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Research Data Management: UCD Library DMP for Student Research Projects

Bringing together University resources and services to facilitate researchers in the production of high quality data.

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

Help@UCD: UCD Library Data Management Checklist for Student Projects

Data Management Checklist (Students)

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.