STEMskiller: Skill Set Map for Mentors of Early Career Researchers
While STEM researchers produce and work with many kinds of data, trends in managing and providing access to research data for grant and journal requirements are evolving in many countries. Mentors should ensure mentees are aware of recent trends; this section provides links to information about various topics related to research data that can be shared with mentees to supplement local and national sources of information. Mentees should also be aware of data requirements for journals in which their work will be published; sample Nature and Science guidelines are included below.
Research data useful resources:
American Association for the Advancement of Science. (2021). Science journals editorial policies: Data and code deposition. https://www.sciencemag.org/authors/science-journals-editorial-policies
Recommendations for deposition of data in various disciplines.
DocEnhance. (2021). Course: Data Stewardship. https://courses.docenhance.eu/course/view.php?id=3
Self-guided open course on how to supervise doctoral candidates including 11 modules on various aspects of data management. Developed as part of the DocEnhance project.
MIT Libraries. (n.d.). Data management. https://libraries.mit.edu/data-management/
Overview and links to information for all aspects of research data, emphasizing its management. While geared towards MIT researchers, concepts are applicable to all institutions.
Springer Nature Journals. (2021). Data Policies. https://www.nature.com/sdata/policies/data-policies
TU Delft OpenCourseWare. (n.d.). Open Science: Sharing your research data with the world. 2.1.2. Introduction to Research Data Management. https://ocw.tudelft.nl/course-lectures/2-1-2-introduction-to-research-data-management/
Tags: IPS QL; Comp; CompGS
Peer Review: None
Table of contents:
1.6. Research data
- 1.6.1. Data gathering and organizing
- 220.127.116.11. Data management
18.104.22.168. Open data management: history of open data initiatives, why important, current trends & guidelines
1.6.2. Working with data (modeling, simulation, analysis)
- 22.214.171.124. Data analysis: concepts and definitions, resources for learning more
126.96.36.199. Advanced techniques in modelling complex systems
188.8.131.52. Information processing and exchange
184.108.40.206. Using R for statistical data analysis
220.127.116.11. Programming/coding basics
18.104.22.168. Software usage and development
22.214.171.124. Sensitive data
1.6.3. Presenting data
1.6.4. Storing data
- 126.96.36.199. Open archives
Author: Stephanie Krueger
Peer Reviewer(s): None
Last Updated: October 26, 2021