{"id":24919,"date":"2021-08-30T03:34:35","date_gmt":"2021-08-30T03:34:35","guid":{"rendered":"https:\/\/www.rightsdirect.com\/?post_type=blog_post&#038;p=24919"},"modified":"2021-09-20T19:39:01","modified_gmt":"2021-09-20T19:39:01","slug":"competitive-intelligence-teams-besseren-zugang-zu-wissenschaftlicher-literatur-ermoeglichen","status":"publish","type":"blog_post","link":"https:\/\/www.rightsdirect.com\/de\/blog\/competitive-intelligence-teams-besseren-zugang-zu-wissenschaftlicher-literatur-ermoeglichen\/","title":{"rendered":"Competitive-Intelligence-Teams besseren Zugang zu wissenschaftlicher Literatur erm\u00f6glichen"},"content":{"rendered":"<p>Das manuelle Durchsuchen riesiger Mengen wissenschaftlicher Literatur und Daten ist eine Herausforderung f\u00fcr fast jeden Bereich einer forschungs- und entwicklungsintensiven Organisation. Entgangene relevante Informationen k\u00f6nnen extrem kostspielige Auswirkungen haben, insbesondere f\u00fcr Competitive-Intelligence-Teams, die f\u00fcr das Verst\u00e4ndnis der Marktumgebung zust\u00e4ndig sind, da die Markteinf\u00fchrungsstrategie des Unternehmens unmittelbar dadurch bestimmt wird.<\/p>\n<p>Wenn Sie \u00fcber Ihre Strategie f\u00fcr eine kluge Wettbewerbs- und Konkurrenzanalyse nachdenken, sollten Sie die folgenden Fragen ber\u00fccksichtigen:<\/p>\n<p><em>Weiter geht es hier mit dem englischen Originalbeitrag, der zuerst im Blog unseres Mutterunternehmens Copyright Clearence Center ver\u00f6ffentlicht wurde.<\/em><\/p>\n<p><strong><em>Do\u00a0we\u00a0have a way to monitor competitive intel in a collaborative way?\u00a0<\/em><\/strong><\/p>\n<p>When\u00a0articles, press releases, journals\u00a0and\u00a0other\u00a0data are\u00a0stored in different\u00a0systems\u00a0and locations, you\u00a0can\u2019t be\u00a0sure everyone\u00a0charged with monitoring competitive intel\u00a0has\u00a0access and\u00a0rights to\u00a0share\u00a0that\u00a0content.\u00a0We often hear from organizations where employees are\u00a0storing\u00a0content on their individual hard drives, making it\u00a0very difficult\u00a0to\u00a0collaborate on\u00a0new materials coming in.<\/p>\n<p>Using\u00a0one convenient workflow to purchase, organize, and collaborate on content\u00a0can\u00a0provide competitive intelligence teams the tool they need to collaborate and share\u00a0information. With a\u00a0<a href=\"http:\/\/www.copyright.com\/wp-content\/uploads\/2019\/07\/RightFind-Shared-and-Personal-Libraries.pdf\">shared library tool<\/a>, users can create libraries for approved team members where all information related to\u00a0a specific product, therapeutic, or\u00a0topic of\u00a0research\u00a0can\u00a0not only\u00a0be accessed, but also annotated\u00a0and highlighted.\u00a0Automated alerts\u00a0can also\u00a0be set up\u00a0to\u00a0help\u00a0individuals or teams\u00a0receive\u00a0the most relevant information\u00a0about their focus area without having to search for it.<\/p>\n<h4><strong><em>Do we\u00a0have a\u00a0platform\u00a0to search\u00a0across\u00a0data sources in aggregate?\u00a0<\/em><\/strong><strong><em>\u00a0<\/em><\/strong><\/h4>\n<p>The ability to access\u00a0data such as\u00a0clinical trial information, drug and device patents, sales forecasts, scholarly articles, poster presentations, and more,\u00a0is critical to gain a well-rounded perspective on the market.<\/p>\n<p>When employees must consult multiple sources to find all the data they need,\u00a0it\u2019s a massive manual undertaking.\u00a0 By\u00a0bringing together\u00a0data from\u202fpublicly available sources with licensed content and\u202finternal proprietary data into\u00a0a single\u00a0interface, connecting the dots\u00a0within\u00a0competitive intelligence information becomes an intuitive process instead of a manual one.<\/p>\n<p>This is\u00a0also\u00a0an area where knowledge graphs can play a significant role. An excerpt from\u00a0<a href=\"http:\/\/www.copyright.com\/blog\/knowledge-graphs-solving-business-problems\/\">How Knowledge Graphs Solve a Diverse Set of Business Problems<\/a>\u00a0provides the following example:<\/p>\n<p><em>\u201cA group working in business intelligence might be interested in which drugs are being developed to treat a particular disease. This could require linking across scientific and medical literature as well as clinical trials databases. Going further, a full business intelligence landscape might draw from many more sources. Drug pipeline and clinical trials data can tell a team much about what competitors are investing in. Finding links between those pipelines and mergers and acquisitions from SEC filings, industry news, and patent filings can give further clues. It\u2019s not\u00a0hard to see how a complex graph of disparate information sources with information coming in multiple shapes and sizes can be cross-referenced to gain extraordinary insight.\u201d<\/em>-referenced to gain extraordinary insight.\u201d<\/p>\n<h4><strong><em>Do\u00a0we\u00a0have the tools\u00a0to\u00a0synthesize large amounts of data?<\/em><\/strong><strong><em>\u00a0<\/em><\/strong><\/h4>\n<p>Bringing together multiple internal and external data sources can\u00a0potentially\u00a0mean information overload. But it doesn\u2019t have to be overwhelming with\u00a0advanced capabilities like\u00a0natural language processing and semantic enrichment\u00a0tools\u00a0that help synthesize and make sense of that data.<\/p>\n<p>Text mining\u00a0can enable\u00a0competitive intelligence teams\u00a0to automatically analyze massive amounts of information quickly to extract data, assertions, and facts from unstructured text sources specific to a particular research topic.<\/p>\n<p>For example,\u00a0<a href=\"http:\/\/www.copyright.com\/blog\/using-real-world-data-commercial-pharmaceutical-insights\/\">our partners at Linguamatics describe<\/a>\u00a0how\u00a0one top pharma company utilized text mining to extract, normalize, and visualize\u00a0data\u00a0to inform their\u00a0commercial strategy:<\/p>\n<p><em>\u201cThe company\u00a0used structured data\u00a0from\u00a0scientific journals, abstracts, and conferences\u00a0to generate a comprehensive understanding\u00a0of\u00a0the market\u00a0\u2018gaps\u2019\u00a0they could address. Focusing on a particular therapeutic area of immunological diseases, the organization was able to develop precise searches with increased recall across these different data sources.\u201d<\/em><\/p>\n<p>And when it comes to semantic enrichment,\u00a0consider competitor\u00a0patent\u00a0filings. They\u00a0can be explored alongside non-patent literature (NPL), enriched using the same vocabularies,\u00a0to provide a fuller\u00a0picture of competitor strategy, claims, and prior art for patent landscaping or other\u00a0purposes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Das manuelle Durchsuchen riesiger Mengen wissenschaftlicher Literatur und Daten ist eine Herausforderung f\u00fcr fast jeden Bereich einer forschungs- und entwicklungsintensiven Organisation. <\/p>\n","protected":false},"author":169,"featured_media":24951,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"internal_tag":[],"topic":[],"coauthors":[],"class_list":["post-24919","blog_post","type-blog_post","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Competitive-Intelligence-Teams besseren 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