Strengths

Good knowledge of data source aggregation and normalisation
Agile rapid prototype development and evaluation
Links to IEMSR, FixRep, Aggregator: internal resources – strong support network

Weaknesses
Staff time is limited
Various programming languages in use

Opportunities
Lots of interest in auto-extraction of community networks data
University of Minho now have funding to take work forward
University of Leiden interest in specific technical tagging
Learning from NAMES and enhancing other existing services like NAMES
FixRep stuff: data provenance, evaluation, quality assurance
Establishment of user community

Threats
Reliance on external services/data
Quality of source data and availability of source data is variable
User community not firmly established