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Research Data Management Toolkit: Planning

Best practices in Research Data Management promote research integrity and collaborative opportunities. A Data Management Plan ensures data security, accessibility and validation of results.

About this Guide

This guide was developed by Katina Toufexis and Felicity Renner.  Guide and image content was provided by Katina Toufexis. Graphic design and advice was provided by Jon Steingiesser and Christopher Hotinski.

In preparing this guide, information was gathered from numerous Research Data Management guides available in this area.  Our thanks go to our colleagues in the Research Data Management community.

Under LibGuide agreements the material in this guide can be shared within the LibGuide community.  The material may also be re-used for non-commercial purposes beyond LibGuides however we would ask for acknowledgment and notification from the user.

Please note that The University of Western Australia is not responsible for the content of any external links within this LibGuide.

Research Data Management Planning

Prior to the commencement of a project, researchers are encouraged to document their Research Data Management Plan.

This guide provides detailed information to support researchers in managing and recording their research data procedures regarding ownership, collection, organisation, storage, backup, retention, disposal and access.

Benefits

Effective data management will ensure the responsible conduct of research in several keys areas which are outlined in the diagram below.

Benefits of Research Data Management Planning Compliance Efficiency Access Quality Security

Compliance:

Efficiency:

  • Improves management of data and the research process.
  • Encourages systematic documentation and descriptions of the research data.
  • Provides guidelines and procedures ensuring consistency.

Security:

  • Safeguards against data loss.
  • Ensures confidentiality and ethical compliance.
  • Guarantees legal compliance to intellectual property rights such as copyright.

Access:

  • Allows researchers to validate and verify published results.
  • Enables collaborative research opportunities thereby increasing the potential scale and scope of research.
  • Prevents duplication of research within a particular field.
  • Allows data sharing and future use when the data is preserved in retrievable formats.
  • Increases citations for the researcher.

Quality:

  • Allows for data replication or reproducibility.
  • Increases the accuracy or reliability of the data.
  • Ensures research data integrity.

UWA Research Data Management Slides

Introductory slides to Research Data Management at UWA.

Research Data Management Services and Online Systems at UWA - an overview

Managing Research Data

This Piers Video Production documentary, Digital Curation Centre: Managing Research Data, offers an insight into the importance of providing access to research data and the risks of not managing data effectively.

Costing Data Management

Prior to the commencement of research activities the cost of research data management must be included either for the research data management plan, or for funding applications.

Pricing is required for necessary resources needed to complete each step of the Research Lifecycle.

The UK Data Archive's Acitivity-based data management costing tool for researchers is a useful tool for costing data management.