May 172011

GECO is a JISC-funded (and STEEV’s parent!) project which aims to foster a community(ies) of users of geospatial resources (data, services, support) by:
• fostering self-help within identifiable communities of interest that emerge form the recent JISC geospatial funding call;
• increasing the use of geospatial tools, infrastructure (data and services) and information for the wider benefit of the teaching, learning and research communities;
• collating exemplars of use and to establish a trajectory for the future embedding of geospatial resources within research, teaching and learning landscapes;
• identifying and promoting best practice (such as standards, interoperability, machine interfaces) and to provide a means for knowledge transfer from specialist to less spatially literate users and domains;
• assisting with the maturation of the UK academic Spatial Data Infrastructure (SDI) and ensure that location (space/geography) is championed across sectoral domains.
• raising awareness of INSPIRE, ensuring that the sector is cognisant of the obligations and opportunities that this gives rise to.
• promoting good data management principles, including data curation and stewardship ensuring transparency and reuse where practicable.

For further information including details of the JISC-funded geospatial projects under the oversight of GECO at EDINA [] download the GECO publicity leaflet

May 052011

In response to the ‘Climategate‘ controversy (direct or otherwise) where a server that constructs various global temperature and precipitation analyses was breached at the University of East Anglia’s Climatic Research Unit, the Berkeley Earth Surface Temperature project aims to resolve current criticism of former temperature analyses, and to prepare an open record that will allow rapid response to further criticism or suggestions. Their results will include not only best estimate for the global temperature change, but estimates of the uncertainties in the record.

The objectives of the project are:

1. To merge existing surface station temperature data sets into a new comprehensive raw data set with a common format that could be used for weather and climate research
2. To review existing temperature processing algorithms for averaging, homogenization, and error analysis to understand both their advantages and their limitations
3. To develop new approaches and alternative statistical methods that may be able to effectively remove some of the limitations present in existing algorithms
4. To create and publish a new global surface temperature record and associated uncertainty analysis
5. To provide an open platform for further analysis by publishing our complete data and software code as well as tools to aid both professional and amateur exploration of the data

For further information visit:

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