Site-based data curation based on hot spring geobiology

PLoS One. 2017 Mar 2;12(3):e0172090. doi: 10.1371/journal.pone.0172090. eCollection 2017.

Abstract

Site-Based Data Curation (SBDC) is an approach to managing research data that prioritizes sharing and reuse of data collected at scientifically significant sites. The SBDC framework is based on geobiology research at natural hot spring sites in Yellowstone National Park as an exemplar case of high value field data in contemporary, cross-disciplinary earth systems science. Through stakeholder analysis and investigation of data artifacts, we determined that meaningful and valid reuse of digital hot spring data requires systematic documentation of sampling processes and particular contextual information about the site of data collection. We propose a Minimum Information Framework for recording the necessary metadata on sampling locations, with anchor measurements and description of the hot spring vent distinct from the outflow system, and multi-scale field photography to capture vital information about hot spring structures. The SBDC framework can serve as a global model for the collection and description of hot spring systems field data that can be readily adapted for application to the curation of data from other kinds scientifically significant sites.

MeSH terms

  • Data Curation / methods*
  • Data Curation / standards
  • Hot Springs*
  • Reference Standards

Grants and funding

This work was funded by Institute of Museum and Library Services (https://www.imls.gov/) National Leadership grant number LG-06-12-0706-12. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.