Data management plan: METEOR – methodologies for teamworking in eco-outwards research

This file (DOCx) provides the description of data management plan for project METEOR. This is an original study designed to explore researchers’ perspectives on their professional experiences and training. The aim is to develop a model for a professional development programme that enhances transversal (transferable) research skills.

Type of data: - Quantitative (Ordinal): Likert-scale responses on skill levels (1–5)
- Qualitative (Textual): Open-ended narrative answers
- Categorical: Demographic data (e.g., gender, age range, nationality)
- Personally Identifiable Information (PII): Name, email, disability info (optional)

Format
- Online survey platform exports (e.g., Qualtrics, MS Forms)
- .csv or .xlsx for structured data
- .docx or .txt for qualitative responses
- .pdf or digital images for signed consent (if applicable)
- Analyzed data in .sav (SPSS), .rds (R), or .qdpx (NVivo) as needed

Volume of Data:

- Estimated 15 –150 participants
- ~50 data fields per participant
- Resulting in ~100–150 MB of data in total
(depending on qualitative response length and number of responses)