I-Corps: Customer Interview and Discovery for a Revolutionary Electronic Lab Notebook

这个I-Corps团队正在通过消除实验中的冗余、创造一个更具协作性的环境和保护知识产权来彻底改变研究方法。随着更多的科学家有时间承担更大的任务，研究能力将会提高，从而加快科学发现的步伐。除了效率问题，手写系统和数字结果之间也存在差距。该团队试图缩小这一差距，并创建一个包含所有相关实验信息和分析的无缝数字环境。数字合并使科学家能够快速访问研究档案，避免了在笔记本电脑堆中进行数小时的手动搜索。数十亿美元被浪费在维护纸质实验室笔记本所需的资源、时间和组织上。拟议的系统Labii ELN创建了一个数字环境来组织和简化研究。这个团队将采用一种独一无二的方法，利用协议模板来停止所有重复的行为，第一次将它们模板化，以便于重用。拟议的技术将允许用户创建协议模板（根），然后创建分支实验文档（节点），这些文档由实验过程中更改的可变字段组成。这意味着需要处理的信息更少，需要输入的信息也更少。根和节点之间的连接支持诸如摘要分析之类的新颖功能。该团队目前的商业化计划将从针对湿实验室研究人员开始。在学术方面，团队将从湾区的大学（斯坦福大学、加州大学伯克利分校、加州大学旧金山分校）开始。在工业领域，该团队将以中小型生物医学和制药公司为目标。一旦beta测试完成，团队添加了客户推荐的功能，这个I-Corps将寻求在全国范围内采用。

This I-Corps team is working to revolutionize research methodology by removing redundancies in experimentation, creating a more collaborative environment, and securing intellectual property. Research capacity will increase as more scientists have time to take on larger tasks, thereby accelerating the pace of scientific discovery. Beyond efficiency issues, a gap has also been developing between handwritten systems and digital results. This team seeks to close that gap and create a seamless digital environment containing all pertinent experimental information and analytics. A digital mergence allows scientists to quickly access research archives and avoids hours of manual searching through notebook stacks. Billions of dollars are wasted on resources, time, and organization required for paper lab notebook maintenance. The proposed system, Labii ELN, creates a digital environment to organize and simplify research. This team will take a one of a kind approach and utilize protocol templates for ceasing all repetitive behaviors, templating them the first time for easy reuse. The proposed technology will allow users to create protocol templates (root) followed by branched experimental documents (nodes), which are composed of variable fields that are altered during experimentation. This means less information is worked with and requires inputting. The connection between roots and nodes allows for novel features like Summary Analysis. The team's current commercialization plan will start with targeting wet lab researchers. On the academic side, the team will start with Universities in the bay area (Stanford University, UC Berkeley,UCSF). In industry, the team will target small and medium size biomedical and pharmaceutical companies. Once beta testing is completed and the team has added features recommended by customers, this I-Corps will seek nationwide adoption.