Difference between revisions of "Data Repository tools"

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BRICS Data Repository tool includes following sub-tools or modules:
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In order to help researches to upload and download data to the data repository, BRICS provides the Data Repository tool that includes the following modules (or sub-tools):
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# [[#ImagingSubmission|Imaging data submission and validation]] module should be used for imaging data to create the image submission package.
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# [[#DataValidation| Data Validation]] module verifies that data conforms to the required format and range values defined in the data dictionary. It also creates a data submission package (XML) and submission ticket (XML) that can be uploaded to the data repository via [[#DataUpload| Data Upload]] module;
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# [[#DataUpload| Data Upload]] module assists researches in uploading their data to the data repository (in the form of a submission package and submission ticket).
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# [[#DataDownload| Data Download]] module assists researches in downloading data from the data repository.
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== Steps in data validation, submission and download ==
  
# [[#ImagingSubmission|Imaging data submission and validation]] module,
 
# [[#DataValidation| Data Validation]] module,
 
# [[#DataUpload| Data Upload]] module,
 
# [[#DataDownload| Data Download]] module.
 
  
  

Revision as of 13:50, 26 July 2013

In order to help researches to upload and download data to the data repository, BRICS provides the Data Repository tool that includes the following modules (or sub-tools):

  1. Imaging data submission and validation module should be used for imaging data to create the image submission package.
  2. Data Validation module verifies that data conforms to the required format and range values defined in the data dictionary. It also creates a data submission package (XML) and submission ticket (XML) that can be uploaded to the data repository via Data Upload module;
  3. Data Upload module assists researches in uploading their data to the data repository (in the form of a submission package and submission ticket).
  4. Data Download module assists researches in downloading data from the data repository.

Steps in data validation, submission and download

Imaging data submission and validation module

The Imaging Data Submission and Validation module (also known as MIPAV Image Submission and Validation tool or MIPAV Image submission plug-in) is designed to help researches to validate and submit their data. Data validation is a necessary step that must be done prior data submission in order to ensure the quality of uploaded data and to make data queryable. The module runs as a Java Web Start application locally on a user's computer (Java runtime environment is required).

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Data Validation module

The Data Validation module assists researchers with the submission of both imaging and non-imaging data into the repository. The Data Validation module verifies that data conforms to the required format and range values defined in the data dictionary (note that for the imaging data this is going to be a second validation needed to ensure the quality of data). The Data Validation module validates the metadata associated with the data files identified by the user for submission against the data dictionary. If everything is OK, the Data Validation module creates a submission ticket and submission package. After that data are good for uploading. If errors are found, the module provides a detailed report of any data discrepancies, errors, and warnings. The module runs as a Java Web Start application locally on a user's computer (Java runtime environment is required).

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Data Upload module

After the submission package has been created using either the Imaging Data Submission and Validation module (for imaging data) or by the Data Validation module (for non-imaging data), data can be submitted to the data repository. The Data Upload module facilitates this process. The module runs as a Java Web Start application locally on a user's computer (Java runtime environment is required).

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Data Download module

Data Download module helps users to select and download datasets from the data repository to their own systems. The module runs as a Java Web Start application locally on a user's computer (Java runtime environment are required).

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