Sustaining MorphoSource 3D data Repository: Supporting a transformation in research and education practices relying on biodiversity and natural history collections

维持 MorphoSource 3D 数据存储库：支持依赖生物多样性和自然历史收藏的研究和教育实践转型

• 批准号: 2149257
• 负责人: Douglas Boyer
• 金额: $ 165.87万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149257&HistoricalAwards=false
• 关键词: Sustaining; MorphoSource; 3D; data; Repository

An award to Duke University is made in support of the MorphoSource on-line data resource for 3D specimen data. MorphoSource is a web accessible data repository that is uniquely specialized for 3D/2D image data representing physical specimens from museum or lab collections. Sources of 3D data include CT scanners (a common source of 3D imagery), laser scanners, photogrammetry modeling and more. Over the last decade, MorphoSource has initiated a revolution in the study of anatomy through unprecedented data access. In addition to providing digital data and tools for scientists to conduct research, MorphoSource also supports public engagement and is being widely used for public education and outreach. By making 3D data discoverable and accessible, MorphoSource helps neutralize access limitations due to geography, capability of travel, fragility of material, or high demand. By making web accessible 3D imagery available to any student with a basic computer or mobile device, MorphoSource broadens inclusivity in use of biodiversity and natural history museum collections in a way that was never previously possible.In 2013, MorphoSource.org was created to enable broad access to digitized “virtual specimens” and 3D data for advanced analyses of anatomic phenotypes. MorphoSource has since become a vital research resource for 3D data on anatomical form of specimens in biodiversity and natural history collections. MorphoSource has been cited by ~1,100 papers for data access or archiving and served a growing, active community of 15,000 users (with ~1,600 data contributors). Achieving this status has hinged largely on its standards-based data model, file format expertise, rich management tools, and collaboratively developed policies. Furthermore, MorphoSource supports deep integrations with a variety of federally-funded bioinformatic platforms and is a natural and robust partner in national efforts at digitization of biodiversity collections for handling 3D needs. With unprecedented depth of taxonomic sampling and a powerful 3D web viewer, Morphosource has already enabled start-to-finish studies of large-scale patterns in anatomical variation from “virtual specimens” for the first time. The ability to access and measure nuanced anatomical variation in massive numbers of specimens is essential to realizing NSF’s visionary goals of leveraging computer science frontiers like machine learning, computer vision and artificial intelligence in biological research. This NSF award will allow MorphoSource to continue serving its diverse communities as they grow for the next five years and to further develop policies and procedures that will eventually empower certain segments of user communities to help support the platform. Results from studies that leverage MorphoSource are frequently published in peer-reviewed scientific journals and presented at scientific meetings and in numerous outreach and training presentations.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.

为3D标本数据提供了杜克大学的奖励，以支持Morphosource在线数据资源。 Morphosource是一个可访问的数据存储库，非常专门用于代表博物馆或实验室收藏的物理标本的3D/2D图像数据。 3D数据的来源包括CT扫描仪（3D图像的常见来源），激光扫描仪，摄影建模等。在过去的十年中，Morphosource通过前所未有的数据访问开始了解剖学研究的一场革命。除了提供数字数据和工具供科学家进行研究外，Morphosource还支持公众参与，并广泛用于公共教育和外展。通过使3D数据可发现且可访问，Morphosource有助于中和由于地理位置，旅行能力，材料的脆弱性或高需求而引起的访问限制。通过使任何具有基本计算机或移动设备的学生都可以使用网络访问的3D图像，Morphosource在生物多样性和自然历史博物馆收藏中使用以前从未做出的方式扩展。此后，Morphosource已成为生物多样性和自然历史收集中物种解剖形式的3D数据的重要研究资源。 Morphosource已被约1,100篇论文引用，用于数据访问或归档，并为15,000名用户（约1,600个数据贡献者）提供了一个不断增长的活跃社区。实现此状态的主要取决于其基于标准的数据模型，文件格式专业知识，丰富的管理工具以及协作制定的策略。此外，Morphosource支持与各种联邦资助的生物信息学平台的深入整合，并且是全国性努力的自然合作伙伴，用于数字化生物多样性收集以处理3D需求。分类抽样的空前深度和强大的3D Web观看器，Morphosource已经启用了第一次从“虚拟标本”开始对大规模变化的大规模模式的开始研究。访问和测量大量标本的分析变化的能力对于实现NSF有远见的目标至关重要，即在生物学研究中利用机器学习，计算机视觉和人工智能等计算机科学领域。 NSF奖将使Morphosource在未来五年内成长，并进一步制定政策和程序，最终将增强用户社区某些部分的能力以帮助支持该平台。从同行评审的科学期刊上发表的研究的结果经常发表在科学会议上，并在科学会议和众多的推广和培训演讲中提出。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估而被认为是珍贵的支持。