©2020 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2020 Biological and Chemical Oceanography Data Management Office.Developing robust professional networks can help shape the trajectories of early career scientists. Yet, historical inequities in STEM fields makes access to these networks highly variable across academic programs, and senior academics often have little time for mentoring. Here, we illustrate the success of a Virtual Lab Meeting Program (LaMP). In this program, we matched students (“Mentees”) with a more experienced researcher (“Mentors”) from a research group. The Mentees then attended the Ment...
Show moreThe data accompanying these metadata reside at the Dryad repository. Dryad has provided the dataset DOI and is linked on this dataset metadata landing page.
Raw survey data is not provided to protect the anonymity of participants. Survey responses were summarized for each study question and those summaries are provided in the following data tables.
Description of the data files:
mentee-collaborate.txt: This table summarizes Mentee responses to the question of whether they expect to collaborate with host labs in the future.
Columns:
* Collaborate Category of response
* Mentees: Number of participants that selected that category.
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mentee-futureinteract.txt: This table summarizes Mentee responses to the question of whether they expect to interact with host labs in the future.
Columns:
* Future_Interactions: Category of response
* Mentees: Number of participants that selected that category.
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Mentee-Knowledge.txt: This table summarizes Mentee responses to the question of what kind of knowledge they gained through the program. Mentees were instructed to select any that applied.
Columns:
* Gained: Category of response
* Mentees: Number of participants that selected that category.
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Mentee-ProfDevelop.txt: This table summarizes Mentee responses to the question of what areas of professional development were covered in lab meetings. Mentees were instructed to select any that applied.
Columns:
* AreasProfDevel: Category of response
* Mentees: Number of participants that selected that category.
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mentee-recommend.txt: This table summarizes Mentee responses to the question of whether they would recommend the program to a friend.
Columns:
* Recommendtofriend: Category of response
* Mentees: Number of participants that selected that category.
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mentee-stipend.txt: This table summarizes Mentee responses to the question of how important the stipend was to Mentee's completion in the program.
Columns:
* Category: Category of response
* Participants: Number of participants that selected that category.
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MenteeDiversity.csv: This table summarizes Mentee responses to demographic questions.
Columns:
* Q4_genderID: Gender categories
* Q5_racialID: Racial and ethnic group categories
* Q6_sexOrient: Sexual orientation categories
* Q7_disability: Disability categories
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MenteeMentorsQs.xlsx: This spreadsheet has a list of questions that was used in the survey. There are two tabs: "Mentee" and "Mentor".
Columns:
* ColumnNameForR: The name of the object used in R
* Question: The question from the survey corresponding to that R object.
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Mentor-future-interact.txt: This table summarizes Mentor degree of response to the statement of whether they plan to interact with the Mentee in the next year.
Columns:
* Future_interaction: Category of response
* Mentors: Number of participants that selected that category.
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Mentor-lab-benefited.txt: This table summarizes Mentor degree of response to the statement of whether their lab benefitted from the program.
Columns:
* Laboratory Benefited: Category of response
* Mentors: Number of participants that selected that category.
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Mentor-labwillbereousrce-mentee.txt: This table summarizes Mentor degree of response to the statement of whether their lab will be a resource in the future for the Mentee.
Columns:
* Labwillbearesource: Category of response
* Mentors: Number of participants that selected that category.
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mentor-participate-again.txt: This table summarizes Mentor degree of response to the statement of whether they would participate as a Mentor in the program again.
Columns:
* ParticipateAgain: Category of response
* Mentor: Number of participants that selected that category.
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mentor-time.txt: This table summarizes Mentor responses to the question of how much time they spent over the course of an academic year, in addition to lab meetings, on participation in the program.
Columns:
* Time: Category of response
* Mentors: Number of participants that selected that category.
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MentorDiversity.csv: This table summarizes Mentor responses to demographic questions.
Columns:
* Q4_genderID: Gender categories
* Q5_racialID: Racial and ethnic group categories
* Q6_sexOrient: Sexual orientation categories
* Q7_disability: Disability categories
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Mentors-mentee-contrib.txt: This table summarizes Mentor responses to the question of how the Mentee contributed to lab meetings. Mentors were instructed to select any that applied.
Columns:
* Mentee_contributions: Category of response
* Mentors: Number of participants that chose that category
Lotterhos, K., Bernal, M., Phifer-Rixey, M., Hanley, T. (2024) Data From: Lighting pathways to success in STEM: A virtual Lab Meeting Program (LaMP) mutually benefits mentees and host labs. Dryad (Version 3) Version Date 2024-04-09 [if applicable, indicate subset used]. doi:10.5061/dryad.p2ngf1vzp [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.