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SYMPOSIUM ON HEALTH DATA LINKAGEThe value of linked data for research into surveillance and adverse events Nick Andrews PHLS Statistics Unit, 61 Colindale Avenue, London, NW9 5EQ (nandrews@phls.org.uk)Abstract
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To fill out the usefulness of linked data, follow these steps:
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Identify the specific domain or problem you want to address using linked data.
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Research and understand the existing data sources and datasets related to the domain.
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Determine the common data elements that can be linked across different sources.
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Define and create a schema or ontology to represent the relationships between these data elements.
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Extract, transform, and load the data into a linked data format, such as RDF (Resource Description Framework).
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Publish the linked data on the web using a unique and persistent identifier for each entity.
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Make sure the linked data is interlinked with other relevant datasets to enhance its usefulness.
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Provide query and navigation mechanisms to enable users to explore and access the linked data.
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Promote the use and adoption of linked data within the community or organization.
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The usefulness of linked data is beneficial for various individuals and organizations, including:
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- Businesses and industries that can leverage linked data to enhance customer experiences, optimize processes, and gain insights.
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- Data engineers and developers who work on data integration, discovery, and semantic web technologies.
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- Information professionals and librarians who manage and provide access to diverse datasets.
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Ultimately, anyone who seeks to unlock the potential of interconnected data to gain valuable insights and facilitate knowledge discovery can benefit from the usefulness of linked data.
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Linked data is useful because it allows for the connection of related information across different datasets, enhancing data discovery, integration, and interoperability.
Organizations and entities that utilize or manage linked data are typically required to file the usefulness of linked data.
To fill out the usefulness of linked data, one must provide relevant data points, descriptions, and links to datasets that illustrate the interconnections and relevance of the data.
The purpose is to ensure clarity and transparency regarding the benefits and applications of linked data in various contexts, fostering better data usage.
Reported information typically includes the datasets utilized, their relationships, the intended use cases, and the benefits derived from linked data.
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