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STT Responsible Conduct of Research (RCR) Plan

Department of Statistics and Probability (STT)
Responsible Conduct of Research (RCR) Plan

This Responsible Conduct of Research (RCR) plan applies to students who began the statistics graduate program in Fall 2017 or later https://grad.msu.edu/researchintegrity. The Graduate School RCR Workshop series may be used to help fulfill both the annual refresher and discussion-based training requirements: https://grad.msu.edu/rcr

Students who are supported by an NSF award may be required to complete additional specific training; they must meet the timeline and content requirements of training for that award.

Students engaged in research involving human subjects must complete the Michigan State University training modules for human subjects before submitting IRB approvals.

All Statistics graduate students must complete item 1) AND item 2) below:

1) Year 1

The following FOUR (4) CITI online modules must be completed within the first year of enrollment in the statistics graduate program. Please visit https://grad.msu.edu/researchintegrity and scroll towards the bottom. Click on the orange box, which says "CITI (actual training modules)." This will take you to the CITI site. You may need to create an account. Completion of this requirement will be tracked in Ability LMS https://ora.msu.edu/train/.

  • Introduction to the Responsible Conduct of Research
  • Authorship
  • Plagiarism
  • Research Misconduct

2) Discussion-Based Training

All graduate students must complete a total of 6 hours of discussion-based training prior to receiving their degrees. These hours can be completed at any point in the graduate program, including during the first 2 years. Discussion-based training can occur in a variety of venues, including (but not limited to) discussions which occur naturally with research supervisors during the course of regular research meetings, and discussions which occur naturally with instructors in the course of regular graduate classes as part of class participation. For all graduate students completion of this requirement will be recorded by STT in GradInfo** as “Initial” training.

Each year as part of the annual review process students will submit a report describing the Discussion-Based Training completed during that academic year and will share this report with their advisors. Student and advisor will sign and date the report, and the student will submit it to the Graduate Program Coordinator for recording in GradInfo**.

 

All master’s Plan A students and all doctoral students in Statistics must complete item 3) below, in addition to item 1 and item 2 above:

3) Year 2

Within the first 2 years of enrollment in the statistics graduate program, doctoral and master’s Plan A will complete 3 additional MSU online training modules, to be selected from the following list. Completion of this requirement will be tracked in SABA.

  • CITI Collaborative Research
  • CITI Conflicts of Interest
  • CITI Data Management
  • CITI Financial Responsibility
  • CITI Mentoring
  • CITI Peer Review
  • Rigor and Reproducibility Course
  • Human Research Protection/ IRB Certification (in http://Train.ORA.msu.edu)

Please visit https://grad.msu.edu/researchintegrity and scroll towards the bottom. Click on the orange box, which says "CITI (actual training modules)." This will take you to the CITI site. You may need to create an account.

In addition to items 1, 2 and 3 above, doctoral students will complete the following 4th item:

4) Annual Refresher Training

Starting in year 3, all doctoral students must complete 3 hours of annual refresher training per year; this can include discussion-based training and online courses beyond those required in Items 1) and 3). Completion of this requirement will be recorded by STT in GradInfo as “Annual” training.

Each year students in year 3 or later of the program will submit a report describing the 3 hours of Annual Refresher Training and will share this report with their advisors. Student and advisor will sign and date the report, and the student will submit it to the Graduate Program Coordinator for recording.

**Please note:

The Graduate School is developing a new version of GradPlan that will be used by all Master’s and Doctoral (Ph.D.) Students. The new GradPlan will go live in Campus Solutions on January 11, 2021.

  1. Ph.D. students who graduate in Fall 2020, Spring or Summer 2021 will continue to use the current GradPlan.  Master’s students who graduate in Fall 2020, Spring or Summer 2021 will continue to follow the current paper process. 

  2. Beginning January 11, 2021 all newly admitted Doctoral (Ph.D.) students (from Summer or Fall 2020 and Spring 2021), any Doctoral (Ph.D.) students graduating Fall 2021 or after, and any master’s student who will graduate Fall 2021 or after will use the new GradPlan.

upcoming events

Colloquium - Vladimir Koltchinskii

Institution: Georgia Institute of Technology
Title: Bias reduction and efficiency in estimation of smooth functionals of high-dimensional parameters
Date: October 27, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Daylight Time (EDT)

 

Colloquium - Ian McKeague

Institution: Columbia University
Title: Significance testing for canonical correlation analysis in high dimensions
Date: November 3, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)

 

Colloquium - Lin Chen

Institution: University of Chicago
Title: Integrative Genomic Association and Mediation Analysis
Date: November 10, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)

 

Colloquium - Eric Chi

Institution: North Carolina State University
Title: [TBA]
Date: November 17, 2020
Location: Zoom
Time: 10:20 AM - 11:10 AM Eastern Standard Time (EST)