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Drafting a decision tree about sharing MRI data #4

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DorienHuijser opened this issue Nov 25, 2019 · 7 comments
Open
6 tasks

Drafting a decision tree about sharing MRI data #4

DorienHuijser opened this issue Nov 25, 2019 · 7 comments
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@DorienHuijser
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DorienHuijser commented Nov 25, 2019

Drafting a decision tree about sharing MRI data

Project Description

With the increasing amount of data sharing initiatives, researchers collecting MRI data cannot and do not want to stay behind. However, many researchers do not know where to start, what they can share and where, where they can find information or support, etc. Therefore, at Leiden University (the Netherlands), we started to develop a decision tree on sharing MRI data for researchers who are new to open science and data sharing. Among our group are both researchers and support people, but we would like to have more input on possible solutions and questions to be asked in the decision tree.

A possible extension of this initiative may include multiple types of data besides MRI data, as well as more details about tackling the GDPR. These are however outside of the scope of the current decision tree.

Skills required to participate

You are very welcome to contribute if you know anything about:

  • MRI data
  • GDPR / other privacy issues
  • Ethical issues with regard to data sharing
  • Data sharing or archiving repositories, or
  • Platforms suitable for hosting such a decision tree

Integration

We welcome people from all stages of research (student to PI) as well as research supporters (e.g., librarians, ICT support, technicians, etc.) in order to gather as much useful input as possible.

Intermediate goals:

  • Formulate all relevant questions that the decision tree must contain
  • Prioritize questions: which question should be posed when?
  • Formulate possible solutions to most pressing scenarios
  • Finish a first version of the decision tree
  • Discuss how to implement the decision tree
  • Discuss where to implement the decision tree (platform, website, etc.)

Preparation material

The brainstorm document can be found here and a first draft version of a tree for Leiden University can be found here. For other material and tutorials, see the OHBM list of online tutorials.

Link to your GitHub repo

GitHubRepo

Communication

Not available yet. Please e-mail me.

@jsheunis jsheunis added git - 0 no prior git knowledge Hackathon Project no code no coding experience required labels Nov 25, 2019
@stefanklein
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Hi Dorien, great initiative. Not sure if the issue list is the correct place to "subscribe", but I would be happy to contribute to this decision tree. I have some experience with sharing MRI data and platforms/tools for archiving/anonymization (XNAT, RSNA CTP, defacing brain scans), and also with discussions on pseudonymisation vs full anonymisation (although I'm not an expert on it at all!). I will be present on day 1 and 3 of the workshop, and be available for brainstorm all day except the 11:30-12:40. Best, Stefan

@jsheunis
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Hi @stefanklein this is the right place to subscribe :) great to see more people interested in this topic!

@DorienHuijser
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Hi @stefanklein, so great that you want to help! I do not consider myself an expert either, so your insights will be highly appreciated. Looking forward to meeting you!

@DorienHuijser
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@stefanklein If you still want to contribute, today there were no contributors for the decision tree, so maybe we could still do something tomorrow? If you have other plans, also no problemo!

@stefanklein
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tomorrow (thursday) is good!

@DorienHuijser
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@stefanklein I'm in the Willem Levelt room :)

@stefanklein
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do you have time after the BIDS talk?

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