The Science and Practicalities

Data is a valuable commodity. Collecting it, analyzing it, and using it to generate insights is the key to success in any field. But data can be tricky: where do you find data? Who should you trust with your data? Where can you get reliable information about who owns what data? And how can you avoid getting duped by fake or incomplete datasets? This DataSourcehub tackles these questions and more!

Data is the lifeblood of any well-informed organization. It powers everything from marketing strategies to building products and services, but it’s also an incredibly difficult resource to find. Sourcing data can be even more challenging than finding a good infographic: everyone has their own version or interpretation of information that they claim is accurate! With this in mind, here are seven tips for sourcing high-quality datasets.


The first rule for finding data is to do your research: understand the purpose of the dataset, who collected it and where you can find it. Is a particular source known for high-quality or credible information? Can you trust their process in collecting this particular type of data? If not, what sources might be better suited to provide accurate results?

Many people assume that all open datasets are free – but others argue that publically available does not automatically equal public domain. This means that while some organizations may share information freely online (like GitHub), other organizations require payment before they will release any kind of dataset (like Amazon). It’s important to note which companies fall into each category so as not to get scammed!

Data Sourcing: Where to Find, What to Avoid
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