With more and more data is generated, scientists are looking for better ways to handle, organize, store, share, and protect the integrity of data. Good data documentation is critical to ensure a smooth workflow while using appropriate data management techniques to ensure data accuracy and avoid errors and misinterpretations. Proper data management is becoming increasingly important in the scientific community, as data plays a critical role in every aspect of scientific research on a daily basis, from experiment design and data collection to data analysis and publication of results. Scientists must be able to handle large amounts of information by using appropriate data access tools that allow them to access and evaluate discoveries and communicate them with other researchers.