Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits
通过黄石国家公园和拉布雷亚沥青坑两个案例，研究了科学重要场地的数据实践，提出了支持整合性数据再利用的信息框架，对研究人员和资源管理者有价值。
Abstract Scientifically significant sites are the source of, and long‐term repository for, considerable amounts of data—particularly in the natural sciences. However, the unique data practices of the researchers and resource managers at these sites have been relatively understudied. Through case studies of two scientifically significant sites (the hot springs at Yellowstone National Park and the fossil deposits at the La Brea Tar Pits), I developed rich descriptions of site‐based research and data curation, and high‐level data models of information classes needed to support integrative data reuse. Each framework treats the geospatial site and its changing natural characteristics as a distinct class of information; more commonly considered information classes such as observational and sampling data, and project metadata, are defined in relation to the site itself. This work contributes (a) case studies of the values and data needs for researchers and resource managers at scientifically significant sites, (b) an information framework to support integrative reuse at these sites, and (c) a discussion of data practices at scientifically significant sites.