Difference between revisions of "Project Overview"

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Data generated by clinical research is collected and stored in a wide variety of different locations (e.g. data repositories, trial registries, publications, etc.); because of the sensitivity of the data, data and related documents are often available under restricted or managed access.
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Data generated by clinical research is collected and stored in a wide variety of different locations (e.g. data repositories, trial registries, publications, etc.); because of the sensitivity of the data, data and related documents are often available under restricted or managed access.<br><br>
 
To maximise the discoverability of all these data objects, it is necessary to collect the metadata about them, including object provenance, location and access details, into a single system.<br>
 
To maximise the discoverability of all these data objects, it is necessary to collect the metadata about them, including object provenance, location and access details, into a single system.<br>
To that end the XDC project will develop an MDR (MetaData Repository) to standardise, assemble and display the metadata about clinical studies and the data objects generated by them, and provide access to them through a single system, accessed via a web portal.<br>
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To that end the XDC project will develop an MDR (MetaData Repository) to standardise, assemble and display the metadata about clinical studies and the data objects generated by them, and provide access to them through a single system, accessed via a web portal.<br><br>
 
The web portal is developed in collaboration with ONEDATA (Cyfronet); functionality for discoverability of studies and related data objects is provided by INFN. So far metadata from 8 data sources have been collected using different modalities (e.g. DB download, OAI-PMH, scraping of web pages) and stored as JSON objects/relational DB form on the test bed server at INFN. Data will be then ingested, uploaded and made available to users. <br>
 
The web portal is developed in collaboration with ONEDATA (Cyfronet); functionality for discoverability of studies and related data objects is provided by INFN. So far metadata from 8 data sources have been collected using different modalities (e.g. DB download, OAI-PMH, scraping of web pages) and stored as JSON objects/relational DB form on the test bed server at INFN. Data will be then ingested, uploaded and made available to users. <br>
 
The ONEDATA solution will implement the metadata collection and transport from multiple OneProvider to the central OneZone service; it will also deal with the ACLs management to implement the data protection.
 
The ONEDATA solution will implement the metadata collection and transport from multiple OneProvider to the central OneZone service; it will also deal with the ACLs management to implement the data protection.

Revision as of 16:30, 10 November 2019

Data generated by clinical research is collected and stored in a wide variety of different locations (e.g. data repositories, trial registries, publications, etc.); because of the sensitivity of the data, data and related documents are often available under restricted or managed access.

To maximise the discoverability of all these data objects, it is necessary to collect the metadata about them, including object provenance, location and access details, into a single system.
To that end the XDC project will develop an MDR (MetaData Repository) to standardise, assemble and display the metadata about clinical studies and the data objects generated by them, and provide access to them through a single system, accessed via a web portal.

The web portal is developed in collaboration with ONEDATA (Cyfronet); functionality for discoverability of studies and related data objects is provided by INFN. So far metadata from 8 data sources have been collected using different modalities (e.g. DB download, OAI-PMH, scraping of web pages) and stored as JSON objects/relational DB form on the test bed server at INFN. Data will be then ingested, uploaded and made available to users.
The ONEDATA solution will implement the metadata collection and transport from multiple OneProvider to the central OneZone service; it will also deal with the ACLs management to implement the data protection.