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Number of items: 11.


Martin, Chris; Upham, Paul and Budd, Leslie (2015). Commercial orientation and grassroots social innovation: insight from the sharing economy. Ecological Economics, 118 pp. 240–251. file

Martin, Chris J. and Upham, Paul (2015). Grassroots social innovation and the mobilisation of values in collaborative consumption: a conceptual model. Journal of Cleaner Production, 134(Part A) pp. 204–213. file

Martin, Chris (2014). Barriers to the Open Government Data agenda: taking a multi-level perspective. Policy & Internet, 6(3) pp. 217–240.

Martin, Chris J.; Taylor, Peter G.; Upham, Paul; Ghiasi, Golnoush; Bale, Catherine S. E.; James, Hannah; Owen, Alice; Gale, William F.; Slack, Rebecca J. and Helmer, Simon (2014). Energy in low carbon cities and social learning: a process for defining priority research questions with UK stakeholders. Sustainable Cities and Society, 10 pp. 149–160.

Mohd Zaki, Zulkifly; Dew, Peter M.; Lau, Lydia M. S.; Rickard, Andrew R.; Young, Jenny C.; Farooq, Tahir; Pilling, Michael J. and Martin, Chris J. (2013). Architecture design of a user-orientated electronic laboratory notebook: a case study within an atmospheric chemistry community. Future Generation Computer Systems, 29(8) pp. 2182–2196.

Martin, Chris J.; Haji, Mohammed H.; Jimack, Peter K.; Pilling, Michael J. and Dew, Peter M. (2009). A user-orientated approach to provenance capture and representation for in silico experiments, explored within the atmospheric chemistry community. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1898) pp. 2753–2770.

Martin, Chris J.; Haji, Mohammed H.; Dew, Peter M.; Pilling, Michael J. and Jimack, Peter K. (2009). Semantically enhanced provenance capture for chamber model development with a master chemical mechanism. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1890) pp. 987–990.

Martin, Chris (2009). Chemical models for, and the role of data and provenance in, an atmospheric chemistry community. PhD thesis. University of Leeds.

Martin, Chris; Haji, Mohammed H.; Dew, Peter; Pilling, Mike and Jimack, Peter (2008). Semantically-enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the atmospheric chemistry community. In: Provenance and Annotation of Data and Processes, Lecture Notes in Computer Science, Springer, pp. 293–308.


Roelich, Katy; Knoeri, Christof; Steinberger, Julia K. and Martin, Chris (2015). Towards resource-efficient and service-oriented integrated infrastructure operation. Technological Forecasting and Social Change, 92 pp. 40–52. filefile


Taylor, Peter; Bolton, Ronan; Stone, Dave; Zhang, Xiao-Ping; Martin, Chris and Upham, Paul (2012). Pathways for Energy Storage in the UK. Centre for Low Carbon Futures, York. file

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