Data management and storage experts at NYU Data Services offer personalized help, both through in-person and virtual consultations. Ask us a question by emailing data.services@nyu.edu, or fill out a consultation request form on the Data Services page. You can also visit in-person during walk-in hours.

The Data Services team provides research support through classes and consultations in REDCap, data management, data visualization, and other topics. Class descriptions are below. The Data Services team also manages the NYU Data Catalog. If you would like to share descriptions of your data on the catalog, please contact datacatalog@med.nyu.edu.

Please note that our classes are intended primarily for members of the NYU community. Registrants will need to have current NYU credentials in order to attend. Data management and storage experts at NYU Data Services offer personalized help, both through in-person and virtual consultations. Ask us a question by emailing data.services@nyu.edu, or fill out a consultation request form on the Data Services page. You can also visit in-person during walk-in hours.

Data services nyu

From POS systems, payment processing solutions to m The Cancer Data Service (CDS) is a data repository under the Cancer Research Data Commons (CRDC) infrastructure for storing cancer research data generated by NCI funded programs. The CDS provides secure and authorized storage and data shari The deployment of big data analytics solutions just got easier with the debut of new Ready Solutions for Big Data. By Janet Morss | Get an Edge on Your Digital Future The integration and implementation of on-premises infrastructure for big Marketers can tap virtually limitless volumes of data about customers' online activities, but the offline world isn't nearly as forthcoming. That's where SAP aims to help. By Katherine Noyes Senior U.S. Correspondent, IDG News Service | Tod Data Portal Website API Data Transfer Tool Documentation Data Submission Portal Legacy Archive NCI's Genomic Data Commons (GDC) is not just a database or a tool.More about the GDC » The GDC provides researchers with access to standardized d Google finally opens up its speedy BigTable technology for third-party use.

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File Formatting. Summary. The purpose of Git is to manage a project, or a set of files, as it changes over time.

Former NYU Data Servcies Data Consultants will share their work experiences and the the opportunities and challenges that influenced their career development. The final 30 minutes will offer opportunities for Zoom room networking and small discussions.

This class is meant to be an overview of using Python Pandas for those who have never used it before, or who have made some progress but could use further guidance.
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File Formatting. Summary. The purpose of Git is to manage a project, or a set of files, as it changes over time.
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Data Services Student Consultants are able to provide virtual assistance for Data Services Supported Software when available.

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• Prof . 18 Nov 2020 However, research data services—support offerings which enable and And the provision of research data services varies significantly from campus to campus. See https://guides.nyu.edu/c.php?g=277095&p=1847023. An easier way to find geospatial data.

By Joab Jackson U.S. Correspondent, IDG News Service | Google has introduced a service for storing large amounts of data online, potentially enabling organizations Google finally opens up its speedy BigTable technology for third-party use By Joab Jackson U.S. Correspondent, IDG News Service | Today's Best Tech Deals Picked by PCWorld's Editors Top Deals On Great Products Picked by Techconnect's Editor The holy grail for technology companies working in the healthcare industry is becoming the gateway for all healthcare data. Big legacy providers like Epic and Cerner are trying to reach out to hospital networks to hoover up all of their dat Almost every service you use on the web that involves a username and password is in some ways collecting information about you. In some cases, that info might just be your email and a few identifying data points like your age or gender.