Data Capture Call 2016-05-10

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Just as a reminder from the previous notes, these are the tasks and scenarios we wish to tackle:

  1. Generating documentation to lead GO curators towards the individual annotations they’d like to see. (?)
  2. Assisting “one time” Groups who wish to submit a GAF file with annotations.
  3. Assisting non-GOC Groups who wish to regularly contribute annotations using one of the available tools.
  4. Assisting groups who wish to make contributions to the ontology: capturing ontology edits.
  5. Offering Training: Training and checking annotations from non-GOC groups takes time. We need to improve on available documentation and create necessary training materials to facilitate this process for other communities. Also we will need to ensure programatic QC methods to facilitate that process as well.
  6. Encourage metadata collection at time of publication: e.g. authors could suggest GO terms that would be appropriate for their data. This probable needs to be done in coordination with other consortia involved in standards.


Agenda

1. Taking into account the draft Seth proposed on GitHub (https://github.com/geneontology/contributor-data-pool):

  • Discuss how to keep track of the quality of the data we consume:
    • Syntactic check ?
    • Semantic check ?
    • Check the biology manually ?
  • Discuss maintenance of datasets in the long term: what happens when annotations become stale and submitting groups have disappeared?


2. Flowchart. To improve on the "decision tree" currently available on the GO Website at "Contributing to GO", we should add:

  • Information about which identifiers can be used
  • Information to assist contributors in deciding what to do depending on the nature of their data. For example, whether they are contributing annotations for "normal biological processes" or "disease pathology".


3. Report from Seth + Planteome data export experiment is postponed for next call.


Minutes

To be added somewhere in minutes More detailed decision tree focused just on getting input from scientists about the accuracy of the existing GO annotations/ensuring GO describes known biology. This figure was submitted to GO book (Ruth) but people are welcome to edit it (https://docs.google.com/presentation/d/1K6U2L-F7rmGEPBAfkeF_GobinTKTE1j6P8bfLM6huPY/edit?usp=sharing). But there isn't really room to put in all the other decision aspects trees. So might need to think about a general tree that then branches out to separate decision trees rather than trying to put everything on one page. Or maybe this is just too much information for what we want here.

ToDos

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