Large amounts of data are being generated every second by billions of devices: from smartphones, wearables, social media, to the Internet of Things, Industry 4.0 and cyber-physical systems. All these different sources generate highly heterogenous types of data. Before you can start to extract insights from data sets you need to understand requirements and availability and quality problems of you might consider. You need to know which data can be useful to your project and where you can get fiting high-quality data.
To ensure that this data is collected and used in a meaningful manner, heavy data storage capabilities have to be developed and employed. The new big data storage has to be able to handle huge datasets and cope with the constant data flow in real-time.
We present selected Open Data repositories the recent challenges and trends of this topic as well as the most important programs and initiatives. Our collection of related sources helps to delve further into the topic.