fisheries sectors globally, we show that innovation is stagnating as a result of lack of trust and cooperation between fishers and managers. We propose a solution based on a transdisciplinary approach to fishery management that emphasizes the need for collaborative problem‐solving among stakeholders. In our proposed system, data feedbacks are a key component to effective fishery data systems, ensuring that fishers and managers collect, have access to and benefit from fisheries data as they work towards a mutually agreed‐upon goal. A new approach to fisheries data systems will promote innovation to increase data coverage, accuracy and resolution, while reducing costs and allowing adaptive, responsive, near real‐time management decision‐making to improve fisheries outcomes.

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Toward cyberinfrastructure to facilitate collaboration and reproducibility for marine integrated ecosystem assessments

Abstract: 17There is a growing need for cyberinfrastructure to support science-based decision making in

Cited by 7 publications

References 28 publications

What is mineral informatics?

What is mineral informatics?

Towards a Digital Earth: using archetypes to enable knowledge interoperability within geo-observational sensor systems design

Opportunities to improve fisheries management through innovative technology and advanced data systems

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