USGS Data Management
Overview of Data Management
Good data management enables the location, sharing, and reuse of data, and reduces the redundancy of data. These attributes of good data management reduce costs in terms of time and money.
If your data source is well documented, you know how and where to look for your information and the results you return will be what you expect. In addition, accurate data are legally and scientifically defensible. Such data may aid the agency by reducing litigations and appeals. Learn more about why data management is important.
When we start thinking of our data as corporate assets with value beyond our immediate need, the idea of managing data through a whole lifecycle becomes more relevant.
All the questions of documentation, storage, quality assurance, and ownership then need to be answered for each stage of the data lifecycle, starting with the recognition of a need, and ending with archiving or updating the information. Learn more about the data lifecycle.
Poor data quality, redundant data, and lost data can cost companies 15 percent to 25 percent of their operating budget. What would a 15 percent cost reduction be worth to your Project or Program? Learn more about the value of data management.
What the "Office of Science and Technology Policy (OSTP)" Says:
As of February 23, 2013, a memorandum from the Presidentís Office of Science and Technology Policy (OSTP) was released, titled "Increasing Access to the Results of Federally Funded Scientific Research [PDF]." It is intended to ensure that "the direct results of federally funded scientific research are made available to and useful for the public, industry, and the scientific community."