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Semantic Management of Data from Biodiversity and
Ecosystem Studies: Toward an Integrated Workflow
from Collection to Publication. Application to Plankton
Data from Lake Geneva
Christian Picot, Damien
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What is semantic management of data?
Semantic management of data is a process of organizing and structuring data in a way that allows for better integration, understanding, and analysis of information.
Who is required to file semantic management of data?
Companies or organizations that handle a large amount of data and need to ensure its accuracy and effectiveness.
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Semantic management of data can be filled out using specialized software tools or by following a specific data management protocol.
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The purpose of semantic management of data is to improve data quality, enhance data integration, and facilitate better decision-making.
What information must be reported on semantic management of data?
Information such as data sources, data types, data relationships, and data quality measures must be reported on semantic management of data.
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