Vorlage für eine lange Beschreibung von AWS Data Exchange Produkten im Gesundheitswesen und in den Biowissenschaften - AWS Data Exchange Benutzerleitfaden

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Vorlage für eine lange Beschreibung von AWS Data Exchange Produkten im Gesundheitswesen und in den Biowissenschaften

Wenn Sie ein Produkt anbieten AWS Data Exchange, sollten Sie eine ausführliche Beschreibung beifügen, die alle Informationen enthält, die Abonnenten benötigen, um zu verstehen, was Ihr Produkt bietet. Im Folgenden finden Sie eine Vorlage für eine ausführliche Beschreibung von Produkten aus den Bereichen Gesundheit und Biowissenschaften.

--- ## PRODUCT TITLE Data Product Overview Instructions: Provide a description of the data product and what it contains in this section. --- ## Use Cases Instructions: Provide a handful of use-cases or guidance of best ways to utilize the data product. --- ## Metadata Instructions: Provide metadata of your data using a table. Examples include but are not limited to: Description | Value ----|----- Update Frequency | YOUR INFO HERE Data Source(s) | YOUR INFO HERE Original Publisher of data | YOUR INFO HERE Data Creation Date | YOUR INFO HERE Data Modification Date | YOUR INFO HERE Geographic coverage | YOUR INFO HERE Time period coverage | YOUR INFO HERE Is historical data “point-in-time” | YES OR NO Data Set(s) Format(s) | YOUR INFO HERE Raw or scraped data | YOUR INFO HERE Key Fields | YOUR INFO HERE Key Words | YOUR INFO HERE Number of companies/brands covered | YOUR INFO HERE --- ## Key Data Points Key data points include: * Key Data Point: * Key Data Point: --- ## Use Cases for the Data Set Provide a handful of use-cases or guidance of best ways to utilize the data product. --- ## Target Therapeutic Area / Disease Focus Provide an overview of which therapeutic areas, diagnoses, procedures, medications, and more can be analyzed in the data listing, and can other data for different therapeutic areas be sourced. --- ## Data Engineering Overview Provide an overview of how the raw data was engineered. Questions to answer: * What data models were applied? * What standards / terminologies applied? * Was NLP post-processing used in the curation of the data? --- ## Additional Information * [Data Source] (ADD LINK HERE) * [Data Due Diligence Questionnaire] (ADD LINK HERE) * [Link to Corresponding ADX Trial Product/ Link to Corresponding ADX Paid Product] (ADD LINK HERE) --- ## Pricing Information If you would like to tell your subscribers that you would like them to inquire for custom pricing (ie you price based on other variables), you can explain here. --- ## Regulatory and Compliance Information If this section is applicable, provide an overview of the regulatory guidance and compliance for use of this product. Are there exemptions that need to be linked in order for the data product to be published? --- ## Subscription Verification Request Information If you are enabling subscription verification for your products, you may elect to indicate the information that you will require from the prospective subscriber i.e., EIN number, # of applications, # of users, # of Regions, etc. --- ## Need Help? * If you have questions about our products, contact us using the support information below. --- ## About Your Company Provide a description and/or link about your company * [Company Fact Sheet] (ADD LINK HERE)