Organising and Designing Quantitative Data
Increasingly, these developments mean that the tools historians need to collect, manage and analyse quantitative data are separable from the data itself. Their data is more portable, and therefore both easier to share and to preserve in the longer term. A dataset shared under an open license may be converted into different formats, re-used, enhanced and re-published for different purposes. It is also easier for historians to design and build data tools of their own. This requires more advanced computer skills - for example, learning MySQL and use of the command line - but it enables them to build custom tools that meet their source-based research needs - and ultimately to share not simply their data but also their tools with other historians.