First out-of-the-box, low-code SaaS platform designed together by scientists and technologists to shorten drug discovery funnel, reduce costs of drug therapy R&D

首先，由科学家和技术人员共同设计的低代码SaaS平台，缩短药物发现漏斗，降低药物治疗研发成本

BOSTON, Oct. 24, 2023 /PRNewswire/ -- Dotmatics, a leader in R&D scientific software connecting science, data, and decision-making, today announced the launch of Dotmatics Luma™, a revolutionary new scientific data platform that helps scientists and administrators in life sciences unify and analyze large volumes of data for better decision-making.

2023年10月24日，波士顿/PRNewswire/-Dotmatics是连接科学，数据和决策的研发科学软件的领导者，今天宣布推出Dotmatics Luma™, 一个革命性的新科学数据平台，帮助生命科学的科学家和管理人员统一和分析大量数据，以实现更好的决策。

Luma™ provides customers an out of the box, low-code SaaS platform that flexibly aggregates all relevant data into intelligent data structures enabling clean, reliable data analysis and paving the way for meta-analysis and AI & ML-based algorithms. Learn more at: http://dotmatics.com/luma-data-management-platform. .

Luma™ 为客户提供开箱即用的低代码SaaS平台，可灵活地将所有相关数据汇总到智能数据结构中，从而实现清洁，可靠的数据分析，并为元分析和基于AI＆ML的算法铺平道路。了解更多信息：http://dotmatics.com/luma-data-management-platform. .

Rapid growth in the volume of scientific data has created bottlenecks for scientists, who must routinely create workarounds to access data in difficult places requiring them to step away from their primary work of discovery. For scientific organizations, the return on investment of R&D has decreased substantially over the past decade, even while technologies have purported to help ROI and aid in digital transformation..

科学数据量的快速增长给科学家带来了瓶颈，科学家们必须定期制定解决办法，在困难的地方访问数据，要求他们摆脱主要的发现工作。对于科学组织而言，过去十年来研发投资回报率大幅下降，尽管技术据称有助于投资回报率和辅助数字转型。。

'With Dotmatics Luma, we are empowering scientists to answer their most difficult questions by delivering an adaptable scientifically-aware data platform that scientists can easily control, and that can handle both the volume and complexity of data at exponential scale,' said Thomas Swalla, CEO at Dotmatics.

Thomas Swalla说：“通过Dotmatics Luma，我们有能力通过提供科学家可以轻松控制的适应性科学感知数据平台来回答他们最困难的问题，并且可以以指数级处理数据的数量和复杂性。”Dotmatics首席执行官。

'Our goal is to help life science companies shorten the drug discovery funnel and reduce the costs of drug therapy R&D from billions to millions of dollars.'.

“我们的目标是帮助生命科学公司缩短药物发现漏斗，将药物治疗研发成本从数十亿美元降低到数百万美元。”。

The Challenge of Harmonizing Instrument Data in the Lab

在实验室中协调仪器数据的挑战

Within any lab, the collection of disparate instruments creates a time intensive exercise to align the data outputs which are handled differently from instrument to instrument. Some instrument outputs are encrypted with outputs that aren't human readable which forces the use of vendor-specific tools and manual annotation of results or requires a series of scripts and parsers to read and access the data.

在任何实验室中，不同仪器的收集都会进行耗时的练习，以调整不同仪器之间处理的数据输出。一些仪器输出使用不可读的输出进行加密，这迫使使用供应商特定的工具和结果的手动注释，或需要一系列脚本和解析程序来读取和访问数据。

Non-file based instruments frequently lack intelligible APIs or SDKs, forcing advanced scripting and modeling activities on R&D teams who must learn and create esoteric models to fully access their data..

非基于文件的工具通常缺乏可理解的API或SDK，迫使研发团队进行高级脚本和建模活动，这些团队必须学习并创建深奥模型才能完全访问其数据。。

As humans work to coalesce the various outputs that are required to make sense of the data outputs across instruments, there are significant data integrity risks introduced. And as instrumentation manufacturers update and change formats, labs find that scripts break and require updates which halts any automated data wrangling or analysis efforts..

随着人类努力整合理解仪器数据输出所需的各种输出，引入了重大的数据完整性风险。随着仪器制造商更新和更改格式，实验室发现脚本中断并需要更新，从而停止任何自动数据混乱或分析工作。。

The challenge of harmonizing data from instruments can reduce the freedom of choice for companies with a long history with a single vendor and their outputs, and leads to long onboarding times for new instruments or expensive migrations to update data models for historic data.

协调仪器数据的挑战可能会降低与单一供应商及其输出有悠久历史的公司的选择自由，并导致新仪器的入职时间延长或昂贵的迁移以更新历史数据的数据模型。

These instrumentation challenges, combined with the general challenges and cost of maintaining on-premise or client-cloud solutions, ultimately result in significant IT overhead costs and time to manage, creating drastic increases in the overall time and costs of R&D.

这些仪器挑战与维护内部或客户端云解决方案的一般挑战和成本相结合，最终导致大量IT开销成本和管理时间，从而导致研发的总体时间和成本大幅增加。

Centralize Data from any Instrument using Luma Lab Connect

使用Luma Lab Connect集中来自任何仪器的数据

To address these instrumentation challenges in the lab and as the first component of Luma to be released, Dotmatics now offers Luma Lab Connect to drive FAIR data through automated data management and data wrangling of instrument files.

为了解决实验室中的这些仪器挑战以及作为Luma发布的第一个组件，Dotmatics现在提供Luma lab Connect，通过自动数据管理和仪器文件的数据打包来驱动公平数据。

Using Luma Lab Connect, customers can ingest files from any file-based instrument into the Dotmatics cloud. The Luma Lab Connect parsing engine automatically parses files to extract and wrangle embedded descriptive metadata and scientific data with minimal configuration. Agents are remotely managed, monitored by Dotmatics for stability, and require no configuration beyond instructions on which directories to watch for new data.

使用Luma Lab Connect，客户可以将任何基于文件的仪器中的文件摄入Dotmatics cloud。Luma Lab Connect解析引擎自动解析文件，以最少的配置提取和缠绕嵌入的描述性元数据和科学数据。代理由远程管理，由Dotmatics监控以确保稳定性，并且不需要超出要在哪个目录上监视新数据的指令之外的配置。

The data is then automatically made available for modeling and enrichment within the broader Luma Platform..

然后，数据将自动用于更广泛的Luma平台内的建模和丰富。。

The result through Luma is a harmonized and value-driven approach to ingesting, extracting, accessing, and integrating FAIR data which empowers scientists and reduces the burden on IT, collectively reducing the time and costs of R&D.

通过Luma的结果是一种统一的，价值驱动的方法来摄取，提取，访问和整合公平数据，从而赋予科学家权力并减轻其负担，共同减少研发的时间和成本。

A Revolutionary Vision for Luma

Luma的革命性愿景

As customers look to future capabilities of Luma, Dotmatics will add AI functionality with generative AI query-building options and over time predictive and adaptive AI that will greatly augment lab testing and decision-making procedures. Key features of Luma will include:

随着客户关注Luma的未来功能，Dotmatics将通过生成AI查询构建选项以及随时间推移的预测和自适应AI添加AI功能，这将大大增强实验室测试和决策程序。Luma的主要功能包括：

Low-Code App Building Platform: Built on Databricks, customers can build scientific applications with common design patterns to power the next generation of data science and bench science.

低代码应用程序构建平台：基于数据库，客户可以构建具有通用设计模式的科学应用程序，为下一代数据科学和实验台科学提供动力。

Your Data – Whenever, Wherever, However You Want It: Data is ingested from Dotmatics ELN, Data Discovery, Luma Lab Connect, and can encompass a variety of data sources such as animal studies, clinical studies, material registries, files, or other scientific systems. That data can then be modeled, stored, processed, or extracted as necessary – all with a governance framework that customers define..

您的数据-无论何时何地，无论您想要它：数据来自Dotmatics ELN，数据发现，Luma Lab Connect，并且可以包含各种数据源，如动物研究，临床研究，材料注册，文件或其他科学系统。然后可以根据需要对数据进行建模，存储，处理或提取-所有这些数据都具有客户定义的治理框架。。

Maximize the Value of Your Data: Customers get the most out of their data via a data value chain that progressively enriches, correlates, contextualizes, and increases the value of data. Ingest data into raw storage for immediate access in its original unstructured or semi-structured format; model logical tables, columns, and relationships to harmonize and establish connections between disparate data silos; execute more advanced data processing and enrichment activities on top of your structured data; and much more..

最大限度地发挥数据价值：客户通过数据价值链从数据中充分利用数据，逐步丰富，关联，关联和提高数据价值。将数据摄取到原始存储中，以便以原始的非结构化或半结构化格式立即访问；建立逻辑表，列和关系模型，以协调和建立不同数据仓库之间的联系；在结构化数据之上执行更高级的数据处理和丰富活动；还有更多。。

API First: Supports on-demand access to your data. Choose from REST, GraphQL, or JDBC to enable your internal or 3rd party tools, such as Tableau, PowerBI, or Spotfire.

API优先：支持按需访问您的数据。从REST，GraphQL或JDBC中进行选择，以启用您的内部或第三方工具，例如Tableau，PowerBI或Spotfire。

Labs interested in Dotmatics Luma should visit http://dotmatics.com/luma-data-management-platform or customers may contact their account representative.

对Dotmatics Luma感兴趣的实验室应该访问http://dotmatics.com/luma-data-management-platform或者客户可以联系他们的帐户代表。

Cautionary Note Regarding Forward-Looking Statements

关于前瞻性陈述的警示

This news release contains forward-looking statements that are intended to outline our general product strategy. It is intended for informational purposes only and speaks only as of the date they are made. It is not a commitment to deliver any functionality and should not be relied upon for making purchase decisions.

本新闻稿包含前瞻性声明，旨在概述我们的一般产品策略。它仅供参考，仅在作出日期时才发言。这不是提供任何功能的承诺，不应该依赖于做出购买决定。

You should not put any reliance on these statements. The development, release, and timing of any products or capabilities remains at the sole discretion of Dotmatics. No representation or warranty, express or implied, is provided in relation to the fairness, accuracy, correctness, completeness or reliability of the information, opinions or conclusions expressed herein..

你不应该依赖这些陈述。任何产品或功能的开发，发布和时间由Dotmatics自行决定。对于本文所表达的信息，意见或结论的公平性，准确性，正确性，完整性或可靠性，不提供任何明示或暗示的陈述或保证。。

About DotmaticsDotmatics is a leader in R&D scientific software connecting science, data, and decision-making. Its enterprise R&D platform and scientists' favorite applications drive efficiency and accelerate innovation. More than 2 million scientists and 10,000 customers trust Dotmatics to help them create a healthier, cleaner, safer world.

关于DotmaticsDotmatics是连接科学，数据和决策的研发科学软件的领导者。其企业研发平台和科学家喜欢的应用程序可以提高效率，加速创新。超过200万科学家和10000名客户相信Dotmatics帮助他们创造一个更健康，更清洁，更安全的世界。

Dotmatics is a global team of more than 800 people dedicated to supporting its customers in over 180 countries. The company's principal office is in Boston, with 14 offices and R&D teams located around the world..

Dotmatics是一个由800多人组成的全球团队，致力于支持180多个国家的客户。该公司的总部位于波士顿，全球有14个办公室和研发团队。。

Dotmatics is backed by Insight Partners, a leading global venture capital and private equity firm investing in high-growth technology and software scaleup companies. Learn more about Dotmatics, its platform, and applications including GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives at https://www.dotmatics.com..

Dotmatics得到Insight Partners的支持，Insight Partners是一家领先的全球风险投资和私募股权公司，投资于高增长技术和软件规模公司。了解更多关于Dotmatics，其平台和应用程序的信息，包括GraphPad Prism，Geneious，SnapGene，Protein Metrics和LabArchiveshttps://www.dotmatics.com..

SOURCE Dotmatics Inc

Source Dotmatics Inc