Having a well-considered plan for the structure and organisation of your research data will improve it’s management, access, and re-use. The organisation of data is especially important in team projects where more than one person will be accessing and analysing the data.
The key methods and approaches to consider are:
Digital file names are important for identifying and finding a digital file. Researchers should develop and communicate a clear system of naming files so everyone involved in the research project understands and can appropriately apply the file naming rules to create and locate files.
The following examples highlight basic principles of file naming.
Consider the advice in the Document Naming Guidelines [PDF, 258kB] from Curtin Information Management & Archives and how it applies to your own research. This is for Curtin staff only and requires being logged in first to the Curtin staff portal).
Like file naming, systems to organise folder and file directories require coherency and consistency.
This will ensure it is easy to locate, organise, navigate and understand the context of all files and versions.
Other concepts to consider include:
View the UK Data Service Organising Data resource for a brief outline on structuring and organising data.
Over the duration of a research project, a dataset will undergo many changes. They may be as simple as adding more sets of findings, or as major as the addition of a new dimension or type of measurement.
One of the tools used to address these needs is versioning. This refers to a system of keeping the old versions of a file and tracking the changes made in each version.
The most basic forms of versioning are manual systems. These usually contain two important elements:
These are outlined in the ARDC Data Versioning guide and the UK Data Service Version Control and Authenticity page which outlines the best practice of version control and provides examples of file versions.
While a manual system can work for many research projects, they can become difficult to use once your needs become complex or multiple people begin working on the same dataset, as explained in the video below. In these cases you should consider using version control software such as Git. It is the best known and most widely used type of this software. Git is a free and open source distributed version control system designed to handle everything from small to large projects.
By working with file formats that are widely-used, interchangeable and with good long-term preservation qualities, you will improve the impact and reach of your research outputs. Choosing good formats will improve the accessibility of your research and make it easier for yourself and other future researchers to use or reuse with a wide range of computer systems regardless of available software packages.
When performing research it’s often necessary to use specialised and proprietary file formats. This may be for many reasons: your method of data analysis; the hardware used; the software available to you or to meet discipline-specific standards. Regardless of these issues, it’s still important to make a conscious and informed decision on choosing file formats.
At later stages of your research, such as when publishing traditional research outputs or making your data publicly available, you should consider transferring your data to a file format that can be utilised by people who may not have access to the exact suite of software you have. The UK Data Service Recommended File Formats table can help you use a file format best suited to long term accessibility.