Securing Legacy Seismic Data to Enable Future Discoveries: Albuquerque, NM - September 2019

保护传统地震数据以实现未来发现：新墨西哥州阿尔伯克基 - 2019 年 9 月

• 批准号: 1917159
• 负责人: Lorraine Hwang
• 金额: $ 5万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1917159&HistoricalAwards=false
• 关键词: Securing; Legacy; Seismic; Data; Enable

This workshop will bring together stakeholders from federal agencies, national labs, and universities who are data, domain, and computational scientists to advance community goals for creating the framework for digital preservation and access to developing digital collections. Discussion will also include the tools necessary to make these data ready for research usage. Invited keynote speakers will frame the discussions and all participants will have a chance to contribute through breakout groups, interactive polling, and poster sessions.The writing group will summarize the discussions in a document addressing the two broad goals of the workshop: Goal 1: Work towards developing the framework for preservation of longitudinal seismic data. This includes recommendations for prioritizing scanning efforts, defining metadata and data imaging standards to improve discovery and (re)use, and identifying the associated technical and social challenges. Goal 2: Create an interdisciplinary network of data, domain, and computational scientists to facilitate management, access, and use of digitally imaged legacy data.New seismological data mining methods are supporting discoveries and cross-disciplinary research across Earth system science. Such research is challenged by the relatively short time period of observation for which digital records are readily available. Historical data, recorded on paper and other physical media, potentially extend the time period of Earth observation to many decades. However, if such dark data are to be preserved and made available digitally to harness the data revolution, there are compelling challenges. The historical data are largely siloed; data are only available to scientists who can commit to traveling to specific archives or from archives capable of serving data requests. In addition, some of the physical media have been damaged or lost and/or at risk of losing stewardship. Hence, it is imperative that the community organize to preserve as well as make available these irreplaceable collections. The workshop will provide support for early-career and participants from under-represented groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该研讨会将汇集来自联邦机构，国家实验室和大学的利益相关者，这些利益相关者是数据，域名和计算科学家，以促进社区目标，以创建数字保存框架，并访问开发数字收藏的框架。讨论还将包括使这些数据准备好进行研究所需的工具。邀请的主题演讲者将构架讨论，所有参与者将有机会通过突破组，互动民意调查和海报会议做出贡献。写作小组将在一个文档中总结讨论，以解决研讨会的两个广泛目标：目标1：致力于为延长延长义主性地震数据的框架开发框架。这包括用于确定扫描工作，定义元数据和数据成像标准的建议，以改善发现和（重新）使用以及确定相关的技术和社会挑战。目标2：建立一个跨学科的数据，领域和计算科学家网络，以促进以数字化成像的遗产数据的管理，访问和使用。新的地震学数据挖掘方法正在支持跨地球系统科学的发现和跨学科研究。这项研究受到相对较短的观察时间范围的挑战，该观察期容易获得数字记录。历史数据记录在纸张和其他物理媒体上，可能会将地球观察的时间段扩展到数十年。但是，如果要保留这样的黑暗数据并以数字方式提供以利用数据革命，则会面临令人信服的挑战。历史数据在很大程度上是孤立的；数据仅适用于可以承诺前往特定档案或能够提供数据请求的档案的科学家。此外，某些物理媒体已被损坏或丢失和/或有失去管理的风险。因此，社区必须组织保存并提供这些不可替代的收藏。该研讨会将为早期职业人士和代表性不足小组的参与者提供支持。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来支持的。

项目成果

Rescuing Legacy Seismic Data FAIR’ly

公平地拯救遗留地震数据

• DOI: 10.1785/0220200027
• 发表时间: 2020
• 期刊: Seismological Research Letters
• 影响因子: 3.3
• 作者: Hwang, Lorraine J.;Ahern, Tim;Ebinger, Cynthia J.;Ellsworth, William L.;Euler, Garrett G.;Okal, Emile A.;Okubo, Paul G.;Walter, William R.
• 通讯作者: Walter, William R.