The Open Science Publishing Flood and Collaborative Authoring
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License | CC Attribution 3.0 Germany: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
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00:00
InformationMultiplication signSelf-organizationInternet forumFeedbackDescriptive statisticsSign (mathematics)Presentation of a groupVapor barrierLibrary (computing)Meeting/Interview
00:43
Form (programming)Slide ruleOpen setAuthoring systemDenial-of-service attackCellular automatonPresentation of a groupMoment (mathematics)NumberWordLink (knot theory)Slide rule2 (number)CollaborationismDenial-of-service attackRepository (publishing)XML
01:30
Form (programming)Wechselseitige InformationBitDifferent (Kate Ryan album)Computer animation
01:53
MaizeForm (programming)CloningOpen setMaxima and minimaPlastikkarteComputer-assisted translationLibrary catalogMultiplication signEndliche ModelltheorieDenial-of-service attackComputer animation
03:13
Form (programming)MathematicsTransformation (genetics)System programmingFood energyInformationOpen setVideoconferencingMoment (mathematics)File format
03:34
MathematicsTransformation (genetics)Text editorFood energySystem programmingLink (knot theory)VideoconferencingOpen setInformationPhysical systemOrder (biology)Transformation (genetics)Renewal theoryOpen setFood energyMultiplication signRight angleShared memoryIntegrated development environmentWeb 2.0Boiling pointWebsite
04:50
AreaLaptopArtificial lifeContext awarenessOpen setComputerCodeSpeech synthesisUniverse (mathematics)Video gameSimilarity (geometry)InformationMeeting/Interview
05:52
Form (programming)MathematicsTransformation (genetics)Food energySystem programmingOpen setInformationLink (knot theory)VideoconferencingMedical imagingUniverse (mathematics)Variety (linguistics)SoftwareData miningVideoconferencingAreaOpen setMachine learningFile formatComputerVirtual machine
07:04
Form (programming)Open setLibrary catalogNetwork topologyPresentation of a groupNumberDifferent (Kate Ryan album)Object (grammar)Semantics (computer science)Point (geometry)Variety (linguistics)Multiplication signChemical equationOpen setAreaVirtual machinePhysical systemMereologyComputer simulationCodePerspective (visual)DigitizingBasis <Mathematik>System callView (database)Computer animation
09:20
Slide rulePerspective (visual)Form (programming)Data integrityMereologyWage labourLaptopRule of inferenceVirtual machineDifferent (Kate Ryan album)Point (geometry)PRINCE2ComputerSemantics (computer science)Group actionCodecSoftwareElement (mathematics)Type theoryGraphics tabletPerspective (visual)Computer simulationInternet service providerSet (mathematics)Open setMereologyDynamical systemVideoconferencingTerm (mathematics)Arithmetic meanComputer animation
11:41
Slide ruleForm (programming)Open setTerm (mathematics)Arc (geometry)SoftwareTuring testImplementationBitOpen setContext awarenessDifferent (Kate Ryan album)Remote procedure callType theorySystem callPlanningRevision controlSoftwareTuring testSoftware developerWireless LANComputer animation
13:12
Form (programming)Web portalDenial-of-service attackSlide ruleContent (media)Identity managementLibrary (computing)Video gameProjective planeLength of stayComputing platformPerspective (visual)Shared memoryLevel (video gaming)PrototypeWritingReal-time operating systemComputer animation
14:12
Slide ruleForm (programming)State of matterService (economics)WritingTrailBitTerm (mathematics)Confidence intervalAreaCollaborationismContext awarenessInternet service providerPattern languageGraphics tabletBusiness modelState of matterComputer animation
15:15
Slide ruleConnected spaceOpen setService (economics)Form (programming)Graph (mathematics)CollaborationismLocal GroupGraph (mathematics)State of matterSemantics (computer science)CollaborationismTerm (mathematics)Different (Kate Ryan album)Group actionScaling (geometry)WikiGraph (mathematics)Projective planeType theoryOperator (mathematics)BitXMLComputer animation
16:00
Slide ruleForm (programming)View (database)BitXMLUML
Transcript: English(auto-generated)
00:00
My name is Simon Worthington, and I'm based here at the TIB. Yeah, you might have seen the panel title and description, and yeah, it's a really exciting opportunity. It's been a long time putting this together, and it's really great
00:21
to be able to put this in front of you as librarians, information managers, library information science people, get your feedback, and yeah, and I'd say yeah, thank you to the GrayNet conference, to the organizers, for Margaret Plank inviting me to put this presentation
00:42
together, the speakers, the panelists who've traveled all the way here. One of our panelists is remote, and I'll introduce him in a second. I think he's listening in to us from somewhere at the moment, but muted from the other side, and yeah, so I'm really, yeah, it's really,
01:04
really exciting. It's been an opportunity for me to bring together a number of aspects of collaborative authoring, and as I kind of describe it in the title, this flood of publishing, this kind of off-piste work, and for your note, I will put the slides,
01:21
different presenters will be put in the repository you're using, and there's a slide link here. You can pick them up now, at least of my slides, and I thought since we're in the Leibniz house, I would make a bit of a homage to Leibniz himself, and also I'm always very interested in
01:43
the kind of different histories and different approaches, and what we can learn from history. This was Leibniz's personal approach to his publishing flood, so he created an excerpt cabinet.
02:00
This was a large wooden cabinet. I don't think any of them exist as originals today. I think there are maybe reconstructions, so this cabinet would have been in this house, and I got this from a book called Paper Machines, about cards and catalogs, 1548 to 1929, by
02:21
a really wonderful author, Marcus Krajewski, published by MIT in 2011, and this was Leibniz's way of dealing with his flood, or the flood of publishing around at the time. This is a way in which he, in this device, this invention of his,
02:42
these were rods that he pulled out, and on them there were hooks, and then he would make little notes about what he'd found coming off from here, and then these were panels that were
03:08
his way of trying to organize the world around him. I've loved that picture for a long time, so any opportunity to share it. In a moment, I'll kind of take you through the format
03:23
of what we're going to do, but I would like to introduce you to our panelists. We have four panelists, well yeah, four of us. I'm acting as the chair on the panel, so about myself, my background is as a small publisher, and over that time I've been doing
03:47
that for 25 years or so, and I started with the web, with the World Wide Web, so as I've been publishing, I've been evolving with that work, and yeah, and then that is what has brought me to TIB
04:02
as a place that does that kind of work, and so yeah, I would consider myself a future publishing researcher, self-identified, and yeah, I'm based at the Open Science Lab here at TIB. Our speaker order has changed a little bit, but I'll take you through as I have them here.
04:21
We have Ludwig Hopp, who is a researcher, as I say, here in transformation of energy systems at the Reiner-Lemoné Institute in Berlin. Ludwig has studied as a master's in environmental technology and renewable energies, if I'm getting it right, at the HDW Berlin,
04:47
and I've been working with Ludwig on these questions, well yeah, about climate change and renewable energies, but also our shared interest in open science and the tools you can use,
05:02
so I think, yeah, Ludwig will be giving us an insight into the working experience of researchers, engineers, tools they're using, how it's affecting how they do their research and the context of open science, and yeah, and their making of open science, I suppose.
05:22
And next we have Daniel Speecher, who is based at the Bonn-Archen International Center for Information Technology, University of Bonn, and I came into contact with Daniel looking at the area of Jupyter Notebooks, so Jupyter Notebooks being a way in which you can
05:44
have text and computational artifacts, and you can run live code and create simulations, images, renderings, graphs, and yeah, and Daniel's area is in AI, how AI is, and I always kind of use
06:05
AI as also a synonym of machine learning, but Daniel can tell us whether I'm getting that right or not. And our fourth panelist is Peter Murray-Rust, who's actually going to come on
06:25
first because we have him via a video link, and so to make sure things go smoothly, we get that done first. Peter is a chemist, a professor of chemistry, now retired from the University of
06:40
Cambridge, and is known in the world of data mining, open access, policy, and a variety, well, yeah, of software and computational areas in chemistry, and I'm sure Peter can tell us about himself and things. Yeah, so these are the panelists. Yeah, the format of today is
07:12
we run to one o'clock, the presenters are going to give 15-minute presentations,
07:20
we'll take questions after each presentation, just so if there's something kind of, yeah, you want to, yeah, find out directly, and at the end, we're going to spend 20 minutes or so reflecting on what is a very wide area, and yeah, the different points that come out,
07:45
and myself, I just want to give you some perspective because I'm so interested in the area, and as far as a perspective as someone working in publishing, someone who cares about all the different parts of publishing and how things get done, and yeah, and I suppose,
08:05
as I say, this is about getting a kind of view into a very wide area, quite a number of different practices, but I would like to think that in a number of ways,
08:21
between Ludwig, Daniel, Peter, myself, it would seem that we converge around certain things, which is about what I would call semantic open access publishing, and so this means that a computational document, one where you can run simulations, code, you can have different
08:41
artifacts, and you end up with a publication, but you end up with a variety of, yeah, digital objects, let's call them, and I think in a sense, yeah, for me, this is also inspired by various kind of histories, like in paper machines, because what Marcus Krajewski puts forward here in this book is in the certain sense that the card catalog system formed a basis
09:08
of early computing, and we can think about the card catalog as the unbound book, so yeah, I think for me, various things flow into that, and at the same time, with open science and with
09:24
collaborative publishing, you have to provide pathways, you have to provide ways that people can engage, whether that's to do with skill sets or just being invited, knowing that they can be there, and so a brief five minutes from me to just talk about my publishing perspectives,
09:44
and then we'll bring Peter Murray Rust in by video. Yeah, on the question of semantic publishing, semantic open access publishing, I think the experience as a publisher
10:03
is wanting to have this much more dynamic publication, and in essence, meaning machine readable when you say semantic publishing, but if we, I suppose various points
10:24
how we might move through this, I've put together this grid, so we might move from the paper, and Barbara Ruling yesterday when talking about book sprints was talking about this need to evolve beyond the typeset paper, we know we moved into the PDF, but in a certain sense,
10:49
what we might be trying to get to is a more dynamic document has been imagined already, so I put in here the Dynabook, this is by Alan Kay, he wrote the paper about this in 1968,
11:03
and was thinking about how you could have a networked document with different simulations, computational elements in it, and this is what he and his teams put together at Xerox PARC, this is a little drawing of one of the prototypes, but it is what became the iPad,
11:28
the iPhone and the like, and now we end up at something which is picking up on those, which is I'd say Jupyter notebooks, and this is really where you look to have these types of artifacts being used. In terms of, I say open scholarship, open science
11:52
to broaden it out, to encompass all different types of disciplines in academia, but yeah, I mentioned pathways, so we saw one example of book sprints yesterday,
12:07
but book sprints come from a world of coding sprints, and here are three examples, so the first one here, wireless networking, this is done by that intense context where you get people in a room, this is one of the first book sprints made I think about 2004,
12:24
2006, called wireless networking in the development world, had 2 million downloads, endless amount of languages, endless revisions, but then another example is the Australian Research Council doing a remote sprint around fair data, and this was a very interesting
12:44
publication that came out of the difficulties of adopting fair data practices in different disciplines, and down to things where people might do dashes shorter than sprints, so the
13:01
Turing way out of the Alan Turing Institute, they've done another fair data implementation, but theirs is to do something in a day, not five days, a day, it's a bit of a book, and I suppose back to publishing and caring about the whole life of the publication,
13:23
we do have this flood, we have people on all different scholarly platforms all over the place, and how do we as librarians, custodians, people with remits to look after this work, keep hold of it, how do you, people are writing on these real-time writing platforms,
13:42
on GitHub, on Slideshare, I saw an interesting project that was actually dealing with this, it's a prototype by the Los Alamos Research Facility, and essentially as libraries they have created a crawler, so they say okay my academics are going to be on these 15 tools,
14:05
and we will crawl for their identities, their orchid IDs, and pull in their content, and they had a very interesting perspective there because they could really see that this was feasible, like you have 2,000 academics, the amount of data you're going to pull in is doable,
14:22
so yeah this off piece stuff can be kept track of, and another question about institutions being the service providers of these services, services come and go and they're dependent on the business models, but I think in a lot of the collaborative writing areas it's uncertain whether there's that
14:46
much interest in market provision, there isn't that much money to be made out of these things, so like with Etherpad, or they're just so easy to install, so things like Etherpad people as collaborative writers put them in place, and I want to give this a bit of a context in
15:01
terms of there being a confidence of institutions to do this, so the book by Mariana Mazzucato, The Entrepreneurial State, is looking at kind of challenging these conventions that maybe come about to think that institution states can't do these things, and yeah I suppose to round off,
15:24
to think about the different types of collaboration, so as groups working on something directly, say in a sprint, but we have wiki data where there's things are asynchronous, things are at scale, and of course I mention wiki data because it's very important in terms of this idea
15:44
of semantic publications, and we go up to yeah the example of TIB's project as one knowledge graph amongst many that saw an hour I was mentioning yesterday where there's aggregation, so I think yeah lots of different scales of collaboration going on, so I kind of yeah
16:03
want to just kind of end my publishing view there, gone over a little bit but not too much hopefully.