Center for the Environmental Implications of Nano Technology (CEINT), United States; Civil & Environmental Engineering, Duke University, Durham, North Carolina 27708, United States.
Center for the Environmental Implications of Nano Technology (CEINT), United States; Civil & Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States.
NanoImpact. 2021 Jul;23:100331. doi: 10.1016/j.impact.2021.100331. Epub 2021 Jun 12.
The empirical necessity for integrating informatics throughout the experimental process has become a focal point of the nano-community as we work in parallel to converge efforts for making nano-data reproducible and accessible. The NanoInformatics Knowledge Commons (NIKC) Database was designed to capture the complex relationship between nanomaterials and their environments over time in the concept of an 'Instance'. Our Instance Organizational Structure (IOS) was built to record metadata on nanomaterial transformations in an organizational structure permitting readily accessible data for broader scientific inquiry. By transforming published and on-going data into the IOS we are able to tell the full transformational journey of a nanomaterial within its experimental life cycle. The IOS structure has prepared curated data to be fully analyzed to uncover relationships between observable phenomenon and medium or nanomaterial characteristics. Essential to building the NIKC database and associated applications was incorporating the researcher's needs into every level of development. We started by centering the research question, the query, and the necessary data needed to support the question and query. The process used to create nanoinformatic tools informs usability and analytical capability. In this paper we present the NIKC database, our developmental process, and its curated contents. We also present the Collaboration Tool which was built to foster building new collaboration teams. Through these efforts we aim to: 1) elucidate the general principles that determine nanomaterial behavior in the environment; 2) identify metadata necessary to predict exposure potential and bio-uptake; and 3) identify key characterization assays that predict outcomes of interest.
随着我们努力使纳米数据具有可重复性和可访问性,将信息学整合到整个实验过程中已经成为纳米领域的一个重点。NanoInformatics Knowledge Commons (NIKC) 数据库旨在捕获纳米材料及其环境随时间变化的复杂关系,其概念是“实例”。我们的实例组织结构 (IOS) 旨在记录纳米材料转化的元数据,组织结构允许更广泛的科学研究进行更便捷的数据访问。通过将已发表和正在进行的数据转换为 IOS,我们能够讲述纳米材料在其实验生命周期内的完整转化过程。IOS 结构已经准备好对经过策展的数据进行全面分析,以揭示可观察现象与介质或纳米材料特性之间的关系。将研究人员的需求纳入到每个开发层次是构建 NIKC 数据库和相关应用程序的关键。我们首先以研究问题、查询以及支持问题和查询所需的必要数据为中心。创建纳米信息学工具所使用的过程会影响可用性和分析能力。在本文中,我们介绍了 NIKC 数据库、我们的开发过程及其经过策展的内容。我们还介绍了为促进建立新的合作团队而构建的协作工具。通过这些努力,我们旨在:1)阐明决定纳米材料在环境中行为的一般原则;2)确定预测暴露潜力和生物摄取所需的元数据;3)确定预测相关结果的关键表征分析。