Dealing with Data: A Case Study on Information and Data Management Literacy
|Originally posted:||30th May 2012: 3:13 pm|
|Public - anyone can view|
by Melissa A. Haendel, Nicole A. Vasilevsky, Jacqueline A. Wirz
Our scientific body of knowledge is built upon data, which is carefully collected, analyzed, and presented in scholarly reports. We are now witnessing a dramatic shift in our relationship to data: where researchers once managed discrete, controllable building blocks of knowledge, they must now contend with a tsunami of information that paradoxically feeds the growing scientific output while simultaneously crushing researchers with its weight. Numerous national and international initiatives, projects, and working groups have been established to address the data dilemma from multiple angles, including recent Requests for Information from the US Office of Science and Technology Policy and the National Institutes of Health (NIH), and a US White House announcement of spending US$200 million on “Big Data”. The need for information and data management literacy extends beyond a national mandate for sharing and public access—the scientific community must embrace a culture where every scientist needs to understand how to manage, navigate, and curate huge amounts of data.