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Aridhia FAIR Data Services

 

Overview

Aridhia FAIR Data Services gives researchers and innovators the ability to discover and understand data through dataset search, classification and efficient metadata browsing capabilities described via dataset catalogues, dictionaries and associated attached assets. Our service is built upon the FAIR Data Principles of making data Findable, Accessible, Interoperable and Reusable:

 

Findable

Data and metadata should be easily discoverable by both humans and machines through the use of standard identification mechanisms.

 

Accessible

Once found, data should be easy to download and use either locally or in a trusted digital research environment. The hosting repository should also have plans in place to keep metadata accessible even in the event of the data itself no longer being available.

 

Interoperable

Utilise standard vocabularies and ontologies in order to ensure the data can be easily mapped and combined with other datasets. This, along with the ability to transform data into standardised formats like FHIR, enables sharing between various scientific disciplines and organisations.

 

Reusable

Data and metadata should be richly described with the least restrictive licenses, allowing it to be easily reused in future research. Integration with other data sources should be easy, facilitated by proper citations and descriptions. The standard identification of items improves data provenance and allows researchers to not only re-use data, but to identify how aspects of it may be reproduced in their own research.

FAIR Data Services provides a secure and compliant environment that is designed with security and privacy in mind, prevents unauthorised access or use of data and adheres to information governance standards.

 

Key Features

 

Data Discovery

  • Search for existing datasets relevant to your research project using simple or Lucene-based search queries.
  • Upload your datasets and associated metadata to be discovered by others.
  • Upload attachments to enhance the description of datasets.
  • Set a dataset as either private or public for wider re-use.
 

Metadata Viewing and Management

  • Understand existing datasets by viewing metadata including catalogue and field-level descriptions.
 

Role-based Access Control

  • Self-service signup with role-based user permissions, including Observer, Standard, Data Steward and Administrator roles.
Updated on May 14, 2020

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