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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

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


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.


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


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 J (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.

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