Informal Knowledge Sharing in Science via Social Networking
This is a cross-posted item available both from this, my home blog, and http://biosharing.org, a new blog specifically concerned with “news and information about activities related to the development of data policies and standards in the biological domain, in particular for the area of ‘omics”. You can find the post on biosharing.org at: http://biosharing.org/2009/04/informal-knowledge-sharing-in-science.html .
Recently, more and more biologists, bioinformaticians, and scientists in general have been discovering the usefulness of social networking, microblogging, and blogging for their work. Increasingly, social networking applications such as FriendFeed and Twitter are becoming popular for the discovery of new research in a timely manner, for interactions and possible collaborations with like-minded researchers, and for announcing work that you’re doing. Sharing data and knowledge in biology should not just be limited to formal publications and databases. “Biosharing” can also be informal, and social networking is an important tool in informally conveying scientific knowledge. But how should you get started in this new world? Here are my experiences with it, together with some links to and thoughts to help you get started.
I created my FriendFeed account in Fall 2008 and my Twitter account last month. Why did I start using these social networking sites? Well, with FriendFeed, I had noticed many of my work colleagues starting to use it, but had no real understanding as to why they were so evangelical about it. With Twitter, I held out longer but eventually realised it was a really quick and easy way to get my messages across. The reason I did it and why they are useful to me comes down to a simple answer.
I am interested in sharing knowledge. Social networking promotes an informal sharing of knowledge in a way complementary to more traditional, formal methods of knowledge sharing.
And if you’re interested in knowledge sharing, then you should look into social networking. My research focuses on semantic data integration. I have a further interest in common data formats to enable data / knowledge sharing. As I am quite vocal about getting people interested in formal methods of knowledge sharing such as the triumvirate of MIBBI, OBI, and FuGE / ISA-TAB for experimental data1 (and many, many more), it behooved me to learn about the informal methods.
Social Networking: Day-To-Day
But what convinced me that social networking for science was useful? By December I had a realisation: this social networking stuff was giving me more information directly useful to my research than any other resource I had used in the past. Period. You can see my happiness in this blog post from December, where I showed how, these days, I get more useful citations of papers I’m interested in via my friends’ citeulike feeds on FriendFeed than I ever have managed from the PubMed email alerts. What convinced me is not a what, but a who.
Social networking for science is an informal data integrator because of the people that are in that network.
It’s all about the people. I have met loads of new friends that have similar research interests via the “big 2” (FriendFeed and Twitter). I get knowledge and stay up to date on what’s happening in my area of the research world. I make connections.
What is FriendFeed? At its most basic definition, it is an “personal” RSS Aggregator that allows comments on each item that is aggregated. For instance, I’ve added slides, citations, my blogs, my SourceForge activity and more to FriendFeed:
There are loads of other RSS feeds you can add to FriendFeed. Then, when people add your feed to their accounts, they can see your activity and comment on each item. You gradually build up a network of like-minded people. Additionally, you can post questions and statements directly to FriendFeed. This is useful as a form of microblogging, or posting short pieces of useful information quickly.
What is Twitter? It’s a bit like instant messaging to the world. You can say whatever you like in 140-characters or less, and it is published on your page (here’s mine). Just like with FriendFeed, you can follow anyone else’s Twitter feed. You can even put your Twitter feed into FriendFeed. People have a tendency to over-tweet, and write loads of stuff. I use it, but only for work, and only for things that I think might be relevant for quick announcements. If Doug Kell tweets, shouldn’t you? ;)
Other people have posted on how FriendFeed is useful to them in their scientific work, such as Cameron Neylon (who has some practical advice too), Deepak Singh and Neil Saunders who talk about specific examples, and Simon Cockell who has written about his experiences with FriendFeed and Twitter. I encourage you to have a read of their posts.
You don’t have to spend ages on FriendFeed and Twitter to get useful information out of it. Start simply and don’t get social networking burnout.
Ask questions about science you can’t answer in your own physical network at the office (Andrew Clegg did it, and have a look at the resulting discussion on FriendFeed and blog summary from Frank Gibson!). Post interesting articles. Ignore it for a week or more if you want: interesting stuff will be “liked” by other people in your network and will stay at the top of the feed. Trust the people in your network, and make use of their expertise in sending the best stuff to the top, if you don’t have the time to read everything. Don’t be afraid to read everything, or to read just the top two or three items in your feed.
Social Networking: Conferences and Workshops
These “big 2” social networking apps are really useful when it comes to conferences, where they are used to microblog talks, discussions, and breakout sessions. For detailed information on how they are used in such situations, see the conference report for ISMB 2008 in PLoS Computational Biology by Saunders et al. BioSysBio 2009 also used these techniques (conference report, FriendFeed room, Twitter hashtag).
Social Networking: What should I use?
Other social networking sites, billed as “especially for scientists”, have been cropping up left, right and centre in the past year or two. There are “Facebooks for Scientists”2 (there are more than 20 listed here, just to get you started, and other efforts more directed at linking data workflows such as myExperiment). So, should we be using these scientist-specific sites? I certainly haven’t tried them all, so I cannot give you anything other than my personal experience.
As you can see from my FriendFeed screenshot, I belong to “Rooms” in FriendFeed as well as connecting directly with people’s feeds. Rooms such as The Life Scientists, with over 800 subscribers, gets me answers to sticky questions I wouldn’t otherwise know how or where to ask (see here for an example). These, and the people I choose to link with directly, give me all of the science-specific discussions I could want.
The more general the social networking application is and the larger the user-base it has, the more likely it is to be around next year.
Right now, I don’t need any of the specialty features I’d get with a scientist-specific social networking application. I think the big names are more likely to reach a wider audience of like-minded folk.
Remember you’re broadcasting to the world. Only put stuff in that you think others will be interested in. This is a public face for you and your career.
I am a strong believer in keeping the personal parts of my life private (the entire world doesn’t need – or want – to know about my cat or see the pictures of my nephew) while at the same time making sure that I am really easy to reach for work-related discussions and collaborations. Through my blog, and my social networking, I am gaining a fuller appreciation of the work going on in the research community around me and contributing to the resulting large experiment in informal data integration.
It is fun: I meet new people and have interesting conversations. It is useful to my career: my blogging has resulted in an invitation to co-author two conference reports, and shows me new things happening in my field earlier than before. I’m all about sharing biological knowledge. I’m researching the formal side of data integration and sharing, and I’m using informal knowledge sharing to help me do my work.
I hope to see you there soon! Look me up!
- For a very nice overview of these standards, see Frank Gibson’s blog.
- While I am on Facebook, I do not use it for work purposes, and therefore cannot comment on its applicability for scientists.
Lister A, Charoensawan V, De S, James K, Janga SC, & Huppert J (2009). Interfacing systems biology and synthetic biology. Genome biology, 10 (6) PMID: 19591648
Saunders, N., Beltrão, P., Jensen, L., Jurczak, D., Krause, R., Kuhn, M., & Wu, S. (2009). Microblogging the ISMB: A New Approach to Conference Reporting PLoS Computational Biology, 5 (1) DOI: 10.1371/journal.pcbi.1000263
Categories at the mind wobbles
- 81,279 hits
- RT @sangerinstitute: 15 years ago today, the draft human genome was completed. #anniversary #humangenomeproject yourgenome.org/stories/what-w… http… 2 months ago
- @morgantaschuk @kseniakrasileva @froggleston @NeilWipat That's what I thought, I'm counting at least 6 women as I recall... It was fab! 2 months ago
- @kseniakrasileva @froggleston love the m:f head count! @morgantaschuk what do you think the ratio was when we were with @NeilWipat's group? 2 months ago
- RT @AdasList: How Ada Lovelace & Charles Babbage Invented the World’s First Computer: An Illustrated Adventure brainpickings.org/2015/06/15/the… via @… 2 months ago
- RT @morgantaschuk: grep x file | cut -f1,19 | tr -s '[:blank:]' '\t' | cut -f1,3 | sort | uniq -c | tr -s '[:blank:]' '\t' | cut -f2,3 #ca… 2 months ago