Searching data set repositories is a fundamental method for locating existing secondary data, offering access to a vast array of information collected by others. This approach involves utilizing specialized search engines and platforms specifically designed to host, organize, and make data sets discoverable. Examples like Google Dataset Search act as aggregators, indexing metadata from countless repositories across the web, similar to how Google Scholar finds academic papers. More specialized platforms such as Figshare and Zenodo serve as general-purpose repositories where researchers from any discipline can deposit and share their research outputs, including data sets. These repositories often assign Digital Object Identifiers (DOIs) to data sets, making them citable and ensuring long-term accessibility. By employing keywords relevant to your research topic, you can navigate these platforms to uncover data sets that might provide valuable insights, supporting your work without the need for new data collection.