Collaborative Research: Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples

合作研究:框架:样本互联网:迈向材料样本的跨学科网络基础设施

基本信息

  • 批准号:
    2004839
  • 负责人:
  • 金额:
    $ 127.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-15 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

Research frequently uses material samples as a basic element for reference, study, and experimentation in many scientific disciplines, especially in the natural and environmental sciences, material sciences, agriculture, physical anthropology, archaeology, and biomedicine. Observations made on samples collected in the field and in the laboratory constitute a critical data resource for research that addresses grand challenges of our planet's future sustainability, from environmental change; to food, energy, and water resources; to natural hazards and their mitigation; to public health. The large investments of public funds being made to curate huge volumes of samples acquired over decades or even centuries, and to collect and analyze new samples, demand that these samples be openly accessible, easily discoverable, and documented with sufficient information to make them reusable. The current ecosystem of sample and sample data management in the U.S. and globally is highly fragmented across stakeholders, including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional and discipline-specific catalogs, practices for sample identification, and protocols for describing samples. The iSamples project is a multi-disciplinary collaboration that will develop a national digital infrastructure to provide services for globally unique, consistent, and convenient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. iSamples builds on previous initiatives to achieve these goals by providing material samples with globally unique, persistent identifiers that reliably link to landing pages with metadata describing the sample and its provenance, and which allow unambiguously linking samples with data and publications. Leveraging significant national investments, iSamples provides the missing link among (i) physical collections (e.g., natural history museums, herbaria, biobanks), (ii) field stations, marine laboratories, long-term ecological research sites, and observatories, and (iii) data repositories and cyberinfrastructure. iSamples delivers enhanced infrastructure for STEM research and education, decision-makers, and the general public. iSamples benefits national security and resource management by offering a means to assure sample provenance, improving scientific reproducibility and demonstrating compliance with ethical standards, national regulations, and international treaties.The Internet of Samples (iSamples) is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. The project will create a flexible and scalable architecture to ensure broad adoption and implementation by diverse stakeholders. iSamples will build upon existing identifier infrastructure such as IGSNs (Global Sample Number;) and ARKs (Archival Resource Keys), but is agnostic to identifier type. Likewise, iSamples will encourage a high-level metadata standard for natural history samples (across biosciences, geosciences, and archaeology), while supporting community-developed metadata standards in specialist domains. Through integration with established discipline-specific infrastructure at the System for Earth Sample Registration SESAR (geoscience), CyVerse (bioscience), and Open Context (archaeology), iSamples will extend existing capabilities, enhance consistency, and expand their reach to serve science and society much more broadly. The project includes three main objectives: 1) Design and develop iSamples infrastructure (iSamples in a Box and iSamples Central); 2) Build four initial implementations of iSamples for adoption and use case testing (Open Context, GEOME, SESAR, and Smithsonian Institution); and 3) Conduct outreach and community engagement to developers, individual researchers, and international organizations concerned with material samples. The project will follow an agile development process that includes community engagement as an important element of creating software requirements and an implementation timeline.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.
在许多科学学科中,特别是在自然和环境科学、材料科学、农业、体质人类学、考古学和生物医学中,研究经常使用材料样本作为参考、研究和实验的基本元素。对在实地和实验室收集的样本进行的观察构成了研究的关键数据资源,这些研究解决了我们地球未来可持续性的重大挑战,从环境变化;到粮食,能源和水资源;到自然灾害及其缓解;到公共卫生。公共资金的大量投资用于管理数十年甚至数百年来获得的大量样本,并收集和分析新样本,要求这些样本可以公开访问,易于检索,并记录有足够的信息,以使其可重复使用。目前美国和全球的样本和样本数据管理生态系统在利益相关者之间高度分散,包括博物馆,联邦机构,学术机构和个人研究人员,有许多机构和学科特定的目录,样本识别实践和描述样本的协议。iSamples项目是一个多学科合作项目,将开发一个国家数字基础设施,以提供全球唯一、一致和方便的材料样品识别服务;关于它们的元数据;并将它们与其他样品、衍生数据和文献中发表的研究结果联系起来。iSamples建立在以前的举措基础上,通过提供具有全球唯一的持久标识符的材料样本来实现这些目标,这些标识符可靠地链接到带有描述样本及其来源的元数据的登录页面,并允许明确地将样本与数据和出版物联系起来。iSamples利用大量国家投资,提供了以下方面缺失的环节:(i)实物收集(例如,自然历史博物馆、植物标本库、生物库);(ii)野外观测站、海洋实验室、长期生态研究站和观测站;(iii)数据储存库和网络基础设施。iSamples为STEM研究和教育、决策者和公众提供增强的基础设施。iSamples通过提供一种确保样品来源、提高科学重现性并证明符合道德标准、国家法规和国际条约的手段,为国家安全和资源管理带来益处。(iSamples)是一个多学科和多机构的项目,旨在设计、开发和推广服务基础设施,以独特、一致和方便地识别材料样品,记录关于它们的元数据,并将它们持久地链接到其他样本和衍生的数字内容,包括图像、数据和出版物。该项目将创建一个灵活和可扩展的架构,以确保不同利益攸关方的广泛采用和实施。iSamples将建立在现有的标识符基础设施之上,例如IGSN(全球样本号;)和ARK(档案资源密钥),但与标识符类型无关。同样,iSamples将鼓励为自然历史样本(跨生物科学,地球科学和考古学)制定高级别元数据标准,同时支持专业领域的社区开发元数据标准。通过与地球样品登记系统SESAR(地球科学)、CyVerse(生物科学)和Open Context(考古学)中已建立的特定学科基础设施的集成,iSamples将扩展现有功能,增强一致性,并扩大其覆盖范围,以更广泛地为科学和社会服务。该项目包括三个主要目标:1)设计和开发iSamples基础设施(iSamples in a Box和iSamples Central); 2)构建iSamples的四个初始实现,用于采用和用例测试(Open Context,GEOME,SESAR和Smithsonian Institution);以及3)对开发人员,个人研究人员和与材料样本有关的国际组织进行外展和社区参与。该项目将遵循敏捷开发流程,其中包括社区参与作为创建软件需求和实施时间轴的重要元素。该奖项反映了NSF的法定使命,并通过使用基金会的智力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

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Kerstin Lehnert其他文献

Opening doors to physical sample tracking and attribution in Earth and environmental sciences
开启地球与环境科学中实物样本追踪和归因的大门
  • DOI:
    10.1038/s41597-025-05295-z
  • 发表时间:
    2025-06-20
  • 期刊:
  • 影响因子:
    6.900
  • 作者:
    Joan E. Damerow;Natalie H. Raia;Val Stanley;Saebyul Choe;Mikayla A. Borton;Neil Byers;Ellen R. Cassidy;Shreyas Cholia;Rorie Edmunds;Brieanne Forbes;Kathleen Forrest;Amy E. Goldman;John Kunze;Sara Lafia;Kerstin Lehnert;Marcella McIntyre-Redden;Richard Naples;Dylan O’Ryan;Charles Parker;Esther Plomp;Beck Powers-McCormack;Sarah Ramdeen;Stephen Richard;Anne Thessen;Cody W. Thompson;Dave Vieglais;Kristina Vrouwenvelder;Elisha M. Wood-Charlson;Lesley Wyborn;T. B. K. Reddy;Andrea K. Thomer
  • 通讯作者:
    Andrea K. Thomer
The secret life of garnets: a comprehensive, standardized dataset of garnet geochemical analyses integrating localities and petrogenesis
石榴石的秘密生活:整合地点和岩石成因的石榴石地球化学分析的全面、标准化数据集
  • DOI:
    10.5194/essd-15-4235-2023
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    11.4
  • 作者:
    Kristen Chiama;Morgan Gabor;Isabella Lupini;Randolph Rutledge;Julia Ann Nord;Shuang Zhang;Asmaa Boujibar;Emma S. Bullock;Michael J. Walter;Kerstin Lehnert;Frank Spear;S. Morrison;Robert M. Hazen
  • 通讯作者:
    Robert M. Hazen

Kerstin Lehnert的其他文献

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{{ truncateString('Kerstin Lehnert', 18)}}的其他基金

Collaborative Research: Facility: Next Generation Interoperable Data Infrastructure for Geoscience Sample Data (EarthChem, LEPR/traceDs, SESAR): IEDA Re-invented
协作研究:设施:用于地球科学样本数据的下一代可互操作数据基础设施(EarthChem、LEPR/traceDs、SESAR):IEDA 重新发明
  • 批准号:
    2148939
  • 财政年份:
    2022
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Cooperative Agreement
2022 NSF CSSI PI Meeting
2022 NSF CSSI PI 会议
  • 批准号:
    2231431
  • 财政年份:
    2022
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant
RCN: Sampling Nature: A Network to Enhance the Natural History Value Chain for Sustainability Science
RCN:自然采样:增强可持续科学自然历史价值链的网络
  • 批准号:
    2129268
  • 财政年份:
    2021
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant
Collaborative Research: Network Hub: Enabling, Supporting, and Communicating Critical Zone Research.
协作研究:网络中心:启用、支持和交流关键区域研究。
  • 批准号:
    2012593
  • 财政年份:
    2020
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Continuing Grant
Collaborative Research: EarthChem & SESAR - Data Infrastructure for Geochemistry and Earth Science Samples Communities
合作研究:EarthChem
  • 批准号:
    1948806
  • 财政年份:
    2020
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Continuing Grant
Collaborative Research: EarthCube Data Capabilities: A data-driven modeling infrastructure to support research and education in volcanology, geochemistry and petrology
协作研究:EarthCube 数据功能:数据驱动的建模基础设施,支持火山学、地球化学和岩石学的研究和教育
  • 批准号:
    2026916
  • 财政年份:
    2020
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant
EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit
EarthCube 数据功能:协作提案:缩短地球科学的科学时间:促进融合、包容和信用的注释
  • 批准号:
    1928333
  • 财政年份:
    2019
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant
Collaborative Proposal: EarthCube Integration: THROUGHPUT: Standards and Services for Community Curated Repositories
协作提案:EarthCube 集成:吞吐量:社区策划存储库的标准和服务
  • 批准号:
    1740663
  • 财政年份:
    2017
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant
IEDA 2016-2021: Operation of a Multi-Disciplinary Data Facility for the Earth Science Community
IEDA 2016-2021:地球科学界多学科数据设施的运营
  • 批准号:
    1636653
  • 财政年份:
    2017
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Cooperative Agreement
Collaborative Research: Proposal for an NSF-Wide Workshop to Explore the Prospects for a Common Response to the Requirements for Public Access to Research Data
合作研究:提议召开 NSF 范围内的研讨会,探讨对公众获取研究数据的要求做出共同回应的前景
  • 批准号:
    1655160
  • 财政年份:
    2016
  • 资助金额:
    $ 127.76万
  • 项目类别:
    Standard Grant

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