Tsdat: An Open-Source Data Standardization Framework for Marine Energy and Beyond: Preprint

Carina Lansing, Maxwell Levin, Chitra Sivaraman, Rebecca Fao, Frederick Driscoll

Research output: Contribution to conferencePaper


Many organizations are tasked with the collection and processing of large quantities of data from various measurement devices. Data reported from these sources are often not interoperable with datasets and software used by analysts and other organizations in the same field, introducing barriers for collaboration on large-scale projects. This poses a particular problem for cross-device comparisons and machine learning applications. To address these challenges, the open source Time-Series Data Pipelines (Tsdat) software was developed by a joint collaboration between Pacific Northwest National Laboratory, the National Renewable Energy Laboratory, and Sandia National Laboratories to facilitate collaboration and accelerate advancements in the Marine Energy domain through the development of an open-source ecosystem of tools. This paper will describe the Tsdat software and the data standards within which the framework operates. A beta version of the framework has been released and is currently being used by several projects in marine energy, wind energy, and building energy systems.
Original languageAmerican English
Number of pages9
StatePublished - 2022
EventOceans Conference - San Diego, CA
Duration: 20 Sep 202123 Sep 2021


ConferenceOceans Conference
CitySan Diego, CA

Bibliographical note

See NREL/CP-5700-82499 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5700-80561


  • big data
  • data lake
  • data standards
  • interoperability
  • open-source
  • Python


Dive into the research topics of 'Tsdat: An Open-Source Data Standardization Framework for Marine Energy and Beyond: Preprint'. Together they form a unique fingerprint.

Cite this