Guidelines for the responsible application of data analytics

ACM Agrawal Anderson, 2008 ASA Bollier Bostrom, 2014 Boyd Broeders, 2017, Big data and security policies: towards a framework for regulating the phases of analytics and use of big data, Comput Law Secur Rev, 33, 309, 10.1016/j.clsr.2017.03.002 Burrell, 2016, How the machine ‘thinks’: understanding opacity in machine learning algorithms, Big Data Soc, 3, 1, 10.1177/2053951715622512 Cai, 2015, The challenges of data quality and data quality assessment in the big data era, Data Sci J, 14, 1 Cao Clarke, 1991, A contingency approach to the software generations, Database, 22, 23 Clarke, 1994, Dataveillance by governments: the technique of computer matching, Inf Tech People, 7, 46, 10.1108/09593849410074070 Clarke, 2009, Privacy impact assessment: its origins and development, Comput Law Secur Rev, 25, 123, 10.1016/j.clsr.2009.02.002 Clarke, 2011, An evaluation of privacy impact assessment guidance documents, Int Data Priv Law, 1, 111, 10.1093/idpl/ipr002 Clarke, 2016, Big data, big risks, Inf Syst J, 26, 77, 10.1111/isj.12088 Clarke Clarke Clarke, 2017, Big data prophylactics, 3 CoE DoFD Domingos, 2012, A few useful things to know about machine learning, Commun ACM, 55, 78, 10.1145/2347736.2347755 Dreyfus, 1992 DSA GAO Gupta, 2015, Business intelligence and big data in higher education: status of a multi-year model curriculum development effort for business school undergraduates, MS graduates, and MBAs, Commun Assoc Inf Syst, 36 Hanson Haryadi Hazen, 2014, Data quality for data science, predictive analytics, and big data in supply chain management: an introduction to the problem and suggestions for research and applications, Int J Prod Econ, 154, 72, 10.1016/j.ijpe.2014.04.018 Huh, 1990, Data quality, Inf Softw Tech, 32, 559, 10.1016/0950-5849(90)90146-I ICO Jagadish, 2015, Big data and science: myths and reality, Big Data Res, 2, 49, 10.1016/j.bdr.2015.01.005 Jagadish, 2014, Big data and its technical challenges, Commun ACM, 57, 86, 10.1145/2611567 Kandel Katz King, 2016, Data analytics and consumer profiling: finding appropriate privacy principles for discovered data, Comput Law Secur Rev, 32, 696, 10.1016/j.clsr.2016.05.002 Knight Kurzweil, 2005 Lazer, 2014, The parable of Google flu: traps in big data analysis, Science, 343, 1203, 10.1126/science.1248506 Lipton Mayer-Schonberger, 2013 McFarland, 2015, Big data and the danger of being precisely inaccurate, Big Data Soc, 2, 1, 10.1177/2053951715602495 Merino, 2016, A data quality in use model for big data, Fut Gen Comput Syst, 63, 123, 10.1016/j.future.2015.11.024 Metcalf, 2016, Where are human subjects in big data research? The emerging ethics divide, Big Data Soc, 3, 1, 10.1177/2053951716650211 Mittelstadt, 2016, The ethics of algorithms: mapping the debate, Big Data Soc, 3, 1, 10.1177/2053951716679679 Moravec, 2000 Müller Müller, 2016, Utilizing big data analytics for information systems research: challenges, promises and guidelines, Eur J Inf Syst, 25, 289, 10.1057/ejis.2016.2 NIST OAIC Piprani, 2008, 750 Press Raab, 2016, Inadequacies in the UK's data science ethical framework, Euro Data Protect L, 2, 555, 10.21552/EDPL/2016/4/13 Raab, 2012, 363 Rahm, 2000, Data cleaning: problems and current approaches, IEEE Data Eng Bull, 23 Rivers, 2014, Ethical research standards in a world of big data, F1000Res, 3, 38, 10.12688/f1000research.3-38.v2 Rosebrock Saha Schoenherr, 2015, Data science, predictive analytics, and big data in supply chain management: current state and future potential, J Bus Logist, 36, 120, 10.1111/jbl.12082 Shanks, 1998, Understanding data quality in a data warehouse, Aust Comput J, 30, 122 Swoyer UKCO UNSD Wang, 1996, Beyond accuracy: what data quality means to data consumers, J Manag Inf Syst, 12, 5, 10.1080/07421222.1996.11518099 Wigan, 2013, Big data's big unintended consequences, IEEE Comput, 46, 46, 10.1109/MC.2013.195 WP29 2012 Wright, 2013, Integrating privacy and ethical impact assessments, Sci Public Policy, 40, 755, 10.1093/scipol/sct083 Zook, 2017, Ten simple rules for responsible big data research, PLoS Comput Biol, 13, 10.1371/journal.pcbi.1005399