分享FAIR监测计划数据可以提高可发现性和重用性
Jennifer M Bayer1, Rebecca A Scully2, Erin K Dlabola3
1U.S. Geological Survey, Pacific Northwest Aquatic Monitoring Partnership, Cook, WA, 98605, USA. jbayer@usgs.gov.
Environmental monitoring and assessment
|September 4, 2023
概括
环境监测数据很有价值,但往往很难获得. 使这些数据 FAIR (可查找,可访问,可互操作,可重复使用) 将改善其发现和重复使用,用于研究和决策.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 生态生态学 生态生态学
背景情况:
- 环境监测数据对于资源管理和决策至关重要.
- 当前的数据实践往往限制了重复使用,因为程序特定的目标和不一致的文档.
- 整合来自多个长期监测计划的数据带来了重大挑战.
研究的目的:
- 根据FAIR数据原则,评估四个美国水生监测计划的数据集.
- 识别数据可访问性和可重复使用性的障碍.
- 为改善数据共享和整合提供建议.
主要方法:
- 根据可查找,可访问,可互操作和可重复使用 (FAIR) 数据原则对现有数据集的评估.
- 在不同监控计划中分析数据治理结构和文档实践.
- 识别数据格式,存储和可用资源中的不一致性.
主要成果:
- 在访问和重复使用数据方面,由于数据治理的变化和文档不一致,发现了重大挑战.
- 缺乏标准化的指导方针和资源阻碍了数据的可发现性和互操作性.
- 数据格式和存储位置往往不同,使整合工作复杂化.
结论:
- 改进数据文档和可访问性对于最大限度地提高环境监测数据的价值至关重要.
- 实施FAIR数据原则可以减少数据发现和重用障碍.
- 需要一致的指导方针,标准,工具和资源来支持数据管理和出版工作.
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