Data Social Networks

Data.wold is a Collaborative Social Site Specifically for Data Scientists

This social platform was created specifically with data scientists in mind in an effort to increase collaboration in their field. Data.wold is an invitation-only social networking site that emphasizes a linked, open, secure and social community. Focusing purely on data, data.world is also a public benefit corporation with a social cause to enhance education in this area. With a goal to transform research, the network contains almost one thousand datasets that are publicly available, machine-readable and discoverable for collaborative purposes.

Data.world gives data scientists a way to connect over the same information. Although it is currently exclusive, a public launch is planned for later in 2016. This is just one very specific example of how connectivity can be used to improve research.
Trend Themes
1. Collaborative Data Networks - Social platforms specifically designed for data scientists could facilitate collaborations and improve data-driven research outcomes.
2. Public Benefit Corporations - Creating businesses that have a social purpose could provide opportunities for developing collaborative social networks.
3. Machine-readable Data - Facilitating the sharing and discovery of machine-readable data could have implications for the creation of new data-driven research projects.
Industry Implications
1. Data Science - The development of social platforms specifically for data scientists could enhance the processes of data-driven research.
2. Technology - The use of machine-readable data could also pose opportunities for the technology sector to develop new tools to facilitate data analysis.
3. Social Networking - Creating new social platforms for specific communities could provide business opportunities for entrepreneurs to capitalize on the unique needs of niche groups.

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