Introduction

Data is at the heart of the discipline of archaeology. As we increasingly create information that is “borne-digital”, the need to understand and effectively implement data management becomes a core skill, especially for archaeological researchers. This resource is designed to address the unique challenges archaeologists face in data management, including some specific archaeological case studies to demonstrate effective data management within the discipline.

This training manual provides an introduction to the necessary knowledge and skills to effectively manage data throughout the research life cycle. The course covers:

• good practice in data management
• open research practices
• effective and efficient planning
• documenting your data
• ensuring your data’s long term preservation

This resource will allow users to gain a comprehensive understanding of data management practices and learn how to apply them to their own research projects, including how to create a data management plan for their own research projects and research funding applications. This resource is focused specifically towards researchers in the discipline of archaeology but is equally applicable to all researchers in heritage fields.

Bres, E. E., & Bittner, C. (2024). A collection of AI generated images visualising various RDM aspects (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.11147887

Who is this training resource for?

This resource is targeted to researchers from a range of different career stages, from early career researchers to more established and experienced Principal Investigators. Many of the concepts are relevant to doctoral research students, however, the focus of the training is on those who are leading and working in funded research projects

This resource is designed for those researchers who predominantly work in the discipline of archaeology, however, many of the core concepts are relevant to any researchers whose research focuses on heritage more generally.

Learning Objectives

By the end of this resource, users will be able to:

1. Identify the basic principles of data management for heritage based subjects and the research sector more generally.
2. Understand what constitutes ‘good practice’ in data management.
3. Critically analyse and appraise data management plans created for research projects.
4. Compile a data management plan for your own funding applications.

Navigating this resource

We recommend working through this resource from beginning to end to build a comprehensive understanding of data management principles. However, we understand that you may sometimes need quick access to specific topics. The search bar allows you to search the entire resource and quickly locate particular subjects, tools, or techniques. However, please remember that many concepts are interconnected, and earlier sections often provide important context for later material.