The Mars Phoenix landing has got a lot of coverage around the web, particularly from some misty eyed old blokes who remember watching landings via the Mosaic browser in an earlier, simpler age. The landing is cool, but one thing I thought was particularly clever was the use of Twitter by JPL to publicise the landing and what is happening on a minute to minute basis.

How do we actually create the service that will deliver on the promise of the internet to enable collaborations to form as and where needed, to increase the speed at which we do science by enabling us to make the right contacts at the right times, and critically; how do we create the critical mass needed to actually make it happen?

Image via Wikipedia There have been a number of interesting discussions going on in the blogosphere recently about radically different ways of practising science. Pawel Szczesny has blogged about his plans for freelancing science as a way of moving out of the rigid career structure that drives conventional academic science.

As I mentioned a couple of weeks or so ago I’ve been playing around with Friendfeed. This is a ‘lifestreaming’ web service which allows you to aggregate ‘all’ of the content you are generating on the web into one place (see here for mine). This is interesting from my perspective because it maps well onto our ideas about generating multiple data streams from a research lab.

This started out as a comment on Peter Murray-Rust’s response to my post and grew to the point where it seemed to warrant its own post.

‘No data model survives contact with reality’ – Me, Cosener’s House Workshop 29 February 2008 This flippant comment was in response to (I think) Paolo Missier asking me ‘what the data model is’ for our experiments.

More followup on feeds. I’ve set up a friendfeed which is available here. Amongst other things I’ve been trying to aggregate my comments on other people’s blogs. The way I am doing this is creating a tag in Google Reader which I have made public. When I leave a comment I try to subscribe to a comment feed for that Blog, I then tag it as ‘Comments feed’ which aggregates and makes it public as an RSS feed.

Following on from (but unrelated to) my post last week about feed tools we have two posts, one from Deepak Singh, and one from Neil Saunders, both talking about ‘friend feeds’ or ‘lifestreams’. The idea here is of aggregating all the content you are generating (or is being generated about you?) into one place. There are a couple of these about but the main ones seem to be Friendfeed and Profiliac.

Two things last week gave me more cause to think a bit harder about the RSS feeds from our LaBLog and how we can use them. First, when I gave my talk at UKOLN I made a throwaway comment about search and aggregation. I was arguing that the real benefits of open practice would come when we can use other people’s filters and aggregation tools to easily access the science that we ought to be seeing.