@article{b213a355ec634062b2c17f20005a2e65,
title = "Site-based data curation based on hot spring geobiology",
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.",
author = "Palmer, {Carole L.} and Thomer, {Andrea K.} and Baker, {Karen S.} and Wickett, {Karen M.} and Hendrix, {Christie L.} and Ann Rodman and Stacey Sigler and Fouke, {Bruce W.}",
note = "The aim of the Site-Based Data Curation project (SBDC) is to develop an approach for retaining the value of digital data collected from scientifically significant sites (hereafter referred to as site-based data) for reuse across disciplines. The investigation grew out of our previous work analyzing data curation requirements for more than a dozen scientific subfields [–], where site factors emerged as key aspects of data value for researchers in the earth sciences. Sites of data collection are central to many field sciences, as seen for example in the {"}site-based network approach” applied by the Long-Term Ecological Research (LTER) Network to community-oriented data management at designated biomes, beginning in the 1980s []. The SBDC project, funded by the Institute for Museum and Library Services, was motivated by the risks to valid reuse of site-based data through the loss of vital contextual information, as researchers increasingly share their data through institutional and domain repositories, as well as the potential for data services to build rich aggregations of data collected from important research sites.",
year = "2017",
month = mar,
doi = "10.1371/journal.pone.0172090",
language = "English (US)",
volume = "12",
journal = "PloS one",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "3",
}