Giving credit, filtering, and blogs versus traditional research papers

Another post prompted by an exchange of comments on Neil Saunder’s blog. The discussion here started about the somewhat arbitrary nature of what does and does not get counted as ‘worthy contributions’ in the research community. Neil was commenting on an article in Nature Biotech that had similar subject matter to some Blog posts, and he was reflecting on the fact that one would look convincing on a CV and the others wouldn’t. The conversation in the comments drifted somewhat into a discussion of peer review with Maxine (I am presuming Maxine Clarke from Nature?). You should read her comment  and the post and other comments in full but I wanted to pick out one bit. Continue reading “Giving credit, filtering, and blogs versus traditional research papers”

Slashing and hacking feeds

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. I then suck that feed through yahoo pipes to find all the comments that are mine which then generates another feed, which I have included on my friendfeed.

So a couple of noob questions. Is there a better way to do this? Yes I could edit the Pipe every time I leave a comment to add the new feed and this would be neater, but it involves many more mouseclicks. It also means that any Blog that doesn’t have an obvious comments feed (BBGM is the most obvious example, but also Open Reading Frame and a number of others) I can’t do this with. Including, as it happens, this Blog (am I wrong about this, do we have a comments feed somewhere). Can anyone advise whether there are hidden comment feeds on blogs that I am missing? Incidentally for reference the comments feed for any blogspot blog can be found at xxx.blogspot.com/feeds/comments/default if it’s not immediately obvious.

I also do a few other things, for instance aggregating all the posts and comments on chemtools blogs that are mine. And naturally my lab book is available through the friendfeed, although at the moment that just shows that I haven’t done any real work for a while…

A (small) Feeding Frenzy

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. See Deepaks’s post (or indeed his Friendfeed) for details of the conversations that can come out of these type of things.

What piqued my interest though was the comment Neil made at the bottom of his post about Workstreams.

Here’s a crazy idea – the workstream:

* Neil parsed SwissProt entry Q38897 using parser script swiss2features.pl
* Bob calculated all intersubunit contacts in PDB entry 2jdq using CCP4 package contact

This is exactly the kind of thing I was thinking about as the raw material for the aggregators that would suggest things that you ought to look at, whether it be a paper, a blog post, a person, or a specific experimental result. This type of system will rely absolutely on the willingness of people to make public what they are reading, doing, even perhaps thinking. Indeed I think this is the raw information that will make another one of Neil’s great suggestions feasible.

Following on from Neil’s post I had a short conversation with Alf in the comments about blogging (or Twittering) machines. Alf pointed out a really quite cool example. This is something that we are close to implementing in the open in the lab at RAL. We hope to have the autoclave, PCR machine, and balances all blogging out what they are seeing. This will generate a data feed that we can use to pull specific data items down into the LaBLog.

Perhaps more interesting is the idea of connecting this to people. At the moment the model is that the instruments are doing the blogging. This is probably a good way to go because it keeps a straightforward identifiable data stream. At the moment the trigger for the instruments to blog is a button. However at RAL we use RFID proximity cards for access to the buildings. This means we have an easy identifier for people, so what we aim to do is use the RFID card to trigger data collection (or data feeding).

If this could be captured and processed there is the potential for capturing a lot of the detail of what has happened in the laboratory. Combine this with a couple of Twitter posts giving a little more personal context and it may be possible to reconstruct a pretty complete record of what was done and precisely when. The primary benefit of this would be in trouble shooting but if we could get a little bit of processing into this, and if there are specific actions with agreed labels, then it may be possible to automatically create a large portion of the lab book record.

This may be a great way of recording the kind of machine readable description of experiments that Jean-Claude has been posting about. Imagine a simplistic Twitter interface where you have a limited set of options (I am stirring, I am mixing, I am vortexing, I have run a TLC, I have added some compound). Combine this with a balance, a scanner, and a heating mantle which are blogging out what they are currently seeing, and a barcode reader (and printer) so as to identify what is being manipulated and which compound is which.

One of the problems we have with our lab books is that they can never be detailed enough to capture everything that somebody might be interested in one day. However at the same time they are too detailed for easy reading by third parties. I think there is general agreement that on top of the lab book you need an interpretation layer, an extra blog that explains what is going on to the general public. Perhaps by capturing all the detailed bits automatically we can focus on planning and thinking about the experiments rather than worrying about how to capture everything manually. Then anyone can mash up the results, or the discussion, or the average speed of the stirrer bar, any way they like.

Who’s got the bottle?

Lots of helpful comments from people on my question about what to use as a good identifier of chemicals? I thought it might be useful to re-phrase what it was that I wanted because I think some of the comments, while important discussion points don’t really impinge directly on my current issue.

I have in mind a special type of page on our LaBLog system that will easily allow the generation of a post that describes a new bottle of material that comes into the lab. From a user perspective you want to enter the minimum amount of necessary information, probably a name, a company, perhaps a lot number and/or catalogue number to enable reordering. From the system perspective you want to try and grab as many different ways of describing the material as possible, including where appropriate SMILES, InChi, CML, or whatever. My question was, how do I provide a simple key that will enable the system to go off and find (if possible) these other identifiers. This isn’t really a database per se but a collection of descriptors on a page (although we would like to pull the data out and into a proper database at a later stage). CAS numbers are great because they are written on most bottles and are a well curated system. However I thought that the only way of converting from CAS to anything else was to go through a CAS service. Therefore I thought PubChem CID’s (or SID’s) might be a good way to do this.

So from my perspective a lot of the technical issues with substances versus chemicals versus structures aren’t so important. All I want is to, on a best efforts basis, pull down as many other descriptors as possible to expose in the post. For some things (e.g. yeast extract) the issues of substances versus compounds (not to mention supplier) get right out of hand (I am slightly bemused that it has a CAS number, and there are multiple SID’s in PubChem). Certainly it ain’t going to have an InChi. But if you try and get nothing it doesn’t really matter. Also we are dealing here with common materials. If as Dan Zaharevitz points out, we were dealing with compounds from synthetic chemists we would get into serious trouble, but in this case I think we could rely on our collaborating chemists to get InChi’s/SMILES/CML correct and use those directly. In the ideal Open Notebook Science world we would simply point to their lab books anyway.

So the fundamental issue for me; is there something written on the bottle of material that we can use as a convenient search key to pull down as many other descriptors as we can?

Now I am with Antony Williams on this, if CAS got its act together and made their numbers an open standard then that would be the best solution. It is curated and all pervasive as an identifier. Both Antony and Rich Apodaca have pointed out that I was wrong to say that CAS numbers aren’t in PubChem (and Rich pointed to two useful posts [1], [2] on how to get into PubChem using CAS numbers). So actually, my problem is probably solved by an application of Rich’s instructions on hacking PubChem (even if it turns out we have to download the entire database). The issue here is whether they will stay there or whether they may in the end get pulled.

I do think that for my purposes that PubChem CID’s and SID’s will do the job in this specific case. However as has been pointed out there are issues with reliability and curation. So I will accept that it is probably too early to start suggesting that suppliers label their bottles with PubChem IDs. This may happen anyway (Aldrich seem to have them in the catalogue at least; haven’t been able to check a bottle yet) in the longer term and I guess we have to wait and see what happens.

Peter Murray-Rust has also updated with a series of posts [1], [2], [3] around the issues of chemical substance identity, CAS, Wikipedia et al. Peter Suber has aggregated many of the related posts together. And Glyn Moody has called us to the barricades.

What to use as a the primary key for chemicals?

We are in the process of rolling out the LaBLog system to the new bioscience laboratory within ISIS at the Rutherford Appleton Laboratory. Because this is a new lab we have a real opportunity to embed the system in the way we run the laboratory and the way we practise our science. One of the things we definitely want to do is to use it to maintain a catalogue of all our stocks of chemicals. This is important to us because we are a user laboratory and expect people to come in on a regular basis to do their experiments. This in turn means we need to keep track of everything they bring in to the lab and any safety implications. Thus we want to use our system to log in every bottle of material that comes into the lab.

Now following on from my post about feeds it is clear that we also want to provide a good range of searchable indexes for people to be able to tell what we are using. So we would ideally want to expose InChi, InChiKey, SMILES, CML perhaps, PubChem Ids etc. These can all be converted one to the other using web services so we don’t need to type all of them in manually. All that is required is a nice logging screen where we can drop in one type of index key, the size of the bottle, supplier, lot numbers, perhaps a link to safety data. The real question is what is the index key that is easiest to input? For those of you in or near a laboratory I suggest an exercise. Go and pick up the nearest bottle of commodity stuff from a commercial supplier (i.e. not oligos or peptides). What is written on it? What is a nice short identifier that can consistently be found on pretty much any bottle of chemicals? For those unlucky people who don’t have a laboratory at their fingertips I have provided a clue below.

The Chemical Abstracts Service number is the one identifier that can reasonably reliably be found on most commercially supplied substances. Yet, as described by Peter Murray-Rust and Antony Williams recently you can’t look these up without paying for them. And indeed by recording them for your own purposes (say in a database of the compounds we have in the laboratory) we may be violating the terms of the license.

So what to do? Well we can adopt another standard or standards. Jean-Claude Bradley argued in a comment on my recent post that InChiKey is the way to go, but for this specific purpose (logging materials in) this may be too much to type in many cases (certainly SMILES, InChi and CML would be). You can’t expect people to draw in the structure each time a compound comes in, particularly if we get into arguments about which precise salt of cAMP we are using today. What is required is a simple, relatively short number. This is what makes the CAS number so appealling; it is short, easily typed in, and printed on most bottles.

So, along with Peter I think the answer is to use PubChem CID numbers. PubChem doesn’t use CAS numbers and CAS actively lobbied the US government to limit the scope of PubChem. PubChem CIDs are relatively short, and there are a range of web services from which other descriptions can be retrieved (see e.g. PubChem Power User Gateway). The only thing that is missing is the addition of CID’s on bottles. If we can get wide enough agreement on this I think the answer is to start writing to the suppliers. It’s not great effort on their part to add CIDs (or if there is something better, some other index) to the bottles I would have thought and it provides a lot of extra value for them. PubChem can provide links through to up to date safety data (without the potential legal issues that maintaining a database of MSDS forms with CAS numbers creates), it provides free access to a supplier index through which customers can find them, and it could also save them a small fortune in CAS license fees.

There is another side to this, which is that if there is a wholesale shift (or even the threat of a shift) away from CAS as the only provider of chemical indexing, then perhaps the ACS will wake up and realise that not only is this protectionism bad for chemistry, but it is bad for their business. The database of CAS numbers has no real value in its own right. It is only useful as a pointer to other information. If the ACS were to make the use and indexing of CAS numbers free then it would be driving traffic to its own value added services. The ACS needs to move into the 21st (or perhaps the 20th) century in terms of both its attitudes and business models. We often criticise the former, but without shifts in the latter there is a real risk of critical damage to an organisation that still has the potential to make a big contribution to the chemical sciences. If the major chemical suppliers were to start printing PubChem CID’s on their bottles it might start to persuade the powers that be within the ACS that things need to change.

So, to finish; do people agree that CID is a good standard index to aggregate around? If so we should start writing to the major chemical manufacturers, perhaps through open letters in the general literature (obviously not JACS), to suggest that they include these on their packaging. I’m up for drafting something if people are prepared to sign up to it.

D2O bottle label

Give me the feed tools and I can rule the world!

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. Google searching for a specific thing isn’t enough. We need to have an aggregated feed of the science we want or need to see delivered automatically. i.e. we need systems to know what to look for even before the humans know it exists. I suggested the following as an initial target;

‘If I can automatically identify all the compounds recently made in Jean-Claude’s group and then see if anyone has used those compounds [or similar compounds] in inhibitor screens for drug targets then we will be on our way towards managing the information’

The idea here would be to take a ‘Molecules’ feed (such as the molecules Blog at UsefulChem or molecules at Chemical Blogspace) extract the chemical identifiers (InChi, Smiles, CML or whatever) and then use these to search feeds from those people exposing experimental results from drug screening. You might think some sort of combination of Yahoo! Pipes and Google Search ought to do it.

So I thought I’d give this a go. And I fell at the first hurdle. I could grab the feed from the UsefulChem molecules Blog but what I actually did was set up a test post in the Chemtools Sandpit Blog. Here I put the InChi of one of the compounds from UsefulChem that was recently tested as a falcipain 2 inhibitor. The InChi went in as both clear text and as the microformat approach suggested by Egon Willighagen. Pipes was perfectly capable of pulling the feed down, and reducing it to only the posts that contained InChi’s but I couldn’t for the life of me figure out how to extract the InChi itself. Pipes doesn’t seem to see microformats. Another problem is that there is no obvious way of converting a Google Search (or Google Custom Search) to an RSS feed.

Now there may well be ways to do this, or perhaps other tools to do it better but they aren’t immediately obvious to me. Would the availability of such tools help us to take the Open Research agenda forwards? Yes, definitely. I am not sure exactly how much or how fast but without easy to use tools, that are well presented, and easily available, the case for making the information available is harder to make. What’s the point of having it on the cloud if you can’t customise your aggregation of it? To me this is the killer app; being able to identify, triage, and collate data as it happens with easily useable and automated tools. I want to see the stuff I need to see in feed reader before I know it exists. Its not that far away but we ain’t there yet.

The other thing this brought home to me was the importance of feeds and in particular of rich feeds. One of the problems with Wikis is that they don’t in general provide an aggregated or user configurable feed of the site in general or a name space such as a single lab book. They also don’t readily provide a means of tagging or adding metadata. Neither Wikis nor Blogs provide immediately accessible tools that provide the ability to configure multiple RSS feeds, at least not in the world of freely hosted systems. The Chemtools blogs each put out an RSS feed but it doesn’t currently include all the metadata. The more I think about this the more crucial I think it is.

To see why I will use another example. One of the features that people liked about our Blog based framework at the workshop last week was the idea that they got a catalogue of various different items (chemicals, oligonucleotides, compound types) for free once the information was in the system and properly tagged. Now this is true but you don’t get the full benefits of a database for searching, organisation, presentation etc. We have been using DabbleDB to handle a database of lab materials and one of our future goals has been to automatically update the database. What I hadn’t realised before last week was the potential to use user configured RSS feeds to set up multiple databases within DabbleDB to provide more sophisticated laboratory stocks database.

DabbleDB can be set up to read RSS or other XML or JSON feeds to update as was pointed out to me by Lucy Powers at the workshop. To update a database all we need is a properly configured RSS feed. As long as our templates are stable the rest of the process is reasonably straightforward and we can generate databases of materials of all sorts along with expiry dates, lot numbers, ID numbers, safety data etc etc. The key to this is rich feeds that carry as much information as possible, and in particular as much of the information we have chosen to structure as possible. We don’t even need the feeds to be user configurable within the system itself as we can use Pipes to easily configure custom feeds.

We, or rather a noob like me, can do an awful lot with some of the tools already available and a bit of judicious pointing and clicking. When these systems are just a little bit better at extracting information (and when we get just a little bit better at putting information in, by making it part of the process) we are going to be doing lots of very exciting things. I am trying to keep my diary clear for the next couple of months…Data flow and sharing

Workshop on Blog Based Notebooks

DUE TO SEVERE COMMENT SPAM ON THIS POST I HAVE CLOSED IT TO COMMENTS

On February 28/29 we held a workshop on our Blog Based notebook system at the Cosener’s House in Abingdon, Oxfordshire. This was a small workshop with 13 people including biochemists (from Southampton, Cardiff, and RAL), social scientists (from Oxford Internet Institute and Computing Laboratory), developers from the MyGrid and MyExperiment family and members of the the Blog development team. The purpose of the workshop was to try and identify both the key problems that need to be addressed in the next version of the Blog Based notebook system and also to ask the question ‘Does this system deliver functionality that people want’. Another aim was to identify specific ways in which we could interact with MyExperiment to deliver enhanced functionality for us as well as new members for MyExperiment.

Continue reading “Workshop on Blog Based Notebooks”

A quick update

I have got very behind. I’ve only just realised just how far behind but my excuse is that I have been rather busy. How far behind I was was brought home by the fact that I hadn’t actually commented as yet that the proposal for an Open Science session at PSB that was driven primarily by Shirley Wu has gone in and the proposal is now up at Nature Precedings. The posting there has already generated some new contacts.

On Tuesday I gave a talk at UKOLN at the University of Bath. Brian Kelly kindly videoed the first 10 minutes of the presentation when my attempts to record a screencast failed miserably and has blogged about the talk and on recording talks more generally for public consumption. Jean-Claude does this very effectively but this is something we should perhaps all be more putting a lot more effort into (and can someone tell me what the best software for recording screencasts is?!?). I got a lot of the talk on audio recording and will attempt to record a screencast when I can find time.
The talk was interesting; this was to a group of library/repository/curation/technical experts rather than the usual attempt to convince a group of sceptical scientists. Many of them are already ‘open’ advocates but are focused on technical issues. Lots of smart question on how do you really manage secure identities across multiple systems; how do we make data on the cloud stable for the long term; how do you choose between competing standards for describing and collating data; fundamentally how do you actually make all this work. Interesting discussion all in all and great to meet the people at UKOLN and finally meet Liz Lyon in person.

The other thing happening this week is that tomorrow and Friday we are running a small workshop introducing potential users to our Blog based notebook. Our aim is to see how other people’s working processes do or don’t fit into our system. This is still focused on biochemistry/molecular biology but it will be very interesting to see what comes out of this. I will try to report as soon as possible.

Finally; I think there is something in the air. This week has seen a rush of emails from people who have seen Blog posts, proposals, and other things writing to offer support, and perhaps more crucially access to more contacts.

And further on the PLoS front the biggest story in the UK news on Tuesday morning was about the paper in PLoS Medicine reporting on the results of a meta-study of the effectiveness of SSRIs in treating depression. I woke up to this story on BBC radio and by the time I gave my talk at 10:30 I’d had a chance at least to read the paper abstract. If I’d been on SSRIs this could be really important to me. Perhaps more to the point, if I were a doctor realising I’d be fielding phone calls from concerned patients all day, I could have read the paper. This story tells us a lot about why Open Access and Open Data are crucial. But more on that in another post sometime…I promise.