{"id":162,"date":"2017-08-04T00:00:00","date_gmt":"2017-08-04T00:00:00","guid":{"rendered":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/overcome-early-stage-bioprocess-data-management-challenges\/"},"modified":"2024-07-10T10:20:22","modified_gmt":"2024-07-10T10:20:22","slug":"overcome-early-stage-bioprocess-data-management-challenges","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/overcome-early-stage-bioprocess-data-management-challenges\/","title":{"rendered":"Overcome Early Stage Bioprocess Data Management Challenges"},"content":{"rendered":"<h2>Learn how a unified informatics platform can help USP and DSP teams to collaborate and optimize processes<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-598 alignright\" src=\"https:\/\/www.thermofisher.com\/blog\/wp-content\/uploads\/sites\/14\/2017\/08\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges-300x265.jpg\" alt=\"Learn how a unified informatics platform can help USP and DSP teams to collaborate and optimize processes\" width=\"300\" height=\"265\" srcset=\"https:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2017\/08\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges-300x265.jpg 300w, https:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2017\/08\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges-310x274.jpg 310w, https:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2017\/08\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges.jpg 621w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>Creating a successful therapeutic agent is the end goal of <a href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/magic-behind-laboratory-success\/\">bioprocess engineering<\/a>. This process involves a careful understanding of the most desirable conditions for production, and then reproducing these conditions during scale-up. Frequently this data is stored across many lab notebooks, lab instruments, and different departments throughout the organization. This separation of data makes it difficult to effectively and quickly pull information together, and to tell the full story of what is happening in the lab.<\/p>\n<h2>The Data Challenge of Bioprocess<\/h2>\n<p>Process development and optimization in Upstream Processing (USP) includes many different variables: cell line development and engineering, cell clone selection, media and feed development, bioprocess development and scale up, reactor design, cell harvesting, and process control and analytics. By changing and testing these variables, possibly independently, a large amount of data is created. Creating large amounts of data, comes with its own challenges: How does a USP team quickly and efficiently provide data to the Downstream Processing (DSP) teams? How can research leaders quickly access this data to make informed decisions? How can you track the origin of an impurity? If an informatics platform is used throughout an organization, it enables biopharmaceutical companies to track every piece of data generated across different labs, from cell line selection to pilot scale up. Scientists using a cohesive platform can more easily search and report on data at any step in the bioprocess workflow. This significantly reduces time spent on troubleshooting and optimizing upstream and downstream workflows.<\/p>\n<h2>An Informatics Platform Helping Scientists in the Lab<\/h2>\n<h3><strong>Sample Situation 1<\/strong><\/h3>\n<p>Imagine a scientist in the lab who is asked to quickly pull together all data associated with a particular laboratory-batch of product for the senior leadership team by end-of-day. This \u201cdrop everything\u201d situation can be an onerous task. Typically, to retrieve the data, the scientist would need to track down all lab notebooks, spreadsheets, and fellow scientists involved in the creation of that batch. The scientist would then spend time recreating the study and piecing all data together, while dealing with potentially conflicting or missing data from spreadsheets. By using an <a href=\"https:\/\/www.thermofisher.com\/uk\/en\/home\/digital-solutions\/lab-informatics\/lab-information-management-systems-lims.html\">informatics platform<\/a>, this task becomes streamlined, because the scientist can quickly review the lineage of the laboratory batch in question and report on all associated data with that batch, including who ran what assay when it was done. The scientist can be confident in the data and findings, because there is one source of truth of all information in the platform. Reports can be pulled quickly, without wasting time deciphering handwriting, guessing at the difference between conflicting data or trying to extract information from someone\u2019s head.<\/p>\n<h3><strong>Sample Situation 2<\/strong><\/h3>\n<p>As the drug candidate is being scaled from a laboratory scale batch to a pilot scale batch, a situation may arise where a scientist in DSP determines that there is an impurity in the batch. But where did this impurity come from? With an informatics platform, the scientist in the DSP team can easily determine all reagents and associated results with the batch to look for any indicators of an impurity. The scientist can also quickly review all scale up studies performed on the drug candidate to look for any possible discrepancies. The ability to perform these troubleshooting tasks within one system, allows for a more rapid and thorough investigation.<\/p>\n<h2>Solving Data Challenges with Thermo Fisher\u2122 Platform for Science\u2122 Software<\/h2>\n<p>Platform for Science software can help scientists and laboratory managers overcome their bioprocess data challenges. Platform for Science software provides a single source of truth for all data captured and reported for a pilot batch of drug product. It is a single platform solution, that allows end-to-end sample and specimen tracking across experiments and assays. The data collected in Platform for Science software is available for any point in the bioprocess stream. To create a laboratory or pilot scale batch of a drug, upstream and <a href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/introducing-hl7-messaging-capabilities-part-of-a-suite-of-product-functionality-updates-in-samplemanager-lims-software-v21-1\/\">downstream processing<\/a> teams must work closely together. To efficiently work together and make informed decisions, upstream and downstream processing teams must be able to easily retrieve, share, track, and report on data produced within their teams. With Platform for Science software, laboratory managers and scientists have the ability to quickly generate reports to enable knowledge transfer between USP and DSP teams, as well as senior leadership.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how a unified informatics platform can help USP and DSP teams to collaborate and optimize processes Creating a successful therapeutic agent is the end goal of bioprocess engineering. This process involves a careful understanding of the most desirable conditions for production, and then reproducing these conditions during scale-up. Frequently this data is stored across<\/p>\n","protected":false},"author":989,"featured_media":598,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[106,89],"tags":[254,255,95,99,256],"division":[],"class_list":{"0":"post-162","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-biopharma","8":"category-technology","9":"tag-bioprocess","10":"tag-downstream-bioprocess","11":"tag-lab-data-management","12":"tag-platform-for-science","13":"tag-upstream-bioprocess","14":"entry"},"_selected_authors":"","_selected_reviewers":"","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Overcome Early Stage Bioprocess Data Management Challenges - The Connected Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/overcome-early-stage-bioprocess-data-management-challenges\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Overcome Early Stage Bioprocess Data Management Challenges\" \/>\n<meta property=\"og:description\" content=\"Learn how a unified informatics platform can help USP and DSP teams to collaborate and optimize processes Creating a successful therapeutic agent is the end goal of bioprocess engineering. This process involves a careful understanding of the most desirable conditions for production, and then reproducing these conditions during scale-up. Frequently this data is stored across\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/overcome-early-stage-bioprocess-data-management-challenges\/\" \/>\n<meta property=\"og:site_name\" content=\"The Connected Lab\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/thermofisher\" \/>\n<meta property=\"article:published_time\" content=\"2017-08-04T00:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-10T10:20:22+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/admin.acceleratingscience.com\/connectedlab\/wp-content\/uploads\/sites\/14\/2017\/08\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"621\" \/>\n\t<meta property=\"og:image:height\" content=\"549\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"ConnectedLab Staff\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@thermofisher\" \/>\n<meta name=\"twitter:site\" content=\"@thermofisher\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ConnectedLab Staff\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/\"},\"author\":{\"name\":\"ConnectedLab Staff\",\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/connectedlab\\\/#\\\/schema\\\/person\\\/8e2f54db3b085c3f4923b35805f92559\"},\"headline\":\"Overcome Early Stage Bioprocess Data Management Challenges\",\"datePublished\":\"2017-08-04T00:00:00+00:00\",\"dateModified\":\"2024-07-10T10:20:22+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/\"},\"wordCount\":730,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/connectedlab\\\/wp-content\\\/uploads\\\/sites\\\/14\\\/2017\\\/08\\\/Overcome-Early-Stage-Bioprocess-Data-Management-Challenges.jpg\",\"keywords\":[\"Bioprocess\",\"Downstream Bioprocess\",\"Lab Data Management\",\"Platform for Science\",\"Upstream Bioprocess\"],\"articleSection\":[\"Biopharma\",\"Technology\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/\",\"url\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/connectedlab\\\/overcome-early-stage-bioprocess-data-management-challenges\\\/\",\"name\":\"Overcome Early Stage Bioprocess Data Management Challenges - 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