Career Development in Mental Health Data Science
DATAMIND works to make the best use of the UK's rich health records and datasets for mental health research. As part of this work, we are providing training and career development opportunities for early career researchers in the interdisciplinary area of mental health data science. We would like to know what career development opportunities would be useful for researchers with an interest in this area.

We are interested in your opinion regardless of your background. Even if you have no current experience in the use and linkage of datasets for health research, we would love to hear from you.

For more information on DATAMIND please see here: https://www.hdruk.ac.uk/helping-with-health-data/our-hubs-across-the-uk/datamind/ 

How will we use your data? The information you provide in this form will be used to design relevant career opportunities for early career researchers. If you provide an email address at the end of the survey, this will be used to contact you about future career development and training opportunities run by MQ, as part of the DATAMIND project. Your data will be processed in accordance with our privacy policy: https://www.mqmentalhealth.org/privacy-policy/
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1. Do you consider yourself an early, mid or late career researcher? *
2. Approximately how many years of full-time-equivalent post-graduate research experience have you had since first submitting your PhD? *
3. Please tell us your research discipline. If you identify with more than one, please indicate as such. *
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5. Please rate how helpful each one of the following methods would be, or have been, for your career development.
5a. Mentoring
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5b. Networking opportunities
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5c. Instructor-led training
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5d. E-learning (self-directed)
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5e. Webinars
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5f. Q+A sessions with experienced researchers
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5g. Panel discussions
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5h. Special projects or situational challenges. For example, this might include novel tasks or challenges to work through in groups.
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5i. Career planning workshop
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5j. Conferences (or other opportunities to present and share findings)
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6. Training Needs
Tell us the areas in which you would most appreciate support and training over the next 1 to 3 years.

Please list up to 5 specific areas (either soft or technical skills) and list them in order of importance starting with 1 (most important).

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7. What have you found to be the best sources of career development training? Please list the organisations providing training opportunities, including your university if relevant, and/ or describe the opportunity.
8. Do you have any other ideas for how researchers could be supported in their career development which are not covered in this survey?
9. Would you like to be contacted about future training opportunities in the area of mental health data science? *
10. If you responded yes to the previous question, please provide your email in the box below.
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