Sentence examples for data to collaborate from inspiring English sources

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For example, Yogurt-maker Dannon is using ClearStory to bring together data to collaborate on the analysis of the company's supply chain.

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Founded by Sir Tim Berners-Lee, the institute hosts sessions from world-class open data experts to collaborate, nurture and mentor new ideas.The institute enables councils to learn about and engage with open data, empowering teams to help local government through professional coaching and mentoring.

We have borrowed from the design principles of the web itself to bring people and organisations together, and will use open data both to collaborate with each other, and as the primary output of the network".

"It was found that Mr Valcke deliberately tried to obstruct the ongoing proceedings against him by attempting to delete or deleting several files and folders relevant to the investigation, despite being aware of his duty to preserve all data and to collaborate in order to establish the facts of the case," it said.

Although, private protocols encourage data owners to collaborate, they introduce a new drawback for partnership.

It is evident that physicians can be trained to use well-organized SMBG data and to collaborate with patients to make timely and effective treatment decisions to improve glycemic control.

For example, if you share or are willing to share a particular data set, a researcher who wants to study that data may invite you to collaborate on an analysis you wouldn't have pursued yourself.

To further encourage data users and producers to collaborate, a meeting was convened that included decision makers, program managers, and M&E specialists at the national level from MSHP and the three other ministries with HIV and AIDS programs.

We believe that ELNS will significantly improve reproducibility of scientific experiments, contribute to the data traceability and data annotation and enable scientists to collaborate and share results in an intuitive manner.

Researchers need to collaborate with data providers and those designing data linkage algorithms, in order to reduce errors in patient identifiers, data linkage errors and their harmful consequences.

They created the enterprise product to connect the people inside an organization who were interested in data and needed a way to collaborate around it using common tools that data geeks use.

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