Overall, Mimas aims to increase expertise gained in dealing with Linked Data, fully engage with other initiatives in this area and to make data from production services available. Within this project being proposed, two Mimas services are involved:
Aim: Publishing aggregate Statistical data as Linked Data.
The publishing statistical data working group was establishing following a collaborative workshop hosted by the ONS in February 2010. It has drafted a model that allows SDMX, the established standard for aggregate statistical data and metadata, to be mapped to RDF. We propose applying this model to the World Bank World Development Indicators (WDI), a popular dataset which has recently been made openly available, enabling it to be exposed as Linked Data.
Applying the SDMX-RDF Model in Practice
The WDI are an authoritative and comprehensive time series dataset, which, whilst relatively compact in size, is very popular with ESDS users. It is comprised of over 700 development indicators, including social, economic, financial, natural resources, and environmental indicators. Data run from 1960 onwards, and cover most countries in the world. Having recently been made openly available, published in SDMX, and simple in structure, the WDI is an ideal case for us to test the SDMX-RDF model in practice.
Contributing to the Linked Open Data Cloud
Whilst some aggregate statistical resources are already available as Linked Data (e.g. Eurostat), there is a gap in the area of international development statistics, the World Bank is the foremost authority on this type of data, exposing the WDI as Linked Data will fill this gap.
Demonstrating the Value of Open Data
By demonstrating what can be done with open statistical data resources the project could provide momentum to the open data movement, in particular to the calls for other IGOs, such as the IMF and OECD, to open access to their highly valuable data stores. This has particular benefits to researchers outside the UK (including those in the developing world) who don’t have access to data though services such as ESDS.
Aim : Create awareness and understanding of Linked Data within the Landmap service and the wider benefits Linked Spatial Metadata will have for the service.
– Create capacity and up skilling of staff within Landmap on Linked Data.
– ‘Get our feet wet’ with creating Linked Spatial Metadata for a subset of Landmap datasets.
– Have an understanding of future resource requirements for developing Linked Spatial Metadata within Landmap.