As promised yesterday, I’m going to write down my notes from Saturday’s final panel session of Science Online London 2010. But first, I want to say a couple of things about the Research Information Network report that Rob Procter discussed, If you build it, will they come? How researchers perceive and use web 2.0. (These concerns were raised in the twitter feed at the time, but for reasons I won’t bore you with, we didn’t have time to discuss them at the meeting itself.)
In the last half of 2008 I consulted for the Science Advisory Board (SAB) on a study looking at How Online Media Affects Traditional Publishing Methods. This study was, like the RIN one, a survey of scientists and their use of social media, or ‘Web 2.0’ (by the way, there was a tweet on the #solo10 hashtag mentioning the Britishness of saying “two point nought” rather than “web two point oh”. Was that really me?). This was an international study, rather than the British-centric RIN one, and surveyed 1500 scientists (vs 1300 in the RIN one).
What perturbed me on reading the RIN report was that the SAB study found that it was the younger and more junior scientists who were making more use of Web 2, whereas the RIN report seemed to imply that it was being driven by older scientists. In fact, one of my conclusions was that as the older guys died off we’d see more uptake. (Both studies bemoaned the low overall uptake of Web 2 tools, although the SAB was more upbeat in its assessment).
But as I sat on the Tube on the way home last night, I realized there were a couple of major flaws with the RIN study. The RIN sent its survey to 12,000 scientists in the UK, and got a 10% response rate. That’s a pretty lousy statistic. Here, we’ve selected for people who have both the time and inclination to respond to a random survey. Most of the SAB respondents were selected from the SAB’s membership (currently nearly 50,000) to receive the questionnaire, and were rewarded for their participation (the SAB operates a points system: if you respond to questionnaires and whatnot you can accumulate points which can be exchanged for physical goodies). The response rate was a lot higher (I don’t have the exact numbers to hand) and we might assume that the quality of response was correspondingly higher, too.
A more worrying question, however, is how were those 12,000 people (who received the RIN survey) selected in the first place? Turns out that these are ‘scraped’ email addresses, which makes me think there was already some bias towards older, more well-established scientists in the first place. Young researchers not only have had less time for their contact details to be established on an institutional website (and indeed, pre-tenure, have probably moved around a lot, relatively speaking. Google me, for example; the second hit is me but the email address in it was defunct five years ago) but are possibly also more security conscious and less willing to have their email address available for scraping.
I think those two concerns might well go some way to explaining the ‘surprising’ results from the RIN study.
So, what did I say at SOLo 10, after all that? Here’s my notes (like Ed Yong, I have to refer to my Moleskine notebook. No copy & paste here, and it’s not a transcript!):
< fx: English accent, ginger hair>
This is a room full of very special people <fx: laughter>. If we didn’t believe in online technology, the value of it and the coolness of it, we wouldn’t be here today.
And over the last couple of days we have seen some very neat stuff. This morning, Aleks talked about the Growing Knowledge project; Peter Murray-Rust showed us a really cool experiment this morning, and we’ve had a whole heap of open- and linked- data stuff–semantic web, if you like. Real nerdgasm stuff.
But, we have to remember, we are special. We are the early adopters, if you like. To borrow a phrase from technology business development, we haven’t yet crossed the chasm to mainstream adoption of these cool toys, as Rob has just pointed out.
The vast majority of jobbing scientists simply haven’t signed up yet, perhaps for the reasons Rob listed. We, here in this room, are a load of technology evangelists, there are a few companies here who share that vision and who have demonstrated some of their toys, but people as a whole?
No.
Of course, they’re into Web 1–email and websites and whatnot, but Web 2, Web 3? Not so much.
We’ve given reasons over the last two days why people should adopt these technologies, but there’s been a lot of stick, and not enough carrot, I feel. What should we do? Encourage–or bully–people into using this stuff, just because it’s there, just because it’s cool?
I don’t think so.
I think, rather, that it comes down to two things, and my thesis is very simple. People, as a whole, will only adopt these new technologies for one of two reasons.
First, these new tools allow you to do something necessary, something you have to do anyway, something that exists outwith cyberspace but that you have to do, but that is made so much easier, so much more efficient with internet tools that people will WANT to do it.
Obvious examples are PubMed–anybody remember Silver Platter?–and online journals themselves. When did you last use a photocopier to copy a journal article?
Say what you like about PDFs, didn’t life get a lot lot easier in the late ’90s and early 2000s?
The second thing that works is something that adds value, and that value can include ‘fun’, but a value that just can’t be gained from anywhere else. A compelling value. For example, Facebook and Twitter are great Web 2 tools that allow people to communicate in new and exciting ways.
It’s slightly less Web 2, Web 1.5 perhaps, but Faculty of 1000 I think is such a tool. We’re addressing the filtering, the information overload problem, adding value to the published research. We don’t care, actually, whether it’s Open Access or where it’s coming from: we’re just providing editorial, if you like, content on top of the literature. And you can’t do that, effectively, without cyberspace. It won’t work.
The challenge, really, is not to have a smart idea. There must be oh, how many people are here? 120 bright ideas in this room alone. But you have to figure out where that value is, that compelling calue that will make the vast majority of scientists want to use this stuff we’ve been talking about.
This includes things like blogging networks, like data visualization, like linked datasets.
and then we were out of time. There was some ad-libbing in there, but that’s the gist. Oh, and I had no slides.
(If you would like to comment without signing your soul away to Nature, this post is mirrored at the BioLOG).
