# Data Social Networks Data.wold is a Collaborative Social Site Specifically for Data Scientists By Alyson Wyers | Published 2016-07-28 | Social Good Source: Trend Hunter, https://www.trendhunter.com/trends/data-scientists References: [springwise](http://www.springwise.com/social-site-data-scientists-boosts-collaboration/) & [data.world](https://data.world/) 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](https://www.trendhunter.com/trends/netchemy) 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](https://www.trendhunter.com/trends/dilemaa). 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 Insights (Trend Hunter) - Score: 4.3/10 - Popularity: 54% | Activity: 66% | Freshness: 8% - Audience gender: 90% men, 10% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Social Good](https://www.trendhunter.com/socialgood) > [Education](https://www.trendhunter.com/education) ## Key Themes ### Key Themes Behind This Trend - **Collaborative Data Networks:** Social platforms specifically designed for data scientists could facilitate collaborations and improve data-driven research outcomes. - **Public Benefit Corporations:** Creating businesses that have a social purpose could provide opportunities for developing collaborative social networks. - **Machine-readable Data:** Facilitating the sharing and discovery of machine-readable data could have implications for the creation of new data-driven research projects. ### Where This Applies - **Data Science:** The development of social platforms specifically for data scientists could enhance the processes of data-driven research. - **Technology:** The use of machine-readable data could also pose opportunities for the technology sector to develop new tools to facilitate data analysis. - **Social Networking:** Creating new social platforms for specific communities could provide business opportunities for entrepreneurs to capitalize on the unique needs of niche groups. ## Related on Trend Hunter - [AI Research Collaboration Platforms](https://www.trendhunter.com/trends/ai-research.md) - [AI-Driven Social Networks](https://www.trendhunter.com/trends/socialai.md) - [Social Networking Hubs](https://www.trendhunter.com/trends/internet-social-caf.md) - [Flexible Open Data Platforms](https://www.trendhunter.com/trends/directus-9.md) - [AI Educational Social Networks](https://www.trendhunter.com/trends/universitycube.md) - [Collaborative Research Platforms](https://www.trendhunter.com/trends/share-deep-research.md) - [Data-Comparing Social Apps](https://www.trendhunter.com/trends/mutually-app.md) - [Data Culture Insights](https://www.trendhunter.com/trends/people-of-data.md) - [AI Diversity Coalitions](https://www.trendhunter.com/trends/World-Leaders-In-Data.md)