Securing Legacy Seismic Data to Enable Future Discoveries: Albuquerque, NM - September 2019
Securing Legacy Seismic Data to Enable Future Discoveries: Albuquerque, NM - September 2019
批准号:
1917159
负责人:
Lorraine Hwang
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2019-03-01 至 2021-12-31
中文摘要
这次研讨会将聚集来自联邦机构、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,以推动社区目标,创建数字保存框架和获取开发中的数字收藏。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。受邀的主旨演讲者将制定讨论框架,所有与会者将有机会通过分组讨论、互动投票和海报会议作出贡献。编写小组将在一份文件中总结讨论情况,阐述研讨会的两个广泛目标:目标1:努力制定保存纵向地震数据的框架。其中包括以下建议:确定扫描工作的优先顺序、定义元数据和数据成像标准以改进发现和(重新)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。这种研究受到相对较短的观察时间的挑战,而数字记录是现成的。记录在纸上和其他物理介质上的历史数据可能会将地球观测的时间周期延长到几十年。然而,如果要保存这样的黑暗数据,并以数字方式提供,以利用数据革命,就会面临严峻的挑战。历史数据在很大程度上是孤立的;只有那些致力于前往特定档案馆或从能够满足数据请求的档案馆的科学家才能获得数据。此外,一些物理介质已损坏或丢失和/或面临失去管理的风险。因此,当务之急是社区组织起来,保存并提供这些不可替代的藏品。研讨会将为职业生涯早期和来自代表性不足群体的参与者提供支持。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
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.
Facility: Computational Infrastructure for Geodynamics
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批准号:2149126
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项目类别:Cooperative Agreement
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资助金额:$575.0万
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财政年份:2023
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负责人:Lorraine Hwang
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依托单位:
Computational Infrastructure for Geodynamics
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批准号:1550901
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项目类别:Cooperative Agreement
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资助金额:$882.0万
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财政年份:2016
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负责人:Lorraine Hwang
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依托单位:
海外基金