Task 1: Agree and share protocols for the generation of the data

Computer modellers use the term GIGO (garbage in garbage out). It’s just as valid for next generation sequencing. 

We need to carefully consider of the most basic elements of the sequencing process to get the best results. Even where data is carefully and validly gathered, it may be difficult or impossible to compare with other studies because of legitimate differences between studies. 

For example, the targeting of differing regions within a gene or the use of different extraction methods might give differing results from the same sample. 

Of course, it may not always be possible to have identical studies. In these cases a modest number of inter-laboratory visits might permit strategically important evaluations of the significance, or otherwise, of differences in technique.

The new generation of sequencing technology is generating new techniques for getting the most samples from a single pyrosequencing run (barcoding) and new challenges for storing the data. 

Finally, we need to consider and agree:

• when where and how samples should be taken
• the minimal metadata (pH, temp etc) requirements on a generic (i.e. for all samples) and an environment specific basis (e.g. soil, seas, lakes)
• the numbers and kinds of samples that are appropriate.