Open jsheunis opened 4 years ago
Is this session going to be recorded/available after?
@jsheunis will the video be available? Thanks!
Ha ha- yes, provocative important topic. My quick contribution to this discussion (because my one brain is already on fire)
Open Science mandates that the data which support the scientific result in a publication /research is made available for scrutiny evaluation (many mistakes are not catched by reviewers but by others who try to repeat experiments for example)
this does not have any negative implication for the clinical researcher, other that they have to show their data Do you think clinical researchers which have nothing to hide should not show what data they have used?
We need to transcend duality (ie the polarity of these two extremes examples that you posit)
A clinical researcher, needs to accept to disclose the data when they publish research based on it, to enable some level of verification, to enable reproducibility. They need to show consistency (ie that the conclusion follows the result) We see a lot of arbitrary conclusions that do not follow the results, because ultimately the results are not really shown, only the interpreted/cleaned up results are shown.
The rest of the data, after clinical scientists have published their work, should be made open access when the researcher has no more use for it - (if not earlier of course) because it would be wasted otherwise
Nobody is obliged to embrace OS, only those who feel it is beneficial for their research, for others.
Look forward to this discussion
PDM
On Thu, Jun 25, 2020 at 4:44 PM Demian Wassermann notifications@github.com wrote:
@jsheunis https://github.com/jsheunis will the video be available? Thanks!
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Dear PDM
Ha ha- yes, provocative important topic. My quick contribution to this
discussion (because my one brain is already on fire)
In my view, it's a critical topic. We can talk about infrastructure all day long, if we can't get commitment from people that actually have the data, it won't help. And in my view the only way forward is a give-and-take, not pressure
Open Science mandates that the data which support the scientific result in a publication /research is made available for scrutiny evaluation (many mistakes are not catched by reviewers but by others who try to repeat experiments for example) this does not have any negative implication for the clinical researcher, other that they have to show their data. Do you think clinical researchers which have nothing to hide should not show what data they have used?
There is a big difference between making data available for scrutiny and sharing it for re-use, even though both aspects are often conflated in the current discussions
A clinical researcher, needs to accept to disclose the data when they publish research based on it, to enable some level of verification, to enable reproducibility. They need to show consistency (ie that the conclusion follows the result) We see a lot of arbitrary conclusions that do not follow the results, because ultimately the results are not really shown, only the interpreted/cleaned up results are shown.
I would argue that this is in no way a specific problem of clinical research. Not at all. And, just as a side-note, does not require access to the raw data.
The rest of the data, after clinical scientists have published their work, should be made open access when the researcher has no more use for it
- (if not earlier of course) because it would be wasted otherwise
We can all agree that this is desirable, but it brings us back to the starting point of just requiring something from data providers (should) for the benefit of others (data consumers), i.e., a one-way street of benefit.
Nobody is obliged to embrace OS, only those who feel it is beneficial for their research, for others.
I would agree here, though I would see it as highly desirable if more data were to be available through sharing
Cheers Simon
On Thu, Jun 25, 2020 at 4:44 PM Demian Wassermann notifications@github.com
wrote:
@jsheunis https://github.com/jsheunis will the video be available? Thanks!
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Univ.-Prof. Dr. med. Simon B. Eickhoff
Director, Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf, Germany Tel: +49 211 586729-127 <0211%20586729127> eMail: Simon.Eickhoff@uni-duesseldorf.de http://www.uniklinik-duesseldorf.de/systemneurowiss
and
Director, Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour ) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 1791 <02461%20611791> eMail: S.Eickhoff@fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
Thank you Simon we seem to agree
Data sharing means showing the underlying datasets when research is published, should be mandatory for that only- but it is often presented as something else so that newcomers back away from openness and ebcome intimidated
There are lobbies trying to mud the scientific research waters for reasons that we know all too well
For example the issue of consent is presented as a massive roadblock to open science
It is also important but as someone said, it is used as a blanket objection to transparent practices Consent is important and we need to get it right, but if we handle the matter of consent properly, it may not be an obstacle to open data Same for other related issues.
Open Data/Science needs to be better understood, and to some extent it is necessary to overcome the manipulation of research results for whatever overt purposes.
Let's continue to talk about this topic! Thanks for opening the thread
PDM
On Thu, Jun 25, 2020 at 6:08 PM SBEickhoff notifications@github.com wrote:
Dear PDM
Ha ha- yes, provocative important topic. My quick contribution to this
discussion (because my one brain is already on fire)
In my view, it's a critical topic. We can talk about infrastructure all day long, if we can't get commitment from people that actually have the data, it won't help. And in my view the only way forward is a give-and-take, not pressure
Open Science mandates that the data which support the scientific result in a publication /research is made available for scrutiny evaluation (many mistakes are not catched by reviewers but by others who try to repeat experiments for example) this does not have any negative implication for the clinical researcher, other that they have to show their data. Do you think clinical researchers which have nothing to hide should not show what data they have used?
There is a big difference between making data available for scrutiny and sharing it for re-use, even though both aspects are often conflated in the current discussions
A clinical researcher, needs to accept to disclose the data when they publish research based on it, to enable some level of verification, to enable reproducibility. They need to show consistency (ie that the conclusion follows the result) We see a lot of arbitrary conclusions that do not follow the results, because ultimately the results are not really shown, only the interpreted/cleaned up results are shown.
I would argue that this is in no way a specific problem of clinical research. Not at all. And, just as a side-note, does not require access to the raw data.
The rest of the data, after clinical scientists have published their work, should be made open access when the researcher has no more use for it
- (if not earlier of course) because it would be wasted otherwise
We can all agree that this is desirable, but it brings us back to the starting point of just requiring something from data providers (should) for the benefit of others (data consumers), i.e., a one-way street of benefit.
Nobody is obliged to embrace OS, only those who feel it is beneficial for their research, for others.
I would agree here, though I would see it as highly desirable if more data were to be available through sharing
Cheers Simon
On Thu, Jun 25, 2020 at 4:44 PM Demian Wassermann < notifications@github.com>
wrote:
@jsheunis https://github.com/jsheunis will the video be available? Thanks!
— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/ohbm/osr2020/issues/62#issuecomment-649383710, or unsubscribe <
https://github.com/notifications/unsubscribe-auth/ACFKUCOXMJ43SVIFENQDRJTRYME7HANCNFSM4N2EPY6Q
.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/ohbm/osr2020/issues/62#issuecomment-649418192, or unsubscribe < https://github.com/notifications/unsubscribe-auth/AE2Y32WX7XIK4Q5VDIURKA3RYMJV5ANCNFSM4N2EPY6Q
.
--
Univ.-Prof. Dr. med. Simon B. Eickhoff
Director, Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf, Germany Tel: +49 211 586729-127 <0211%20586729127> eMail: Simon.Eickhoff@uni-duesseldorf.de http://www.uniklinik-duesseldorf.de/systemneurowiss
and
Director, Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour ) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 1791 <02461%20611791> eMail: S.Eickhoff@fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
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I've found the video on Crowd Cast! Now my next question is where can we pick up on this discussion? 4am was too early for me and this is a topic I'm very much interested in and involved with (both as a producer and consumer of data)
@derekbeaton @demianw yes the recording is available through crowdcast. If you register here for free you will receive the links and passwords to join. You can also join the continued discussion via text-chat on this public channel on the Brainhack Mattermost workspace.
Advocating open science is easy for data consumers
By Simon Eickhoff, Forschungszentrum Jülich & Heinrich-Heine Universität Düsseldorf
Abstract
Some labs/individuals support and practice open science, others do not. While much of this may be due to individual socialization and believes, there is a deeper pattern
The goal of this session is to discuss, wow can this gap be bridged, acknowledging that the advantages of open practices are already well recognized. Education about open science and appeal to moral responsibility seem to have limited effects, though, given the structural imbalance of open data, as well as the difference in incentive structure and career goals among the different populations.
Useful Links
Public Mattermost channel for discussions prior to, during and after the session.
Tagging @SBEickhoff @dr-xenia @pimpul