Kohli, S, Senthil Kumar, AV, Easton, J & Roberts, C (eds) 2017, Innovative Applications of Big Data in the Railway Industry. IGI Global. https://doi.org/10.4018/978-1-5225-3176-0
Fu, Q & Easton, J 2018, 'Prediction of weather-related incidents on the rail network: prototype data model for wind-related delays in Great Britain', ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, vol. 4, no. 3, 04018027. https://doi.org/10.1061/AJRUA6.0000975
Schober, D, Jacob, D, Wilson, M, Cruz, JA, Marcu, A, Grant, JR, Moing, A, Deborde, C, De Figueiredo, LF, Haug, K, Rocca-Serra, P, Easton, J, Ebbels, TMD, Hao, J, Ludwig, C, Günther, UL, Rosato, A, Klein, MS, Lewis, IA, Luchinat, C, Jones, AR, Grauslys, A, Larralde, M, Yokochi, M, Kobayashi, N, Porzel, A, Griffin, JL, Viant, MR, Wishart, DS, Steinbeck, C, Salek, RM & Neumann, S 2018, 'nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data', Analytical Chemistry, vol. 90, no. 1, pp. 649-656. https://doi.org/10.1021/acs.analchem.7b02795
Easton, J & Kohli, S 2017, 'Challenges and opportunities for big data in the digital railway' Rail Technology Magazine, pp. 38. <http://www.railtechnologymagazine.com/Comment/challenges-and-opportunities-for-big-data-in-the-digital-railway>
Tutcher, J, Easton, J & Roberts, C 2017, 'Enabling Data Integration in the Rail Industry Using RDF and OWL - the RaCoOn Ontology', ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, vol. 3, no. 2. https://doi.org/10.1061/AJRUA6.0000859
Wunsch, S, Lehnert, M, Krimmling, J & Easton, J 2016, 'Datenformate, Datenmodelle und Datenkonzepte für den Eisenbahnbetrieb' Der Eisenbahningenieur, vol. 11, pp. 8-14. <http://www.eurailpress.de/archiv/fachartikelarchiv/ergebnisliste/artikelansicht.html?tx_it24archiv_list%5Barticle%5D=12880&tx_it24archiv_list%5Baction%5D=show&tx_it24archiv_list%5Bcontroller%5D=Article&cHash=65a4f8203aca6811728b903153e3ce1a>
Easton, J 2017, Blockchains: A Distributed Data Ledger for the Rail Industry. in S Kohli, AV Senthil Kumar, J Easton & C Roberts (eds), Innovative Applications of Big Data in the Railway Industry. IGI Global, pp. 27-39. https://doi.org/10.4018/978-1-5225-3176-0.ch002
Preece, J & Easton, J 2020, Blockchain technology as a mechanism for digital railway ticketing. in 2019 IEEE International Conference on Big Data (Big Data). IEEE Xplore, pp. 3599-3606, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, United States, 9/12/19. https://doi.org/10.1109/BigData47090.2019.9006293
Jaroszweski, D, Fu, Q & Easton, J 2019, A data model for heat-related rail buckling: implications for operations, maintenance and long-term adaptation. in Proceedings of the 12th World Congress on Railway Research. World Congress on Railway Research, Tokyo, Japan, 28/10/19.
Preece, J & Easton, J 2019, Towards encrypting industrial data on public distributed networks. in 2018 IEEE International Conference on Big Data (Big Data)., 8622246, IEEE Press / Wiley, pp. 4540-4544, 2018 IEEE International Conference on Big Data (Big Data), Seattle, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622246
Fu, Q, Jaroszweski, D & Easton, J 2018, A prototype model for understanding heat-related rail incidents: a case study on the Anglia area in Great Britain. in Proceedings of the 8th International Conference on Railway Engineering (ICRE 2018). Institution of Engineering and Technology, 8th International Conference on Railway Engineering (ICRE 2018), London, United Kingdom, 16/05/18. https://doi.org/10.1049/cp.2018.0071
Fu, Q & Easton, J 2018, Understanding data quality: ensuring data quality by design in the rail industry. in Proceedings of the 2017 IEEE International Conference on Big Data (BIGDATA). IEEE Xplore, pp. 3792-3799, 2017 IEEE International Conference on Big Data, Boston, United States, 11/12/17. https://doi.org/10.1109/BigData.2017.8258380
Morris, C & Easton, J 2018, Use of ontology for data integration in a degraded mode signalling system. in G Passerini, J M. Mera, N Tomii & P Tzieropoulos (eds), Computers in Railways XVI. WIT Transactions on The Built Environment, vol. 181, WIT Press, pp. 215-223, 16th International Conference on Railway Engineering Design & Operation (COMPRAIL 2018)
, Lisbon, Portugal, 2/07/18. https://doi.org/10.2495/CR180191
Fu, Q & Easton, J 2018, 'A data model for prediction of weather-related rail incidents: a case-study example of wind-related incidents on the rail network in Great Britain', Paper presented at 50th Annual Conference of the Universities’ Transport Study Group, London, United Kingdom, 3/01/18 - 5/01/18.
Morris, C, Easton, J & Roberts, C 2016, 'From Data to Information: Provision of Railway Data to Passengers in the Information Age', Paper presented at 11th World Congress on Railway Research, Milan, Italy, 29/05/16 - 2/07/16.
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