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Data Management Software Product List

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[Market Report] Scientific Data Management System (SDMS) Market

[Market Report] Scientific Data Management System (SDMS) Market

The global market for Scientific Data Management Systems (SDMS) is rapidly expanding and is projected to reach 1.94 billion USD by 2031.

The global Scientific Data Management System (SDMS) market is poised for exceptional growth in the coming years, supported by the increasing importance of efficient data handling and analysis in the scientific and research fields. In 2022, the market recorded revenues of 72.41 million USD, and this trajectory is set to soar to unprecedented heights. By 2031, the global SDMS market is expected to achieve an astounding revenue of 1.94 billion USD, with a remarkable compound annual growth rate (CAGR) of 44.1% projected during the forecast period from 2023 to 2031. Scientific research across various domains heavily relies on the collection, management, analysis, and interpretation of data. The SDMS market is not only expanding but also rapidly evolving to meet the multifaceted needs of the scientific community. For application methods, please check the [PDF download] button or apply directly through the related links.

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業務の効率を落とさずデータインテグリティを担保

業務の効率を落とさずデータインテグリティを担保

海外からの査察時でも安心。世界で実績多数のCDS（Chromatography Data System）とラボ管理システム

現在、規制当局が最も注目しているのが「データインテグリティ」です。 各国からガイドラインが発出され、データインテグリティにかかわる警告文書も多く出されています。 その要素 ・結果を導いたすべてのデータを保持しているか ・オーディットトレイルのレビューが実施されているか ・適切なOOS調査を実施しているか 業務の効率を落とさずデータインテグリティを担保する方法・・・あるのでしょうか？ [Enpower 3 でクロマトデータの取り込み、管理、解析、レポートをより効率化][NuGenesis LMSでクロマト以外の機器データも一括管理] ★DIの情報を集約したページOPEN★ http://www.waters.com/waters/nav.htm?locale=ja_JP&cid=134942023&xcid=ext2833 ★インハウスセミナー（無料でご指定の場所で開催）のプログラムをご用意いたしました。是非ご利用ください。 http://www.waters.com/waters/eventInstance.htm?eiid=134932707&xcid=ext2834

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[LOGS Implementation Case] Karlsruhe Chemical and Veterinary Investigation Office

[LOGS Implementation Case] Karlsruhe Chemical and Veterinary Investigation Office

Introducing a case that significantly reduced the time required for organizing spectral data!

We would like to introduce a case where our product 'LOGS' was implemented at the Karlsruhe Chemical and Veterinary Investigation Office. Before the implementation, it took several months to organize data for analysis, and as the number of search criteria increased, the time required for data organization, such as sorting data, grew exponentially. After the implementation, data could be automatically uploaded without the need for human intervention, and sample and project information could also be automatically linked, significantly reducing the time required for these tasks. [Challenges] ■ Spent several months organizing data for analysis ■ Finding the necessary NMR spectra using related metadata was a very complicated process *For more details, please download the PDF or feel free to contact us.

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