mypch.github.io/usecase.html at master · MyPCH/mypch.github.io · GitHub

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<!DOCTYPE html>
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<title>Use case - demonstration</title>SW
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  <h1><b>Use case - dataflows</b></h1>
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      <h3><b>Get started</b></h3>
      <h5>Quick up-and-running</h5>
     </div>

    <div class="w3-container">
      <p>In <a href="https://github.com/MyPCH/MyPCH-SC/blob/master/prepare/getstarted.md">Get started</a> you can find a description to get quick up-and-running on a Linux machine:
        <ul>
        <li>Prerequisites
          <ul>
            <li>A machine with Ubuntu and how to install Docker</li>
          </ul>
        </li>
        <li>Tidepool
          <ul>
          <li>Create a local instans of the platform with a local Kubernetes cluster</li>
           <li>Install uploader and web</li>
          </ul>
          <li>Semantic Container
            <ul>
           <li>Install semantic container</li>
          </ul>
          </li>
      </ul>
       </li>
      </ul>
        </p>
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      <h3><b>Integration</b></h3>
      <h5>Extract data from device using Tidepool and use in Semantic Container dataflows</h5>
      <img src="images/ui-integration.png" style="width:30%" ALT="ui-integration">
    </div>

    <div class="w3-container">
      <p>
        Setup a single Linux <a href="https://github.com/MyPCH/MyPCH-SC/blob/master/demos/integration-demo.md">integration demo</a><br>
        When finished uploading then you can do the following:  (refer to the orange number in figure):
        <ol>
        <li>Grab the data for further use in the dataflows</li>
        <li>See the data in <a href="https://github.com/MyPCH/blip">Tidepool Web</a></li>
       </ol>
       <br>
       In the dataflow <a href="https://github.com/MyPCH/sc-diabetes/tree/master/dataflows/Tidepool_Integration">Tidepool integration</a> you can find a demonstration of these capabilities:
       <ul>
          <li>reading data from a Tidepool supported device</li>
          <li>avoding duplicates on data upload into a Semantic Container</li>
          <li>providing a Diabetes specific Usage Policy</li>
          <li>generating a Provenance trail specific to diabetes devices</li>
        </ul>
        </p>
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      <h3><b>Personal data</b></h3>
      <h5>Store data to Semantic Container and get insigths in PDS</h5>

      In the dataflow <a href="https://github.com/MyPCH/sc-diabetes/tree/master/dataflows/Personal_Data">Personal_Data</a> you can find a demonstration of these capabilities:
      <ul>
        <li>converting diabetes data into FHIR-compliant RDF format</li>
        <li>accessing data through a SPARQL endpoint</li>
        <li>uploading data to the OwnYourData Data Vault</li>
        <li>strong encryption of diabetes data</li>
        <li>authentication methods for diabetes data</li>
        <li>visualizing data in a Knowledge Graph</li>
        <li>gain insights from personal data through individual analysis</li>
        <li>access and process diabetes data with standard tools</li>
      </ul>

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  </div>

  <div class="w3-card-4 w3-margin w3-white">
    <div class="w3-container">
      <h3><b>Data donation</b></h3>
      <h5>Share data and identify if data leak</h5>

    </div>

    <div class="w3-container">
      <p>
        In the dataflow <a href="https://github.com/MyPCH/sc-diabetes/tree/master/dataflows/Data_Donation">Data_Donation</a> you can find a demonstration of these capabilities:

      <ul>
        <li>avoding duplicates on data upload</li>
        <li>providing a Diabetes specific Usage Policy</li>
        <li>generating a Provenance trail specific to diabetes devices</li>
        <li>matching Usage Policies specifically based on subsets for Data Categories</li>
        <li>applying and verifying digital watermarks</li>
      </ul>
      </p>
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  </div>

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      <h3><b>Data tracing</b></h3>
      <h5>Share data and aggreate/anonymize data</h5>

    </div>

    <div class="w3-container">
      <p>
      In the dataflow <a href="https://github.com/MyPCH/sc-diabetes/tree/master/dataflows/Data_Tracing">Data_Tracing</a> you can find a demonstration of these capabilities:
      <ul>
        <li>PwDs upload their local diabetes data to an aggregation/anonymization service</li>
        <li>aggregating/anonymizing data in a Semantic Container</li>
        <li>a service provider transfers selected (aggregated) data to a 3rd party</li>
        <li>each PwD traces his/her own data and compiles a usage report</li>
  </ul>
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  </div>


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      <h3><b>Proxy</b></h3>
      <h5>Use a proxy to handle integration</h5>

    </div>

    <div class="w3-container">
      <p>
        We have defined a concept of a health data store (HDS) to merit of higher protection for sensitive data as health data. For scenarios of multiple users in the same environment we have developed a <a href="https://github.com/MyPCH/MyPCH-SC/tree/master/demos/proxy/app">template</a>
        that can be used to demonstrate the workflow as swagger response.
        <br>

        In <a href="https://github.com/MyPCH/MyPCH-SC/blob/master/demos/proxy.md">Proxy</a> you can find a demonstration of these capabilities:

       <ul>
        <li>template to build a demo with Python using Flask web application framework </li>
        <li>local demo and upload to a docker repository available for the kubernetes cluster</li>
        <li>design and security considerations for deployment for building an online demo</li>
      </ul>

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      <h4><b>Demonstrations</b></h4>
      <p>Dataflows</p>
      <ul>
        <li>Get started</li>
        <li>Integration</li>
        <li>Personal data</li>
        <li>Data donation</li>
        <li>Data Tracing</li>
        <li>Proxy</li>
      </ul>

    </div>
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    <h6>This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under THE NGI_TRUST Grant Agreement No. 825618.</h6>
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