Actually you've probably got too much and you probably don't have the time to sift through it, let alone store it in an organized fashion for perpetuity. Data management is (at least for some of us) becoming almost as cumbersome as getting the damn stuff to begin with. It would be great if we had a bioinformatician chained next to us at the bench so they could be analyzing and processing the data as we are creating it in real time. And a few labs even do, but they are the serious outliers. At best some of us are crunching our own numbers but the rest of us poor saps are having to hand off our data to others for this task and wait in queue.
Next where are we storing these vast quantities of digital data? Are your universities and institutions setting up and running secure servers so that you data is at least protected and accessible to you let alone the public? Do you have a mini-server or a more complicated RAID5 setup humming away in the corner of your lab? Or are you the poor bastard whose data is only on the hard drive of your desktop that is infrequently if ever backed up?
I think a huge problem that is on the horizon, especially with doing research that is data intensive is:
-Should we be using a standardized format for data that we store? Excel, ASCII, comma versus tab separated values? Ugh!
-Do we do our own bioinformatics or just farm it out? Before the rate limiting factor of some my research was doing the experiments. Now its data processing and analysis. A recent survey in Science showed that only 24% of respondents had the capability to do in-lab data analysis. 34% were using collaborators and 23% felt that they did not have the necessary skills to analyze their own data.
-Do we store published data on university servers which are more stable and kept current than those that exist in many lab currently? And who the hell is going to pay for this? 80% of those surveyed said they did not have sufficient funding for data curation and 50% of the labs were keeping data archives on computers in their lab. And as Dorothea has previously brought up, there is a general lack of research IT.
-What are our policies for data requests? Should there be a standardized policy put forth by the NIH, universities or just leave it up to the individual lab? Less than half of the labs that asked for data got it, with the other half only getting requests for published data fulfilled "sometimes."
We've got to tame this tiger before it gets too out of hand.