Research Data Management: UCD Library DMP for Student Research Projects
At a Glance
UCD Library's DMP template for student research projects is a simplified version of our Data Management Checklist, ideal for use during Undergraduate and Post Graduate research projects.
- Project Description
- Data Description
- Data Organisation & Documentation
- Storage, Backup & Security
- Legal & Ethical Requirements
- Data Sharing & Long-term Preservation
- Science Europe: Practical Guide on Research Data ManagementAdapted from Practical Guide to the International Alignment of Research Data Management by Science Europe, licensed under CC BY 4.0
Help@UCD: UCD Library Data Management Checklist for Student Projects
- UCD Library Data Management Checklist (Students) [Information Sheet]Use this template as a guide to help you develop a research data management plan for your student research project.
DMP Template for Student Research Projects
Use this template as a guide to help you develop a research data management plan for your research project. It’s important to consider data management at the beginning of your project.
Why Manage your Research Data?
- Efficiency: makes your own research easier
- Safety: protects valuable data
- Quality: better research data = better research
- Compliance: with ethical codes & data protection laws
Project Description
Provide information such as name of the student, name of the supervisor, project title and the aim/ purpose of the research.
Data Description
What data will be collected or produced?
- Give details on the kind of data: for example numeric (databases, spreadsheets), textual (documents), image, audio, video, and/or mixed media.
- What data formats will be used (for example pdf, csv or txt)?
- Give preference to open and standard formats as they facilitate sharing and long-term re-use of data.
- Will existing data be used? For example from a data archive or repository.
Data Organisation & Documentation
How will the data be organised during the project?
- Consider file naming conventions, folder structures & version control.
What documentation will you generate?
- For example information on the methodology used to collect the data, analytical and procedural information, definitions of variables & units of measurement.
- Documentation can also include questionnaires, interview protocols, lab notebooks, code or scripts, consent forms, samples weights, methods or readme files.
- Document your data so that someone else could understand it.
Storage, Backup & Security
How will data be stored and backed up during the project?
- Your UCD account gives you access to a number of different file storage and file sharing options, including Google Drive and OneDrive. You can use these services to save your files, keep a backup of your files and share files with other people.
- Back up your project, with three copies of your data, on two different media (physical and in the cloud), with one backup in a different location.
How will data security and protection of sensitive data be taken care of during the project?
- Comply with the UCD Password Protection Policy.
- File encryption can be used whether you want to store sensitive data, securely email it, or just add an additional layer of security.
- Note: Please remember that if you email an encrypted file, then do not email the password. Please phone or SMS the password to the person.
Legal & Ethical Requirements
If personal data are collected, how will compliance with legislation on personal data and on security be ensured?
- Gain informed consent for preservation and/or sharing of personal data.
- If possible, collect the necessary data without direct identifiers.
- Do not store or share sensitive data on unencrypted devices.
Data Sharing & Long-term Preservation
How and when will data be shared?
- If you feel your data would be valuable to another researcher consider depositing them in a trustworthy data repository. Choose a discipline specific repository if one is available, otherwise choose a multidisciplinary repository.
- Indicate whether potential users need specific tools to access and (re-)use the data. Consider the sustainability of software needed for accessing the data.
- Persistent identifiers should be applied so that data can be reliably and efficiently located and referred to. Persistent identifiers also help to track citations and re-use. Typically, a trustworthy, long-term repository will provide a persistent identifier.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License