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Revolutionizing the Journal through Big Data Computational Research

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the at the authority and the and them in charge of a group of open data which large by automatics engine on external
eye on Saturday about the cash for open data policy and are relationship with red data deposit used central just
tell you that about and we are in open access only publisher and we were found in 2 thousand and will be using the creativecommons licence since 2 thousand to and we publish over 200 68 open access journalists and does of large fully genomics and had bioinformatics as well as public health than global health Journal so all are odd calls are licence under 65 per cent and its around this time last year we now licence continent with this easy 0 waivers while and with an understanding that the continent where publishing is also going to be mind by machines and still needs to be as reusable by them as possible to just to tell you a
little bit about what we are doing in terms of taking the user biomedcentral for all part journalist who strongly encourage data deposition and it agreed a as the author requires the other and a show his data as well as a review and forest select number of journalist namely are genomics journalists and we actually quiet dated position worker in the looking at mandating all a general and of that the use this is easy to see see by combined place and and we also include availability data section so that authors of automated can easily find and the data rituals behind the paper and we also encouraged the use of managing standard called attack and much of work about later in the works we are currently working on providing an interactive Tabua data and articles and anti Dealwise for all additional files and that the suitability of additional files and we are working with the boss alone and it is citations imitation group to tell data situation in the job and now which the Nigel we have developed and so I'm
immigrant the summer Journal kick and this is a new life Science Journal it on this month impoverished when the Beijing genomics Institute and unlike any other Journal and Bristol has a cloud platform connected to the publication of point so far everything paper offers it is that they all system the tools behind their study everything rusticity line is occupied in the game TV database so for
example that this is just how the mission workload how to an all the way up but as data but it's a big data Journal so normally were talking about the anywhere from 10 gigabytes to care about data and so to 1 c offers the summit's to the signs particular their data scientist walkway and are to create meditative as well as that of the spent in a recent paper actually quite data scientist actually worked with an offer to create a virtual machine to make although the tools and Data much more reusable so
and with a week to a case that we have the ability to swing data such and here we say data which is assignment in which the likes of reference was an links to the dignity of the Tree so I'm just talk about 1 a case study on data Sciences is really kind of Oxfam until Journal like a system partnership with which he has it in addition to myself and we have a Data scientists and in my own competition and as well as a daily carried a working on the Channel and is this this article is and was assault where papers Angela on these assumption of South where which is the gym assembly of where the libel used so we wanted to see what would we have to do to make this paper essentially needed to simple with a few clicks of the puck and so too too do not have
1st began to collect and the actual Metadata blindness studies so we worked with the and someone that people from the Isatabu working as a show of work by changes of Oxford and you might Ossining because they were with scientific data to create the Isatabu Australia where their data called so when Iceland and meditative while I'm not talking about the graphic data and I'd never know how much people know so I'm just going to use to get the all details some not talking about that the traffic by on talking about an essential pages pages of popular while Tiger files and so that you would be able to essentially create the experiment and he wanted so it's its structure and in terms of 3 sections of the 1st investigation found this could investigated by under the Protocols the high level of information at the next AGM every investigation and how several studies at the study include information on the trip under study characteristics of the and the treatment of blood and every study will also have several assets and and for assault where paper that the cost of its kind to have a lot of us and that the committee to be tested in many ways so ambassadors before and and the quantitative called measures and from the experiment so this is essentially the Isidore structure and it can be a with with the structure changes to the system spectrum on global details so that this is something for example wicket to think about incorporated into the period few system and it looks like it will be be a lot of questions but took to a level to where it would be a lot of questions but but it was still be doable of about some really going to make that sort going to provide enough operation to make most of his reproducible and so we did this for such a noble paper and it took us about 2 months to do working with people from by sharing criticise top structures and and are are 3 data scientists essentially sold
at the end of the these 2 months we were able to essentially dumb has few buttons and and recreate most of the of the experiments and so that something we learn you can do that and it however cost a lot of money and the time it took us to do it on the stage now where we have a really work into a publication workload because and in a piece I could never be could never cover and but we did learned there is a huge amount you learn win capturing the meditative behind a study that this of this needs to happen before publication so and now going to talk about on a similar project with the team as a way to give sides that is are dictated turned Journal we host everything in the Cloud and and a highly highly computational so and thinking about computational research and it should technically easier to replicate and Holabird it's not because of the activation time that actually takes 2 points off where to put it to rebrand everything around to make sure the data his this up to scratch and so with the help can as a data becomes bigger and bigger and some scientists and it's not really just genomics in her sciences and imaging data is quite but also and the human brain project and the highly he never Infomatics pays project and the data coming out of the brain in the human brain project going to be in a negative light data and advocated grows obviously universities are not going to be built house the hot were themselves and so we looking more and more towards the Cloud so with that in mind it is the way we could lower this activation energy to make quite research more reproducible
so we have been talking to several clubs partners that
is also a recognition that the already a lot of Dynamic tools out there to do to to make things more these reproducible for example with a the science we see a lot of people have some 18 1 notebooks as well as an order and a lot of people using the galaxies disarray easy-to-use tools and those that make the most of the research objects behind a study at least more for example of the new 1 was just the manuscript SOS of the tools available their partners
and weight thinking killed all of these together and to without activation image the
SAS and the and the storey point cut from her storey bought as estate came across an odd called The Journal and say I came
across a particular not actually would like to a level of more about the underwent a between the parameters of the object of old club on the head before could on the pipeline to be Dynamic you could look at the data and you could see the sun on to a cloud of the wanted to and and be run and a bit of a tough to use of commercial providers to be keen to let the British rebrand to a certain extent for free it as a kind of premium model and and he wanted to be use it you simply copy instance with a Equitable and so you
can easily see of future some sort of the Virtual Machine infrastructure assigning Dealwise to virtual machines and and are putting them in in positive so it thinking
about this with the times and publishers commercial of providers researchers have a complimentary the publishers when they hold a lot of this continent and and we need to start thinking about how we can make it more than an appetite crystals and but also publishes typically and to in the UK a child at the paucity standard-setting with data deposition skirt have to come from publishers as did with the Jones comedians and academic databases and can provide a credible long term are quite being as well as working on the duration and military standard and commercial club providers and sort of car that you could Computing infrastructure but the commercial of provider has Swiss democratising and found only needed some and then some money in the long quickly by a sense of club so that it
from a moving towards reproducibility's things like virtual machines and what kind of specific Challenges to data and just a question of tools to what extent data should be included in the virtual machines were pulled and externally how avoid costliness moving to the ground and to what extent are questioning standards for her into a coffee and handling datasets feasible and multiple versions of datasets to what extent is a pot of cold went along with a Balding datasets and to make them available to produce was not shy and but most culture data showing how to get offers to want to share of the work so that it can be re used the and conclusions and sold with Big Data in Computational Twell's 1 thing were seen activist lines as research can be reproducible that can be be reusable the infrastructure is out there and we just need to get a job of using it and what about this need to be communicated research is changing and publishes to stop responding to the and and and they also need to step up and play at Roland ingenuity standards of Boston and finely and repeating temperate were published is actually exciting I'm happy that we are moving away from the dead model and the UK so like the idea that it's a stake of about 30 is publishing there was getting excited about by of questions that need to give people for questions about what the job from the by the joy of the University fines for such a long menu critical issues and much of the money was Chissano with the terms of the use of the competition in the results of studies sold under review of the city's most
questions of those suggestions of the the beginning of the summer searches of what we buy witches if you can encourage were so choose show data of the words of the pubs it hours to the summit of wild results that Oldsmobile becomes the and I would people committees interrupted by a 3rd reproduces so it was for people to do is move the computation to the role of around so of everyone tried to download Reemstma wrote in various different places that it looks like the model might be the best of agrees community standards were of the state of the people move veterans Rauch about to to the wild on the watch allows the work of prices of thousands of it would be if of current along the Anyang completely and and it's not only classily to data on its feet high only get these days for
people to applicants to getting the sometimes and all let alone the frustration of doing it and that it also talking to the different commercial providers and that is to say there is no reason to be wasting money will be data around and which is the to figure out how to and the computation just to call and other thing the critical thing is being that the size of the datasets as cost of with sort the aims of the aims of the images that you could be talking said the and and now smaller than the date of its looming extends distribution to millions of questions of questions about your current home of the Royal public an acute dollar bases providing more about and yet 1 of the biggest of the publisher of the to open new code of the with a at if because this finds that there is a special case and and and 1 reason that is the uses the database actually the stand off with the gentle said that to be Shiite and host died the database and Didier are in Research Institute in themselves all of that it was a up and and so on we sent talking about her trainer with them and we thought that was a do that even where there were subject specific apologies and if example we have had just enough couple Jim biology and even know we we aren't in house and checking in the end linking the data it's still never per after not perfect and this the and on the wing it has published a credible amount of money into that Journal and so if people who are paid to do that all day long that then academic is must and that any anyway and so it came as signs that it would happen with everything in 1 place so that when someone so intellectuals silence looking for the data and in its own right but also and there are some cases where the subject of positive ability to specific 10 did so with dignity beat can host everything said its in his species for example that if he did and he increasing the stated that the cost of the and and call in at the meringues stabbed in the back and that the idea is to place the central has a chance that someone comes sequence instead the talent but engine and that you can not published with as much you put it in the specific subject the tree
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Titel Revolutionizing the Journal through Big Data Computational Research
Serientitel DataCite summer meeting 2014
Anzahl der Teile 24
Autor Kenall, Amye
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/15293
Herausgeber DataCite
Erscheinungsjahr 2014
Sprache Englisch
Produktionsjahr 2014

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Dauer 21:29

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Fachgebiet Informatik

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