Data · dataset · 2024
Trusted Research Environments: Analysis of Characteristics and Data Availability
Listed in TU Wien Research Data
Trusted Research Environments (TREs) enable analysis of sensitive data under strict security assertions that protect the data with technical organizational and legal measures from (accidentally) being leaked outside the facility.
Description
While many TREs exist in Europe, little information is available publicly on the architecture and descriptions of their building blocks & their slight technical variations. To shine light on these problems, we give an overview of existing, publicly described TREs and a bibliography linking to the system description.
We further analyze their technical characteristics, especially in their commonalities & variations and provide insight on their data type characteristics and availability. Our literature study shows that 47 TREs worldwide provide access to sensitive data of which two-thirds provide data themselves, predominantly via secure remote access. Statistical offices make available a majority of available sensitive data records included in this study.
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Methodology We performed a literature study covering 47 TREs worldwide using scholarly databases (Scopus, Web of Science, IEEE Xplore, Science Direct), a computer science library (dblp.org), Google and grey literature focusing on retrieving the following source material: Peer-reviewed articles where available, TRE websites, TRE metadata catalogs. The goal for this literature study is to discover existing TREs, analyze their characteristics and data availability to give an overview on available infrastructure for sensitive data research as many European initiatives have been emerging in recent months.
Technical details This dataset consists of five comma-separated values (.csv) files describing our inventory: countries.csv : Table of countries with columns id (number), name (text) and code (text, in ISO 3166-A3 encoding, optional) tres.csv : Table of TREs with columns id (number), name (text), countryid (number, refering to column id of table countries), structureddata (bool, optional), datalevel (one of [1=de-identified, 2=pseudonomized, 3=anonymized], optional), outputcontrol (bool, optional), inceptionyear (date, optional), records (number, optional), datatype (one of [1=claims, 2=linked records]), optional), statistics_office (bool), size (number, optional), source (text, optional), comment (text, optional) access.csv : Table of access modes of TREs with columns id (number), suf (bool, optional), physical_visit (bool, optional), external_physical_visit (bool, optional), remote_visit (bool, optional) inclusion.csv : Table of included TREs into the literature study with columns id (number), included (bool), exclusion reason (one of [peer review, environment, duplicate], optional), comment (text, optional) major_fields.csv : Table of data categorization into the major research fields with columns id (number), life_sciences (bool, optional), physical_sciences (bool, optional), arts_and_humanities (bool, optional), social_sciences (bool, optional).
Additionally, a MariaDB (10.5 or higher) schema definition .sql file is needed, properly modelling the schema for databases: schema.sql : Schema definition file to create the tables and views used in the analysis. The analysis was done through Jupyter Notebook which can be found in our source code repository: gitlab.tuwien.ac.at/martin.weise/tres/-/blob/master/analysis.ipynb
Links
Where it is published
- TU Wien Research Data record researchdata.tuwien.ac.at/records/cv20m-sg117 ↗
landing page · from researchdata tuwien ac at
- DOI doi.org/10.48436/cv20m-sg117 ↗
DOI / persistent id · from researchdata tuwien ac at
Catalogue records · 1
- InvenioRDM API researchdata.tuwien.ac.at/api/records/cv20m-sg117 ↗
metadata API · from researchdata tuwien ac at
Topics
- Stated by source
- Computer and information sciences
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TU Wien Research Data | cv20m-sg117 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tuwien ac at | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · researchdata tuwien ac at | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:computer-and-information-sciences | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| description | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/description |
| license | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| publication_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| title | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/title |
| updated_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| version_label | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 |