Survey Instructions

Enter an anonymous 5-DIGIT numeric personal identifier when prompted:

--> Store this number in a safe place - you can return to enter and revise up to the closing date of the survey.

--> Participants can click the survey link to re-open the survey and revise responses.

Note: The respondent must use the same computer they started the survey on.  A cookie is stored in the respondent’s browser that remembers their survey responses. Making entries from different computers under the same 5-digit identifier has been found to create separate result submissions.


Summary Request

In addition to completing the on-line survey, the MRG requests that each participant prepare a short write-up that summarizes:
·         the approach taken
·         the methods used
·         the key findings obtained.

These anonymous write-ups will be posted on-line and linked to each participant's results.

These write-ups provide each participant the opportunity to communicate their results in their own words and share important details about the analysis that may not have been captured in the on-line survey.

Please e-mail your anonymous write-up as a pdf file to anonymousmrg2016@gmail.com.

The file name should match the 5-digit code that you entered at the beginning of the on-line survey.

 

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* 1. Define and enter a 5-DIGIT numeric personal identifier between 11112 and 99998.
    - Choose an uncommon set of numbers (i.e. do not use 12345, 24680, 13579).
    - Avoid repeating 3 or more digits in a row (e.g. 66666, 44777, 78889)

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* 2. Which best describes your lab?

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* 3. Does your facility have a core or resource status?

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* 4. What describes your present position?

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* 5. Besides metabolomics, what other technologies does your core laboratory perform?

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* 6. How long has your laboratory performed metabolomics experiments?

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* 7. What software, including version, was used for peak detection? (Please state the key parameters).

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* 8. Following the peak detection stage, what methods were used for data analysis (PCA, Student’s t-test, etc.)? Please list any software/scripts utilized.

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* 9. Did you include the provided technical replicates data in your statistical analysis?

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* 10. Was the data normalized? (If so, please indicate the methods used).

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* 11. Was the accurate retention time used at any point in the analysis?
(If "yes", please briefly explain how -- e.g. using in-house retention-time library).

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* 12. What was the error window (PPM) you used to assign a putative identification to a metabolite?

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* 13. What do you think is the primary bottleneck in the metabolomics field?

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* 14. What other studies would you like the MRG to organize in the future?

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* 15. Are you an ABRF member?

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* 16. What conferences do you attend?

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* 17. Would you be interested in a short course or tutorial on metabolomics topics at a future ABRF meeting, e.g. on Saturday before the main meeting begins?

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