Abstract
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.
Original language | English |
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Title of host publication | 2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1701-1706 |
Number of pages | 6 |
ISBN (Electronic) | 9781665419222 |
DOIs | |
State | Published - Jun 20 2021 |
Event | 48th IEEE Photovoltaic Specialists Conference, PVSC 2021 - Fort Lauderdale, United States Duration: Jun 20 2021 → Jun 25 2021 |
Publication series
Name | Conference Record of the IEEE Photovoltaic Specialists Conference |
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ISSN (Print) | 0160-8371 |
Conference
Conference | 48th IEEE Photovoltaic Specialists Conference, PVSC 2021 |
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Country/Territory | United States |
City | Fort Lauderdale |
Period | 06/20/21 → 06/25/21 |
Funding
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0009353.
Keywords
- FAIR principles
- JSON-ld
- Metadata
- Photovoltaics
- RDF
- RDF/XML
- Time Series data
- W3C