Last Thursday I attended the launch event for OverLeaf. The event was composed of a set of very short talks, followed by a good chance to chat to people. It was a pretty nice evening.
Dr Bibiana Campos Seijo - MRSC - magazines publisher and editor of chemistry world. Science is changing, publising is changing, a lot of this is being driven by technology. There is information overlaod. Publishers need to try to provide solutions to these issues.
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I have posted this post as a comment on the thread over at software carpentry in answer to the question What do we teach about writing/publishing papers in a webby world?
I ended up writing a bit more than I expected, so here are the main peices of advice:
tl;dr:
- use a reference management tool
- try to find the fastest venue to publish in
- try to publish in an OA journal
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Today I’m at the STM innovations seminar. The twitter tag for today is #ukinno. The program is online.
I’m going to take a light approach to blogging today, I’ll probably hang out mostly on Twitter.
## 9.35 The Research Data Revolution, Sayeed Choudhury, Associate Dean for Research Data Management, Johns Hopkins University Data has become a major topic of interest from all sectors of society with headlines such as “Data is the new oil” to assertions from McKinsey that data is the fourth factor of production.
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Just attended the STM brainstroming session. I’ll update these notes in due course, and fix spelling issues, but I wanted to get the post live first.
Notes I’ll just mention the things that I found interesting. ## Round1
Science Gists get a mention, yay!!
Google scholar library gets a mention.
Visualising data as maps is mentioned, mentions that there are no standards
Howard mentions much richer tagging in the article, and upfront semantic tagging.
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Connecting ALM and Literature As I took part in the first session I don’t have many notes from it. I’ve posted the slides from my talk, and I’ll write up some more on those in due course. For me the standout talk of the session, if not the entire meeting, was from Jevin West who talked about using networked ranked data to provide recommendations. The algorithms his group are working on are being tested on [SSRN][ssrn], and will be rolled out to PLOS.
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## Cameron Neylon - Introduction & Welcome
Interesting - this is the first PLOS ALM meeting that is a “normal” scheduled presentation. Time is going to be tight.
Pete Binfield ALM: Looking back, moving forward A large chunk of OA does not select for impact - this is why ALMs are key for this space. PLOS didn’t invent ALMs - Frontiers were doing it a little ahead of PLOS’s launch. Web of science didn’t tell PLOS until 2010 that PLOS one was being tracked for an impact factor.
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This is a report on todays consultation on open data that was help by the EC. The notes are long, so I have put my conclusions and general comments at the start.
General comments There was not much disagreement throughout the day. There were repeated calls for the need to incentivise researchers to engage in data sharing, but not too many concrete proposals on how to do this. It does seem from my perspective that libraries could do an amazing job here, but that will depend on to which extent these libraries have deep technical expertise.
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The following is the written representation that I made to the EC hearing on Open Data on behalf of Co-Action publishers, Copernicus Publications, eLife, F1000 Research, FigShare, Frontiers, Open Books Publishers, PeerJ, the Public Library of Science, Ubiquity Press and Bloomsbury Qatar Foundation Journals (QScience). I had a five minute slot to present, and the key recommendations at the end of this written response formed the basis of that presentation. I added one slide at the end with a personal view on some of the challenges of getting researchers to share data.
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I took a look at the T&F survey with interest. I’m also very aware of the concerns and confusions that exist around licensing. I’m also aware of the “one size doesn’t fit all” argument.
I’ll address the T&F survey first, and then I’ll briefly discuss CC-BY pros and cons, purely from the point of view of my own understanding of these issues - I might be very wrong on this.
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On Monday the 14th of January we met at the PLOS offices in Cambridge to hear a talk from Euan Birney on lessons learned from publishing data rich publications though the encode project.
This was the first time that Euan was far less worried about the print, and far more worried about how well the online version was going to work.
Dimensions of the project 5 TeraBases 1715 times the size of the Human Genome 3k experiments 410 authors on the main paper 6 high profile papers ~35 companion papers The output should not be thought of as papers, but as the raw data.
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