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Short term

The short term goal of this project is to make the COBIDAS report (and similar guidelines) easier to use.

We want to create a prototype website with a clickable checklist that, at the end, automatically generates most of the method section of a (f)MRI or (i)EEG / MEG or PET paper.

So far the common short goals of all the versions of the app (for MRI, PET...) are:

  • Create a set of tools and a proof of concept web-app that can:

    • ✅ convert a set of spreadsheet of items into a schema that represents all

    • ✅ from this schema generate a checklist to be clicked through by users,

    • ✅ outputs a set of JSON-LD files once the user is done,

    • 🏗 generate a method section using these JSON-LD files and some boilerplate template of a method section where the content of the JSON-LD files could be reinjected.

For the spreadsheets that represent the recommendation guidelines, the initial curation process must:

  • 🏗 identify high-priority items for each checklist,

  • 🏗 ensure that those high priority items has been properly atomized (meaning that it is only made of a single question) and curated (define an item name, a question, the type of response expected and an eventual list of response choices).

MRI

The current version of MRI prototype is inspired from Neurovault, so we would have to expand from there.

The goal for the MRI app would to be able to describe a typical fMRI study with:

  • a single functional task
  • one anatomical scan
  • using mass uni-variate analysis

M/EEG

The MRI version is currently ahead and the work done there can pave the way for the MEEG version.

The MEEG COBIDAS guidelines have recently been published (see the preprint and webpage).

The main short term goals for the MEEG version are:

  • ✅ Identify overlaps between the MEEG and the MRI spreadsheets and harmonize both versions by extracting the common parts into standalone spreadsheets: for example there could be one common spreadsheet for participant sample description.

  • 🏗 Consolidate the other items of the spreadsheet, as it is still missing a lot of information

  • 🏗 Identify high-priority items in the checklist (similar to Carp 2012 for fMRI, e.g. Luck & Gaspelin 2015)

PET and eyetracking

Those 2 projects are more quite ahead already as they both started from fairly standardized spreadsheets.

Both could benefit from a better definition of the response types and response options.