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Survey Data

tl;dr

 Dataset  Notebook

Description

As part of a literature study, the research unit of data science has collected data on 47 Trusted Research Environments (TREs) who enable analysis of confidential data under strict security assertions who protect the data with technical, organizational and legal measures from (accidentally) being leaked outside the facility. The literature study shows that 47 TREs worldwide provide access to confidential data of which two-thirds provide data themselves (n=32, 68%), predominantly via secure remote access (n=46, 98%).

Solution

We designed a database schema that allows collection of the data with correct primary key and foreign-key relationships. Three defined views allow for a simpler exploration of the study data. The analysis of the data was performed in TU Wien's virtual research environment using JupyterHub as well as the chart

Jupyter Notebook

Figure 1: Jupyter Notebook accessing data on DBRepo using the Python Library.

DBRepo Features

  • System versioning
  • Subset exploration
  • Aggregated views
  • Precise & PID of queries tables
  • External data access for analysis

Acknowledgement

This work was part of a cooperation with the Research Unit of Data Science.