Data Methods OWL Ontology
This ontology describes the Data Methods found to be used by scientists and researchers while using Restricted Access Data in the context of the FAIR Guiding Principles. These results have emerged from a Systematic Literature Review.
Data Collection
Data Standardization
Method to follow predefined data formats.
Semantic Mapping
Method to use semantic vocabularies.
Data Sharing Planning
Method to inform data subjects about data sharing.
Consent Planning
Method to provide/collect consent forms from data subjects.
Metadata Representation
Usage & License Terms
Method to define data's legal requirements.
Use of Persistent Identifier
Method to use a Persistent Identifier.
Data Type Definition
Method to define the type of data.
Provenance Capturing
Method to provide data's historical records.
Versioning
Method to define data's versions, if exist.
Data Quality Indicator
Method to define data's completeness and quality.
Data Processing
Curation & Validation
Method to organise/integrate data through controlled processes.
Statistical Disclosure
Method to restrict the accuracy of released data.
Data Linking
Method to make data linkable.
Data Synthetization
Method to generate synthetic data from the original set.
Anonymization
De-Identification
Method to delete/mask Personal Identifiable Information.
Data Minimization
Method to reduce the amount of released data.
Pseudonymization
Method to generate artificial Personal Identifiable Information.
Anonymization by Encryption
Method to encode the data through encryption keys.
Data Publication
Data Governance
Method to provide information about the data's chain of custody.
System Federation
Method to deposit the data into federated systems.
Repository Selection
Method to choose the data repository based on suitability.
Embargo on Release
Method to postpone data publishing before a specified date.
Publishing Using Blockchain
Method to store the data into blockchain databases.
Data Usage
Access Control
Method to implement control systems for data accessing.
Algorithm to Data
Method to allow data analysis only by sending the code to the data.
Secure Environment Selection
Method to select data environment based on security levels.
Algorithm Predefinition
Method to allow data analysis only through predefined algorithms.
Post Data Usage
Owner Acknowledgment
Method to request acknowledgement when secondary data is created.
Result Archiving
Method to request secondary data to be archived.