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.

本次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，他们是数据，领域和计算科学家，以推进社区目标，为数字保存和访问开发数字馆藏创建框架。讨论还将包括使这些数据为研究用途做好准备所需的工具。邀请的主旨发言人将组织讨论，所有与会者将有机会通过分组讨论、互动投票和海报展示等方式发表意见。写作小组将在一份文件中总结讨论情况，该文件涉及研讨会的两大目标：目标1：努力制定纵向地震数据保存框架。这包括对扫描工作进行优先排序的建议，定义元数据和数据成像标准以改进发现和（再）使用，以及确定相关的技术和社会挑战。目标2：创建一个由数据、领域和计算科学家组成的跨学科网络，以促进数字成像遗留数据的管理、访问和使用。新的地震数据挖掘方法正在支持地球系统科学的发现和跨学科研究。由于观察时间相对较短，数字记录很容易获得，因此这种研究受到挑战。记录在纸上和其他物理媒介上的历史数据有可能将地球观测的时间延长到几十年。然而，如果要保存这些暗数据并以数字方式提供以利用数据革命，则存在引人注目的挑战。历史数据在很大程度上是孤立的;数据只提供给那些能够承诺前往特定档案馆或能够满足数据请求的档案馆的科学家。此外，一些物理介质已损坏或丢失，和/或面临失去管理权的风险。因此，社区必须组织起来保护和提供这些不可替代的收藏品。这个奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.