Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data

We present the application of FAIR principles to photovoltaic time series data to increase their reusability within the photovoltaic research community. The main requirements for a FAIRified dataset is to have a clearly defined data format, and to make accessible all metadata for this dataset to humans and machines. To achieve FAIRification, we implement a data model that separates the photovoltaic data and its metadata. The metadata and their descriptions are registered on a data repository in a human and machine readable format, using JSON-LD. Also, secure APIs are developed to access photovoltaic data. This approach has long term scalability and maintainability.

Automated summary

The study applies FAIR principles to photovoltaic time series data to increase their reusability in the research community. Key requirements for a FAIRified dataset include a defined data format and accessible metadata. A data model separating photovoltaic data and metadata, using JSON-LD for registration, along with secure APIs for data access, ensures long-term scalability and maintainability.