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Repositioning Data Management Near Data Acquisition
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Author(s): Paolo Diviacco (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Italy), Jordi Sorribas (CSIC, Spain), Karien De Cauwer (Royal Belgian Institute of Natural Sciences, Belgium), Jean Marc Sinquin (Ifremer, France), Raquel Casas (CSIC, Spain), Alessandro Busato (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Italy), Yvan Stoyanov (Royal Belgian Institute of Natural Sciences, Belgium)and Serge Scory (Royal Belgian Institute of Natural Sciences, Belgium)
Copyright: 2017
Pages: 22
Source title:
Oceanographic and Marine Cross-Domain Data Management for Sustainable Development
Source Author(s)/Editor(s): Paolo Diviacco (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Italy), Adam Leadbetter (Marine Institute, Ireland)and Helen Glaves (British Geological Survey, UK)
DOI: 10.4018/978-1-5225-0700-0.ch008
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Abstract
This chapter intends to propose a solution to the progressive paradigmatic drift that emerges when data is part of a workflow where processes and contexts are not accessible. In this case end users can have difficulties in identifying possible anomalies, or events that might be very important for the dataset and its interpretation. Since sustainable development is based on cross-disciplinary studies, this can revert in misunderstanding and difficulties to work collaboratively. To address this issue it is proposed to fill the gap between the data and its acquisition through a logging system named EARS that records underway data such as for example: meteo or swell, and events such as: anomalies or acquisition milestones. Once all these information are stored, they can be linked to the data through an OGC compliant metadata model and gathered as summaries as required by several data management initiatives.
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