Big Data: Bigger is Not Necessarily Better
Big data is the current trendy phrase that covers many different areas. Big data describes equally well having a huge volume of data generated in a short period of time (like molecular simulations of DNA), having a huge volume of data that needs to be indexed and archived (like PubMed or Web of Science), or wanting to analyze different types of data that wasn’t collected for a given purpose (the CI-BER project uses a variety of data types collected over the years to study a neighborhood in Asheville, NC).
