Thursday, 16 March 2017

Graph Database Tools and Conferences

The wikipedia defintion of a graph databases is "In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store. "

An introductions to graph databases from a Neo4J viewpoint is described.




Conferences

There a a couple of UK based training conferences specifically for Graph databases

GraphConnect a leading conference for Neo4J , 11 May 2017 this year

Connected Data London has no date yet for this year. Last year's presentations for the conference are available free online to view. One talk "Using RDF and graph technologies at NASA" talk by David Meza, Head of Knowledge Management at NASA is shared.

SQL Server vNext

There is graph support in the next version of SQL Server. The private preview page states

SQL Graph adds graph processing capabilities to SQL Server, which will help you link different pieces of connected data to help gather powerful insights and increase operational agility. Graphs are well suited for applications where relationships are important, such as fraud detection, risk management, social networks, recommendation engines, predictive analysis, dependence analysis, IoT suites, etc.
Initially, SQL Server will support CRUD graph operations and multi-hop graph navigation, and the following functionality will be available in the private preview:

  • Create graph objects, that is, nodes to represent entities and edges to represent relationships between any 2 given nodes. Both Nodes and Edges can have properties associated to them.
  • SQL language extensions to support join free, pattern matching queries for multi-hop navigation
Kennie Pontoppipidan wrote a great blog post on where to find out more information.

Tools

There are various other graphing tools I have found useful through my PhD.

Graphviz


I have spent some time using Graphviz an open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics,  software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. It is an easy to use tool for quick graphical representation.







NodeXL Graph

Another tool I have used is  NodeXL Graph. NodeXL Basic is a free, open-source template for Microsoft Excel 2007, 2010, 2013 and 2016 that makes it easy to explore network graphs.  With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window. The tool can create some more complex diagrams and provides a few different options.



Wednesday, 15 March 2017

Thesis References


I thought it might be useful to share some of my PhD reading list. This was the final list included in my thesis. I have read many more articles and books all of which were very interesting and informative. The literature I have read covers information system, systems thinking, management, best practice, complexity theory, chaos theory and database management (architectural, development, BI and administration). 




Abadi, D. et al., 2016. The Beckman Report on Database Research. Communications of the ACM, 59(2).
Abadi, D. et al., 2014. The Beckman Report on Database Research. ACM SIGMOD Record, 43(3), pp.61–70.
Abadi, D.J., 2012. Consistency Tradeoffs in Modern Distributed Database System Design. IEEE Computer Society, 2(February), pp.37–42.
Abiteboul, S. et al., 2005. The Lowell Database Research Self-Assessment. Communications of the ACM, 48(5), pp.111–118.
Ackoff, R.L., 1999. Ackoff’s Best: His Classic Writings on Management, New York: John Wiley & Sons.
Ackoff, R.L., 1981a. Creating the Corporate Future, New York: John Wiley & Sons.
Ackoff, R.L., 1981b. The Art and Science of Mess Management. Interfaces, 11(1), pp.20–26. Available at: http://www.jstor.org/stable/25060027.
Agrawal et al., 2009. The Claremont Report on Database Research. Communications of the ACM, 52(6), pp.56–65.
Agrawal, D. et al., 2009. Database Management as a Service: Challenges and Opportunities. 2009 IEEE 25th International Conference on Data Engineering, pp.1709–1716. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4812596 [Accessed November 18, 2010].
Aiken, P. et al., 2011. Data Management and Data Administration: Assessing 25 Years of Practice. Journal of Database Management, 22(3), pp.24–45.
Aiken, P., 2016. Experience : Succeeding at Data Management — BigCo Attempts to Leverage Data. ACM Journal of Data and Information Quality, 7(1–2), pp.1–35.
Aiken, P. et al., 2007. Measuring Data Management Practice Maturity : A Community’s Self-Assessment. IEEE Computer Society, 40(4), pp.42–50. Available at: http://www.irmac.ca/0708/Measuring Data Management Practice Maturity.pdf.
Ailamaki, A., Kantere, V. & Dash, D., 2010. Managing Scientific Data. Communications of the ACM, 53(6), p.68.
Alzain, M.A. & Pardede, E., 2011. Using Multi Shares for Ensuring Privacy in Database-as-a-Service. Architecture, pp.1–9.
Ambler, S.W., 2003. Agile Database techniques: Effective strategies for the agile software developer, Indianapolis: Wiley Publishing.
Ambler, S.W., 2007. Data Architecture and Beyond : Strategies for Improving Your Data Ecosphere Access to the Experts. October, 10(10).
American Productivity and Quality Centre, 1999. What is benchmarking. Available at: www.Apqc.org.
Anderson, R. et al., 2009. Database State,
Anon, 2010. Data, Data everywhere. The Economist, 394(8671), pp.3–5.
Anon, 2014. Oxford Dictionaries. Oxford University Press. Available at: http://www.oxforddictionaries.com/.
Argyris, C. & Schön, D., 1978. Organizational Learning, Reading: Addison-Wesley.
Armbrust, M. et al., 2009. Above the clouds: A Berkeley view of cloud computing. University of California, Berkeley, Tech. Rep. UCB, pp.1–23. Available at: http://scholar.google.com/scholar?q=intitle:Above+the+clouds:+A+Berkeley+view+of+cloud+computing#0.
Armour, M., 2015. Talking about a (business continuity) revolution: Why best practices are wrong and possible solutions for getting them right. Journal of Business Continuity & Emergency Planning, 9(2), pp.103–111. Available at: http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=112058400&site=ehost-live.
Armour, P.G., 2015. The chaos machine. Communications of the ACM, 59(1), pp.36–38. Available at: http://dl.acm.org/citation.cfm?doid=2859829.2846086.
Artus, H.M., 2008. In Quest of Sustainable Information Databases , Database Analysis , and Database Research - Exploration of a Research Field. In Sociology The Journal Of The British Sociological Association. pp. 159–172. Available at: http://www.eurocris.org/Uploads/Web pages/cris2008/Papers/cris2008_Artus.pdf.
Aslett, M., 2015. The State of Database as a Service. 451 Group. Available at: http://resources.tesora.com/hubfs/Tesora-ebook-State-of-DBaaS-451Group.pdf.
Auerbach, C.E. & Silverstein, L.B., 2003. Qualitative data:An Introduction to coding and Analysis, New York: New York University Press.
Avgerou, C., 2011. Discources on innovation and development in information systems in developing countried research. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, p. 650.
Avgerou, C. & Land, F., 1992. Examining the appropriateness of information technology. In S. Odedra & M. Bhatnagar, eds. Social Implications of computers in developing countries. New Delhi: Tata McGraw-Hill, pp. 26–42.
Bachman, C.W., 1973. The programmer as navigator. Communications of the ACM, 16(11), pp.653–658. Available at: http://portal.acm.org/citation.cfm?doid=355611.362534.
Ballew, R.M. et al., 1998. A Physical Map of 30,000 Human Genes. Science, 282(5389), pp.744–746. Available at: http://74.220.219.81/~mrflipco/teach/writing/GeomProj/images/PhysicalMapOf30000HumanGenes.pdf.
Barnes, J., 2015. Microsoft Azure Essentials: Azure Machine Learning, Redmond: Microsoft Press. Available at: https://mva.microsoft.com/ebooks#9780735698178.
Basalla, G., 1988. The Evolution of Technology Reprint., Cambridge: Cambridge University Press.
Batini, C., Lenzerini, M. & Navathe, S.B., 1986. A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys, 18(4).
BBC News, 2014. Barclays customer data “stolen & sold” newspaper says. BBC News. Available at: http://www.bbc.co.uk/news/uk-26106138.
BBC News, 2007. Brown apologises for records loss. BBC News. Available at: http://news.bbc.co.uk/1/hi/7104945.stm.
Beacham, J., 2006. Succeeding through innovation: 60 minute guide to innovation turning, London.
Beck, K. et al., 2001. Principles behind the agile manifesto. Available at: http://agilemanifesto.org/principles.html.
Becker, M.C., 2004. Organizational routines: a review of the literature. Industrial and Corporate Change, 13(4), pp.643–678. Available at: http://icc.oupjournals.org/cgi/doi/10.1093/icc/dth026 [Accessed July 9, 2014].
Bekhet, A.K. & Zauszniewski, A., 2012. Methodological triangulation: an approach to understanding data. Nurse Researcher, 20(2), pp.40–43.
Bell, G., Hey, T. & Szalay, A., 2009. Beyond the Data Deluge. Science, 323(March), pp.1297–1298. Available at: sciencemag.org.
Bell, S., Collins, K. & Lane, A., 2012. Guide to Diagrams. The Open University Open Learn. Available at: http://systems.open.ac.uk/materials/T552/.
Bergin, T.J. & Haigh, T., 2009. The Commercialization of Database Management Systems , 1969 – 1983. Ieee Annals Of The History Of Computing, pp.1969–1983.

 Berman, F., 2008. Got Data? A Guide to Data Preservation in the Information Age: a guide to data preservation in the information age. Communications of the ACM, 51, pp.50–56. Available at: http://cacm.acm.org/magazines/2008/12/3360-got-data-a-guide-to-data-preservation-in-the-information-age/abstract.
Bernstein, P. et al., 1998. The Asilomar Report on Database Research. ACM SIGMOD Record, 27(4), pp.74–80.
Bernstein, P.A. et al., 1989. Future Directions in DBMS Research - The Laguna Beach Participants. ACM SIGMOD Record, 18(1), pp.17–26.
Berriman, G.B. & Groom, S.L., 2011. How Will Astronomy Archives Survive The Data Tsunami? Communications of the ACM, 54(12), pp.52–56.
Von Bertalanffy, L., 1969. General Systems Theory: Foundations, Development, Applications, New York: George Braziller.
Bertino, E. & Sandhu, R., 2005. Database security - concepts, approaches, and challenges. IEEE Transactions on Dependable and Secure Computing, 2(1), pp.2–19. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1416861.
Bhagwan, R. et al., 2005. Time-varying Management of Data Storage. Proceedings of the First conference on Hot topcs in system dependability HotDep’05.
Blackburn, S., 2001. Ethics a very short introduction, Oxford: Oxford University Press.

Blasis, J.-P. De, 1977. Database Administration as a Team Function: An Analysis from Survey Data. In Proceeding SIGCPR ’77 Proceedings of the fifteenth annual SIGCPR conference ACM. pp. 227–240.
Bolton, C. et al., 2010. Professional SQL Server 2008 Internals and Troubleshooting, Indianapolis: Wiley Publishing.
De Bono, E., 1990. I am right you are wrong, London: Penguin Books.
Bradley, N., 1999. Sampling for Internet Surveys. An examination of respondent selection for Internet research. Journal of the Market Research Society, 41(4), pp.387–395. Available at: http://www.wmin.ac.uk/marketingresearch/Marketing/sam06.html.
Braun, V. & Clarke, V., 2012. APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. In H. Cooper et al., eds. APA handbook of research methods in psychology. Washington: American Psychological Association. Available at: http://content.apa.org/books/13620-000 [Accessed July 31, 2014].
Braun, V. & Clarke, V., 2013. Successful Qualitative Research: a practical guide for beginners First., London: SAGE Publications Ltd.
Braun, V. & Clarke, V., 2006. Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), pp.77–101. Available at: http://www.tandfonline.com/doi/abs/10.1191/1478088706qp063oa.
Bretschneider, S., 2004. “Best Practices” Research: A Methodological Guide for the Perplexed. Journal of Public Administration Research and Theory, 15(2), pp.307–323. Available at: http://jpart.oupjournals.org/cgi/doi/10.1093/jopart/mui017 [Accessed July 31, 2014].
Brooks, F.P.J., 1986. No silver bullet-essence and accidents of software engineering. Proceedings of the IFIP Tenth World Computing Conference, pp.1069–1076. Available at: http://www.cgl.ucsf.edu/Outreach/pc204/NoSilverBullet.
Buckingham, A. & Saunders, P., 2009. The Survey Methods Workbook Reprint., Cambridge: Polity Press Ltd.
Callahan, R.H. & Ishmael, G.S., 2005. What Drives Innovation? A heuristic framework for corporate innovation, Available at: http://www.decisionanalyst.com/Downloads/WhatDrivesInnovation.pdf.
Cameron, R., 2009. A sequential mixed model research design : design , analytical and display issues research design : Design. International Journal, 3(2), pp.140–152.
Cannon, D. et al., 2007. Service Operation, London: TSO (The Stationary Office).
Capra, F., 1997. The Web of Life, London: Harper Collins Publishers.
Capra, F. & Luisi, P.L., 2014. The Systems View of Life, Cambridge: Cambridge University Press.
Carpenter, C. & Suto, M., 2008. Qualitative research for occupational and physical therapists: A practical guide, Oxford: Blackwell.
Cartlidge, A. et al., 2007. An Introductory Overview of ITIL V3, Available at: http://itsmfi.org/files/itSMF_ITILV3_Intro_Overview.pdf.
Charmaz, K., 2006. Constructing Grounded Theory, London: SAGE Publications Ltd.
Checkland, P., 1983. O. R. and the Systems Movement: Mappings and Conflicts. The Journal of the Operational Research Society, 34(8), pp.661–675. Available at: http://www.jstor.org/stable/2581700.
Checkland, P.B., 1999. Systems thinking, systems practice Reprint 19., Chichester: John Wiley & Sons.
Checkland, P.B., 2011. Systems thinking and soft systems methodology. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, p. 94.
Checkland, P.B. & Holwell, S.E., 1998. Information, systems and information systems – making sense of the field, Chichester: John Wiley & Sons.
Checkland, P.B. & Scholes, J., 1999. Soft Systems Methodology in Action includes a 30-year retrospective, Chichester: John Wiley & Sons.
Chen, Y., 2005. Information valuation for Information Lifecycle Management. Proceedings of the Second International Conference on Autonomic Computing (ICAC’05).
Child, J., 1983. Organization: A guide to problems and practice, London: Harper & Row.
Choy, M., Leong, H.V. & Wong, M.H., 2000. Disaster Recovery Techniques for Database Systems. Communications of the ACM, pp.272–280.
Christensen, C.M., 1997. The innovator’s Dilemma When New Technologies cause great firms to fail, Watertown: Harvard Business School Press.
Clarke, V. & Braun, V., 2013. Teaching thematic analysis. Psychologist, 26(2), pp.120–124.
Codd, E.F., 1985. Is your DBMS really relational ? ComputerWorld, (14 October).
Codd, E.F., 1971. Normalized Data Base Structure: A Brief Tutorial,
Connolly, T.M. & Begg, C.E., 1995. Database Systems: A practical approach to Design, Implementation. And management, Harlow: Addison-Wesley.
Cooper, J. & James, A., 2009. Challenges for Database Management in the Internet of Things. Iete Technical Review, 26(5).
Creswell, J.W., 2009. Research Design, Qualitative, Quantitative and Mixed Methods approaches, Thousand Oaks: Sage.
Creswell, J.W. & Plano Clark, V.L., 2011a. Choosing a mixed methods design. In Designing and Conducting Mixed Methods Research. Thousand Oaks: SAGE Publications Ltd, pp. 53–106.
Creswell, J.W. & Plano Clark, V.L., 2011b. Designing and Conducting Mixed Methods Research, Thousand Oaks: Sage.
Cuddeford-Jones, M., 2013. Predicting the Future. Marketing Week (01419285), pp.31–33.

Dani, S. et al., 2006. A methodology for best practice knowledge management. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(10), pp.1717–1728. Available at: http://pib.sagepub.com/lookup/doi/10.1243/09544054JEM651 [Accessed July 31, 2014].
Date, C.J., 1981. An Introduction to Database Systems, Boston: Addison Wesley Longman Limited.
Davenport, T., 2014. Big Data @ Work, Massachusetts: Harvard Business School Publishing.
Davenport, T.H., 1997. Information Ecology Mastering the information and knowledge environment: Why technology is not enough for success in the information age, New York: Oxford University Press.
Dembowski, F.L., 2013. The Roles of Benchmarking , Best Practices & Innovation in Organizational Effectiveness. International Journal of Organizational Innovation, 5(3), pp.6–20.
Denning, P.J., 2014. Avalanches are coming. Communications of the ACM, 57(6), pp.34–36. Available at: http://dl.acm.org/citation.cfm?doid=2602695.2602324 [Accessed June 16, 2014].
Denning, P.J., 2002. The Invisible Future: the seamless integration of technology into everyday life P. J. Denning, ed., New York: McGraw-Hill.
Denscombe, M., 2008. The good research guide: for small-scale social research projects 3rd ed., Maidenhead: Open University Press.
Denzin, N.K., 1978. The Research Act: A theoretical introduction to sociological methods. Second., New York: McGraw-Hill.
Deutsch, K.W., 1970. The Impact of Complex Data Bases on the Social Sciences R. L. Bisco, ed., New York: Wiley - Interscience.
Dilla, W., Janvrin, D.J. & Raschke, R., 2010. Interactive Data Visualization: New Directions for Accounting Information Systems Research. Journal of Information Systems, 24(2), p.1. Available at: http://link.aip.org/link/JINFE3/v24/i2/p1/s1&Agg=doi [Accessed March 27, 2011].
Dodgson, M., Gann, D.M. & Salter, A., 2008. The Management of Technological Innovation: Strategy and Practice: The Strategy and Practice, Oxford: Oxford University Press.
Don, W. & Priess, P., 2008. The Role of an Architect. The Architecture Journal, (15), pp.1–32. Available at: http://msdn.microsoft.com/en-us/architecture/cc505966.
Drucker, P.F., 1998. The Discipline of Innovation. Harvard Business Review, December, pp.3–8.
Drucker, P.F., 2007. The Essential Drucker, Oxford: Butterworth-Heinemann.
Drummond, H., 2014. Escalation of Commitment: When to Stay the Course. Academy of Management Perspectives, 28(4), pp.430–446.
Drummond, H., 2002. Living in a fool’s paradise: the collapse of Barings’ Bank. Management Decision, 40, pp.232–238.
Eliot & Associates, 2005. Guidelines for Conducting a Focus Group. , pp.1–13. Available at: http://assessment.aas.duke.edu/documents/How_to_Conduct_a_Focus_Group.pdf.
Emery, F.E. & Trist, E.L., 1965. The Causal Texture of Organizational Environments. Human Relations, 18, pp.21–32.
Erica Wagner & Newell, S., 2011. Changing the story surrounding enterprise systems to improve our understanding of what makes erp work in organizations. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, p. 401.
Falconer, J., 2010. “Best Practice” as Worst Practice : Broken Metaphor , Nude Emperor. Proceedings of the European Conference on Intellectual Capital, pp.754–762.
Falconer, J., 2011. Knowledge as Cheating : A Metaphorical Analysis of the Concept of “Best Practice.” Systems Research and Behavioral Science, 180, pp.170–181.
Fowler, K., 2008. SQL Server Forensic Analysis, Boston: Pearson Education.
Fowler, M., 2005. The new methodology. Available at: http://www.martinfowler.com/articles/newMethodology.html.
Franklin, R., Watson, J. & Crick, F., 2005. Towards 2020 Science, Available at: http://research.microsoft.com/en-us/um/cambridge/projects/towards2020science/downloads.htm.
Gantz, J., Mcarthur, J. & Minton, S., 2007. The Expanding Digital Universe, Available at: http://www.tobb.org.tr/BilgiHizmetleri/Documents/Raporlar/Expanding_Digital_Universe_IDC_WhitePaper_022507.pdf.
Gantz, J. & Reinsel, D., 2010. The Digital Universe Decade – Are You Ready?, Available at: http://idcdocserv.com/925.
Gantz, J. & Reinsel, D., 2013. THE DIGITAL UNIVERSE IN 2020 : Big Data , Bigger Digital Shadows , and Biggest Growth in the Far East — United States, Available at: https://www.emc.com/collateral/analyst-reports/idc-digital-universe-united-states.pdf.
Gao, H., Barbier, G. & Goolsby, R., 2011. Harnessing the Crowdsourcing Power of Social Media for Disaster Relief. IEEE Intelligent Systems, 26(3), pp.10–14. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5898447.
Gartner Inc., 2013. No Title. Gartner IT Glossary. Available at: http://www.gartner.com/it-glossary.
Gillenson, M.L., 1991. Database Administration at the Crossroads: The Era of End-User-Oriented, Decentralized Data Processing. Journal of Database Administration, 2 (4), pp.1–11. Available at: http://www.irma-international.org/viewtitle/51094/.
Gillenson, M.L., 1982. The State of Practice of Data Administration-1981. Communications of the ACM, 25(10), pp.699–706. Available at: http://portal.acm.org/citation.cfm?doid=358656.358664.
Gillenson, M.L., 1985. Trends in Data Administration. MIS Quarterly, (December), pp.317–326.
Gleick, J., 1998. Chaos: The amazing science of the unpredictable, London: Vintage.
Goguen, J.A., 1999. The ethics of databases, Available at: https://cseweb.ucsd.edu/~goguen/papers/4s/4s.html.
Gonnering, R.S., 2011. The Seductive Allure Of “Best Practices”: Improved Outcome Is A Delicate Dance Between Structure And Process. E-CO, 13(4), pp.94–101.
Gordon, S.R. & Gordon, J.R., 1992. Organizational hurdles to distributed database management systems (DDBMS) adoption. Information & Management, 22, pp.333–345.
Gratton, L. & Ghoshal, S., 2005. Beyond Best Practice. MITSloan Management Review, 46(3).
Gray, J., 2004. The Revolution in Database Architecture. ACM SIGMOD Technical Report: MSR-TR-2004-31.
Greenwood, R.G., 1981. Management by Objectives: As Developed by Peter Drucker, Assisted by Harold Smiddy. Academy of Management Review, 6(2), pp.225–230. Available at: http://www.jstor.org/stable/257878.
Gregory, P. et al., 2015. Agile Challenges in Practice: A Thematic Analysis. In 16th International Conference on Agile Software Development, XP 2015. Helsinki. Available at: http://oro.open.ac.uk/id/eprint/42061.
Guest, G., MacQueen, K.M. & Namey, E.E., 2012. Introduction to applied thematic analysis. In Applied Thematic Analysis. Thousand Oaks: SAGE Publications, Inc, pp. 3–20. Available at: www.sagepub.com/upm-data/44134_1.pdf‎.

Guion, L.A., 2002. Triangulation: Establishing the Validity of Qualitative Studies, Available at: http://www.rayman-bacchus.net/uploads/documents/Triangulation.pdf.
Haas, L.M., 2015. The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, p.661. Available at: http://doi.acm.org/10.1145/2723372.2723373.
Haerder, T. & Reuter, A., 1983. Principles of Transaction-Oriented Database Recovery. ACM Computing Surveys, 15(4), pp.287–317.
Haigh, T., 2006. “ A Veritable Bucket of Facts ” Origins of the Data Base Management System. SIGMOD Record, 35(2), pp.33-49-19–29.
Haigh, T., 2012. Fifty Years of Databases. Available at: http://wp.sigmod.org/?p=688.
Haigh, T., 2009. How Data Got its Base: Information Storage Software in the 1950s and 1960s. IEEE Annals of the History of Computing, 31(4), pp.6–25. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5370776.
Hall, N., 1992. The New Scientist Guide to Chaos N. Hall, ed., London: Penguin Books.
Hammersley, M., 2008. Troubles with triangulation. In Advances in Mixed Methods Research. SAGE Publications Ltd, pp. 22–36.
Handy, C.B., 1989. The Age of Unreason, London: Arrow Books Ltd.
Handy, C.B., 1985. Understanding Organizations, London: Penguin Books.
Hashem, I.A.T. et al., 2015. The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, pp.98–115. Available at: http://dx.doi.org/10.1016/j.is.2014.07.006.
Hatch, M.J., 1997. Organization Theory Modern Symbolic and Postmodern Perspectives, New York: Oxford University Press.
Hayashi, Y., 1992. A structural analysis of database management system technology with some Japanese experience. , 22, pp.347–362.
Heer, J., Bostok, M. & Ogievetsky, V., 2010. A tour through the Visualization zoo. Communications of the ACM, 53(6), pp.59–68.
Hellerstein, J.M., Stonebraker, M. & Hamilton, J., 2007. Architecture of a Database System. Foundations and Trends in Databases, 1(2), pp.141–259. Available at: http://db.cs.berkeley.edu/papers/fntdb07-architecture.pdf.
Henderson, R.M. & Clark, K.B., 1990. Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms. Administrative Science Quarterly, 35(1), p.9. Available at: http://www.jstor.org/stable/2393549?origin=crossref.
Hensley, Z., Sanyal, J. & New, J., 2014. Provenance in sensor data management. Communications of the ACM, 57(2), pp.55–62. Available at: http://dl.acm.org/citation.cfm?doid=2556647.2556657.

Hey, T., Tansley, S. & Tolle, K., 2009. The Fourth Paradigm: Data Intensive Scientific Discovery K. T. Tony Hey, Stewart Tansley, ed., Redmond Washington: Microsoft Research. Available at: http://research.microsoft.com/en-us/collaboration/fourthparadigm/4th_paradigm_book_complete_lr.pdf.
Hirschheim, R.A. & Klein, H.K., 2011. Tracing the history of the information systems field. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, pp. 20–42.
Holwell, S. & Reynolds, M., 2010. Introducing systems approaches. In Systems Approaches to Managing Change: A Practical Guide. London: Springer, pp. 1–23. Available at: http://oro.open.ac.uk/21298/1/systems-approaches_ch1.pdfI.
Holze, M. & Ritter, N., 2011. System models for goal-driven self-management in autonomic databases. Data and Knowledge Engineering, 70(8), pp.685–701. Available at: http://dx.doi.org/10.1016/j.datak.2011.03.001.
Huber, G.P.., 1990. A Theory of the Effects of Advanced Information Technologies on Organizational Design , Intelligence , and Decision Making. The Academy of Management Review, 15(1), pp.47–71. Available at: http://www.jstor.org/stable/258105.
Hull, S., 2013. 20 Obstacles to Scalability. Communications of the ACM, 56(9), pp.54–58. Available at: http://dl.acm.org/ft_gateway.cfm?id=2512489&type=html.

Hussein, A., 2009. The use of triangulation in social sciences research: can qualitative and quantitative methods be combined? Journal of Comparative Social Work, 1, pp.1–12.
IBM, 2016. The 2016 State of DBaaS Report: How managed services are transforming, Available at: http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=CDM12345USEN.
IBM Corporation, 2014. DevOps: The IBM approach. , pp.1–12. Available at: https://www.ibm.com/developerworks/.../DevOps_TheIBMapproach.pdf.
Igo, L.B. et al., 2006. How Should Middle-School Students with LD Approach Online Note Taking? A Mixed-Methods Study. Learning Disability Quarterly, 29(2), p.89. Available at: http://www.jstor.org/stable/10.2307/30035537?origin=crossref.
Imran, S. & Hyder, I., 2009. Security Issues in Databases. 2009 Second International Conference on Future Information Technology and Management Engineering, pp.541–545. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5381046 [Accessed March 26, 2011].
Ioannidis, Y.E., Saulys, T. & Whitsitt, A.J., 1992. Conceptual Learning in Database Design. , 10(3), pp.265–293.
IT Revolution, 2015. 2015 State of DevOps Report, Available at: https://puppet.com/resources/white-paper/2015-state-of-devops-report.

Ivankova, N. V. & Stick, S.L., 2007. Students’ persistence in a distributed doctoral program in educational leadership in higher education: A mixed methods study. Research in Higher Education, 48(1), pp.93–135.
Jaaron, A. a. M. & Backhouse, C.J., 2014. Service organisations resilience through the application of the vanguard method of systems thinking: a case study approach. International Journal of Production Research, 52(7), pp.2026–2041. Available at: http://www.tandfonline.com/doi/abs/10.1080/00207543.2013.847291.
Jagadish, H. V. et al., 2014. Big data and its Technical Challenges. Communications of the ACM, 57(7), pp.86–94. Available at: http://dl.acm.org/citation.cfm?doid=2622628.2611567.
Jarrar, Y.F. & Zairi, M., 2000. Best practice transfer for future competitiveness: A study of best practices. Total Quality Management, 11(4–6), pp.734–740. Available at: http://www.tandfonline.com/doi/abs/10.1080/09544120050008147.
Jewell, M., 2004. Big-time ID theft symptom of database culture. USA Today. Available at: http://usatoday30.usatoday.com/tech/news/computersecurity/2004-08-10-database-culture_x.htm [Accessed December 14, 2010].
Jick, T.D., 1979. Mixing Qualitative and Quantitative Methods: Triangulation in Action. Administrative Sceince Quarterly, 24(4), pp.602–611. Available at: www.jstor.org/stable/2392366.

Joch, A., 2007. Always Available. Oracle. Available at: http://www.oracle.com/technetwork/issue-archive/2007/07-jan/o17availability-090161.html.
Johnson, N., 2009. Simply Complexity: a clear guide to complexity theory, Oxford: Oneworld Publications.
Jones, C., 2006. The Economics Of Software Maintenance in the Twenty First Century. Available at: http://www.compaid.com/caiinternet/ezine/capersjones-maintenance.pdf.
Juiz, C. & Toomey, M., 2015. To govern IT, or not to govern IT? Communications of the ACM, 58(2), pp.58–64. Available at: http://dl.acm.org/ft_gateway.cfm?id=2656385&type=html.
Kahn, B.K., 1983. Some Realities of Data Administration. Communications of the ACM, 26(10), pp.794–799.
Kahn, B.K. & Garceau, L.R., 1985. A Developmental Model of the Database Administration Function. Journal of Management Information Systems, I(4), pp.87–101.
Kandel, S. et al., 2012. Enterprise data analysis and visualization: An interview study. Visualization and Computer Graphics, IEEE Transactions on, 18(October), pp.2917–2926.
Kanter, R.M., 2006. + Innovation - The Classic Traps. Harvard Business Review, (611), pp.1–14.

Katz, D. and Kahn, R.., 1966. Common Characteristics of Open Systems. In F. E. Emery, ed. Systems Thinking. Harmondsworth: Penguin Books Ltd, pp. 86–104.
Kauffman, S., 1995. At home in the universe: The search for the laws of self-organization and complexity, London: Penguin Books.
Kayworth, T. & Whitten, D., 2010. Effective Information Security Requires a Balance of Social and Technology Factors. MIS Quarterly Executive, 9(3), pp.303–315.
Kellert, S.H., 1993. In the wake of chaos, Chicago: The University of Chicago Press.
Kepner, C. & Tregoe, B., 1981. The New Rational Manager, Princeton: Kepner-Tregoe, Inc.
Kepner, C. & Tregoe, B., 1965. The Rational Manager: A Systematic Approach to Problem Solving and Decision Making Reprint., Princeton: Kepner-Tregoe, Inc.
Khatri, V. & Brown, C. V, 2010. Designing Data Governance. Communications of the ACM, 53(1), pp.148–152.
Kimball, R., 2011. The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics, Boulder Creek, CA. Available at: http://www.montage.co.nz/assets/Brochures/DataWarehouseBigDataAnalyticsKimball.pdf.
King, E., 2015. The Real World of the Database Administrator. , (March). Available at: http://www.dbta.com/DBTA-Downloads/ResearchReports/The-Real-World-of-the-Database-Administrator-5237.aspx.
Knight, B. et al., 2007. Professional SQL Server 2005 Administration, Indianapolis: Wiley Publishing.
Kolb, D.A., 1984. Experimental Learning: Experience as the Source of Learning and Development, Englewood Cliffs: Prentice Hall.
Kolb, D.A., Rubin, I.M. & McLntyre, J.., 1971. Organizational Psychology: an Experimental Approach to Organizational Behaviour Reprint., Englewood Cliffs: Prentice Hall.
Korth, H.F. & Silberschatz, A., 1997. Database Research Faces the Information Explosion. Communications of the ACM, 40(2), pp.139–142.
Kotonya, G. & Sommerville, I., 1998. Requirements Engineering Processes and Techniques Reprint., Chichester: John Wiley & Sons.
Kralj, M., 2008. The Need for an Architectural Body of Knowledge. In W. Don & P. Priess, eds. The Architecture Journal. Microsoft, pp. 17–20. Available at: http://msdn.microsoft.com/en-us/architecture/cc505966.
Krueger, R.A. & Casey, M.A., 2009. Focus Groups A Practical Guide for Applied Research. In Planning the Focus Group Study. SAGE Publications, Inc, pp. 17–34. Available at: www.sagepub.com/upm-data/24055_Chapter2.pdf‎.
Kurtz, C.F. & Snowden, D.J., 2003. The new dynamics of strategy : Sense-making in a complex and complicated world. IBM Systems Journal, 42(3).
Landrum, R., 2009. SQL Server Tacklebox, Cambridge: Simple Talk Publishing.
Lane, A. et al., 2012. Systems Diagramming, Milton Keynes, U.K.: The Open University. Available at: http://www.open.edu/openlearn/ocw/pluginfile.php/75346/mod_oucontent/oucontent_download/epub/8dc29e6e9c724088d2fd81ddf4cad7611704ebef/systems_diagramming.epub.
Lenharth, B.Y.A., Nguyen, D. & Pingali, K., 2016. Parallel Graph Analytics. Communications of the ACM, 59(5).
Lewin, R., 1993. Complexity: Life at the edge of chaos, London: Phoenix.
Lewins, A. & Silver, C., 2014. Qualitative Data Analysis and CAQDAS, London0: SAGE Publications Inc.
Lewis, M.W. & Grimes, A.J., 1999. Theory Building Metatriangulation : Paradigms From Multiple. Academy of management review, 24(4), pp.672–690.
Liamputtong, P., 2011. Focus Group Methodology Principles and Practice First., London: SAGE Publications Ltd.
Liamputtong, P., 2009. Qualitative research methods 3rd Editio., Melbourne: Oxford University Press.
Liu, L. & Huang, Q., 2009. A Framework for Database Auditing. 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, pp.982–986. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5369543 [Accessed March 26, 2011].
Loshin, D., 2009. Master Data Management, Burlington: Morgan Kaufmann Publishers.
Lovelock, J., 2006. The Revenge of Gaia, London: Penguin Books Ltd.
Lund, T., 2012. Combining Qualitative and Quantitative Approaches: Some Arguments for Mixed Methods Research. Scandinavian Journal of Educational Research, 56(2), pp.155–165.
Lungu, I., Velicanu, M. & Botha, I., 2009. Database Systems – Present and Future. Informatica Economica, 13(1), pp.84–100.
Lyon, J.K., 1971. The Role of the Data Base Administrator. Data Base, 3(4), pp.11–12.
Macfarlane, I. & Rudd, C., 2001. ) IT Service Management version 2.1.a, Reading: itSMF Ltd.
Magnabosco, J., 2009. Protecting SQL Server Data, Cambridge: Simple Talk Publishing.
Markus, M.L., 2011. Historical Reflections on the Practice of Information Management and Implications for the field of MIS. In R. D. Galliers & W. L. Currie, eds. The Oxford Handbook of Management Information Systems. Oxford: Oxford University Press, pp. 3–15. Available at: fds.oup.com/www.oup.com/pdf/13/9780199580583_chapter1.pdf.
Maslett, M., 2012. Database Landscape Map. 451 Group. Available at: http://blogs.the451group.com/information_management/2013/02/04/updated-database-lanscape-map-february-2013.
Maughan, A., 2010. Six reasons why the NHS National Program for IT failed. Computer Weekly. Available at: http://www.computerweekly.com/opinion/Six-reasons-why-the-NHS-National-Programme-for-IT-failed [Accessed August 11, 2012].
May, D.B. & Etkina, E., 2002. College physics students’ epistemological self-reflection and its relationship to conceptual learning. American Journal of Physics, 70(12), p.1249.
McBath, F., 2002. SQL Server Backup and Recovery Tools and Techniques, Upper Saddle River: Prentice Hall.
McCririck, I.B. & Goldstein, R.C., 1980. What do data administrators really do? Datamation, 26(8), pp.131–134.
McGehee, B., 2009. Brad’s Sure Guide to SQL Server Maintenance Plans, Cambridge: Simple Talk Publishing.
McGregor, M., 2007. When Best Practice is Just Not Good Enough Why and How You Need to be Better than the Best. BPTrends, (July), pp.1–2.
Mckendrick, J., 2011a. Data Cross-Currents : 2011 Survey on Cross-Platform Database Adminsitration. Unisphere Research, a division of Information Today, Inc, (June), pp.1–25. Available at: http://www.dbta.com/DBTA-Downloads/ResearchReports.
Mckendrick, J., 2016. Database Lifecycle Management Emerges To Address Ever-More Complex Data Sites : 2016 Survey on DLM Strategies. Unisphere Research, a division of Information Today, Inc, (June). Available at: bit.ly/29GJTlK.
Mckendrick, J., 2014a. DBA – Security Superhero: 2014 IOUG Enterprise Data Secuirty Survey. Unisphere Research, a division of Information Today, Inc, (October), pp.1–29. Available at: http://www.dbta.com/DBTA-Downloads/ResearchReports.
Mckendrick, J., 2014b. Efficiency Isn’t Enough: Data Centers Lead the Drive to Innovation. 2014 IOUG IT Resource Strategies Survey. Unisphere Research, a division of Information Today, Inc, (February), pp.1–23. Available at: http://www.dbta.com/DBTA-Downloads/ResearchReports.
Mckendrick, J., 2013. From Database Clouds to Big Data: 2013 IOUG Survey on Database Manageability. Unisphere Research, a division of Information Today, Inc, (October), pp.1–28. Available at: http://www.oracle.com/webapps/dialogue/ns/dlgwelcome.jsp?p_ext=Y&p_dlg_id=13789408&src=7897724&Act=33.
Mckendrick, J., 2011b. Managing the Rapid Rise in Data Growth: 2011 IOUG Survey on Database Manageability. Unisphere Research, a division of Information Today, Inc, (March), pp.1–26. Available at: http://www.oracle.com/us/products/database/ioug-managing-db-growth-355001.pdf.
Mckendrick, J., 2015. The Rapidly Accelerating Cloud-Enabled Enterprise: 2015 IOUG Survey on Database Manageability. , (May). Available at: http://www.oracle.com/us/products/database/2015-ioug-survey-db-manageability-2542988.pdf.
Mckendrick, J., 2014c. The Vanishing Database Administrator: Survey of Data Professionals’ Career Aspirations. Unisphere Research, a division of Information Today, Inc, (September), pp.1–30. Available at: http://www.dbta.com/DBTA-Downloads/ResearchReports.
McNaught, C. & Lam, P., 2010. Using wordle as a supplementary research tool. Qualitative Report, 15(3), pp.630–643. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-77953058705&partnerID=tZOtx3y1.

Mell, P. & Grance, T., 2011a. The NIST definition of cloud computing. NIST Special Publication, 145, p.7. Available at: http://www.mendeley.com/research/the-nist-definition-about-cloud-computing/.
Mell, P. & Grance, T., 2011b. The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology, Available at: http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf.
Moore, D.S., 2010. Long-term data archiving. Analytical and bioanalytical chemistry, 396(1), pp.189–92. Available at: http://www.ncbi.nlm.nih.gov/pubmed/19838825 [Accessed March 27, 2011].
Moreno, J.L., 1953. Who Shall Survive? Foundations of Sociometry, Group Psychotherapy and Sociodrama, Beacon: Beacon House.
Morgan, D.L., 1998. Practical Strategies for Combining Qualitative and Quantitative Methods: Applications to Health Research. Qualitative Health Research, 8(3), pp.362–376.
Morgan, D.L. & Krueger, R.A., 1997. When to Use Focus Groups and Why. , pp.3–19. Available at: http://csde.washington.edu/~scurran/files/readings/590QM/Week 7/Frey & Morgan Articles.pdf.
Morris, C., 2008. Quantitative Approaches in Business Studies Seventh., Harlow: Pearson Education Limited.
Mosley, M. et al., 2009. The DAMA Guide to The Data Management Body of Knowledge (DAMA-DMBOK Guide), Bradley Beach: Technics Publications.

Mourad, M.B. Al & Hussain, M., 2014. The Impact of Cloud Computing on ITIL Service Strategy Processes. International Journal of Computer and Communication Engineering, 3(5), pp.367–371. Available at: http://www.ijcce.org/index.php?m=content&c=index&a=show&catid=43&id=416
Muller, H., 2009. DCC Briefing Paper: Database archiving, Available at: http://www.era.lib.ed.ac.uk/handle/1842/3346.
Mullins, C.S., 2012. Database Administration: The Complete Guide to DBA Practices and Procedures Second., Upper Saddle River, New Jersey: Addison-Wesley.
Mundy, J., Thornthwaite, W. & Kimball, R., 2011. The Microsoft Data Warehouse Toolkit, Indianaplois: John Wiley & Sons.
Namey, E. et al., 2007. Data reduction techniques for large qualitative data sets. In Handbook for team-based qualitative research. pp. 137–163. Available at: http://web.stanford.edu/~thairu/07_184.Guest.1sts.pdf.
National Audit Office, 1998. A Practical Guide to Sampling, Available at: www.nao.org.uk/publications/Samplingguide.pdf.
Nattermann, P.M., 2000. Best practice does not equal best strategy. The McKinsey Quarterly, 2.
Netz, R. & Noel, W., 2007. The Archimedes Codex, London: The Orion Publishing Group Ltd.
O’Brien, J., 1998. Introduction to Information Systems: An Internetworked Enterprise Perspective Second Alt., Boston: Irwin/McGraw-Hill.

O’Donovan, B., 2014. Editorial for Special Issue of SPAR: The Vanguard Method in a Systems Thinking Context. Systemic Practice and Action Research, 27(1), pp.1–20.
Olofson, C., 2015. The Analytic-Transactional Data Platform, Available at: http://sapassets.edgesuite.net/sapcom/docs/2015/04/886d6fe5-1f7c-0010-82c7-eda71af511fa.pdf.
Oracle, 2011. Database as a Service : Reference Architecture – An Overview,
Oringderff, J., 2004. “My Way”: Piloting an Online Focus Group. International Journal of Qualitative Methods, 3(3), pp.1–10. Available at: http://www.ualberta.ca/~iiqm/backissues/3_3/pdf/oringderff.pdf.
Otey, M., 2010. The rise of cloud computing: is it a resurgence of mainframe/thin computing, or is it the future of our business?". Windows IT Pro, May, p.69. Available at: http://find.galegroup.com.libezproxy.open.ac.uk/gtx/infomark.do?&contentSet=IAC-Documents&type=retrieve&tabID=T003&prodId=CDB&docId=A227282593&source=gale&srcprod=CDB&userGroupName=tou&version=1.0.
Oxford University Press, 2016. Oxford Dictionaries. Available at: https://en.oxforddictionaries.com/.
Pantula, S.G., 2011. Statistics: A Key to Innovation in a Data-Centric World! Journal of the American Statistical Association, 106(March), pp.1–5.
Patton, M., 1990a. Purposeful Sampling. In Qualitative Evaluation and Research Methods. Beverly Hills, CA: Sage, pp. 169–186.
Patton, M., 1990b. Qualitative Evaluation and Research Methods, Beverly Hills, CA: Sage.
Patton, M.Q., 1999. Enhancing the quality and credibility of qualitative analysis. Health services research, 34(Patton 1990), pp.1189–1208.
Paulk, M.C. et al., 1993. Capability Maturity Model for Software, Version 1.1. Software, IEEE, 98(February), pp.1–26. Available at: http://www.sei.cmu.edu/library/abstracts/reports/93tr024.cfm.
Pavlou, K.E. & Snodgrass, R.T., 2008. Forensic analysis of database tampering. ACM Transactions on Database Systems, 33(4), pp.1–47. Available at: http://portal.acm.org/citation.cfm?doid=1412331.1412342 [Accessed March 27, 2011].
Peters, T.J. & Waterman, R.H., 1982. In Search of Excellence: Lessons from America’s Best- Run Companies, New York: Harper & Row.
Peterson, M., 2004. Strategic Profile Information Lifecycle Management: A vision for the future,
Pettinger, R., 2000. Mastering Organizational Behaviour, Basingstoke: Palgrave.
Polimeni, J. & Polimeni, R., 2006. Jevons’ Paradox and the myth of technological liberation. Ecological Complexity, 3(4), pp.344–353. Available at: http://linkinghub.elsevier.com/retrieve/pii/S1476945X07000098 [Accessed July 17, 2011].
Pollard, C. & Cater-Steel, A., 2009. Justifications, Strategies, and Critical Success Factors in Successful ITIL Implementations in U.S. and Australian Companies: An Exploratory Study. Information Systems Management, 26, pp.164–175.
Potgieter, B.C., Botha, J. & Lew, C., 2005. Evidence that use of the ITIL Framework is effective. 18th Annual Conference of the National Advisory Committee on Computing Qualifications, Tauranga, pp.160–167.
Potter, S., 2006. Doing Postgraduate Research Second. S. Potter, ed., Milton Keynes, U.K.: Open University in association with SAGE Publications.
Prahalad, C.K., 2010. Best Practices Get You Only So Far. Harvard Business Review, (April), p.32.
Prell, C., 2012. Becoming familiar with social networks. In Social Network Analysis: history, theory & methodology. London: SAGE Publications Ltd, pp. 7–18.
Prigogine, I. & Stengers, I., 1985. Order out of chaos: man’s new dialogue with nature, London: Harper Collins Publishers.
Pugh, D.S., 1990. Organizational Theory selected readings Third Edit. P. D.S., ed., London: Penguin Books.
Quatrani, T., 2000. Visual Modelling with Rational Rose 2000 and UML, Upper Saddle River: Addison-Wesley.
Raosoft Inc., 2004. Sample Size Calculator. Available at: http://www.raosoft.com/samplesize.html.
Reiner, D. et al., 2004. Information Lifecycle Management : The EMC Perspective. Group.
Reynolds, D.M. et al., 2014a. Diagramming for development 1 - Bounding realities. Available at: http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/systems-computer/diagramming-development-1-bounding-realities/content-section-3 [Accessed December 16, 2015].
Reynolds, D.M. et al., 2014b. Diagramming for development 2 - Exploring interrelationships. Available at: http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/systems-computer/diagramming-development-2-exploring-interrelationships/content-section-0.
Richard L Nolan, 1973. Computer Data Base: the future is now. Harvard Business Review, pp.66–82. Available at: http://pro.unibz.it/staff/ascime/documents/Computer Data Bases.pdf.
Richardson, R., 2015. Disambiguating Databases. Communications of the ACM, 58(1), pp.54–61.
Rindler, A. & Hillard, R., 2013. Information Development Using MIKE2.0, Henderson: Motion Publishing.
Roche, J., 2013. Adopting DevOps Practices in Quality Assurance: Merging the art and science of software development. ACM Queue, 11(9), pp.1–8.
Rousseau, D. & Wilby, J., 2014. Moving from Disciplinarity to Transdisciplinarity in the Service of Thrivable Systems. Systems Research and Behavioral Science, 31(5), pp.666–677.
Ryan, G.W. & Bernard, H.R., 2000. Data Management and Analusis Methods. In N. K. Lincoln & D. & Y. S., eds. Handbook of Qualitative Research. Thousand Oaks, CA: Sage, pp. 769–802. Available at: http://nersp.nerdc.ufl.edu/~ufruss/documents/ryanandbernard.pdf.
Saldana, J., 2013. The Coding Manual for Qualitative Researchers Second., London: SAGE Publications Ltd.

Sanwal, A., 2008. The Myth of Best Practices. Journal of Corporate Accounting & Finance, 19(5), pp.51–60.
Savage, N., 2014. The Power of Memory. Communications of the ACM, 57(9), pp.15–17. Available at: http://epress.lib.uts.edu.au/journals/index.php/csrj/article/view/2118\nhttp:
Schein, E.., 2010. Organizational Culture and Leadership 4th Editio., San Francisco: Wiley.
Schein, E.., 1980. Organizational Psychology Reprint 19., Englewood Cliffs: Prentice-Hall.
Schoen, H. et al., 2013. The power of prediction with social media. Internet Research, 23(5), pp.528–543. Available at: http://www.emeraldinsight.com/10.1108/IntR-06-2013-0115 [Accessed January 21, 2014].
Schuh, P., 2001. Agile DBA, Available at: www.sdexpo.com.
Schumpeter, J.A., 2010. Capitalism, socialism, democracy Reprint 19., Abingdon: Routledge Classics.
Seddon, J., 2003. Freedom from command and control, Buckingham: Vanguard Press.
Seddon, J., 2008. Systems thinking and the public sector, Axminster: Triarchy.
Seddon, J. & Caulkin, S., 2007. Systems thinking, lean production and action learning. Action Learning: Research and Practice, 4(1), pp.9–24.
Segal, B. et al., 2000. Grid computing: The European data grid project. IEEE Nuclear Science Symposium and Medical Imaging Conference, 1, p.2. Available at: http://www.researchgate.net/publication/3914275_Grid_computing_the_European_Data_Grid_Project/file/72e7e52864de518172.pdf.
Senge, P.M., 1990. The Fifth Discipline: The Art and Practice of The Learning Organization Reprint., Chatham: Mackays of Chatham.
Shankar, R. & Menon, R., 2010. MDM Maturity : Pragmatism , Business Challenges , and the Future of MDM. Business Intelligence Journal, 15(3), pp.19–26.
Shoham, Y., 2015. Why knowledge representation matters. Communications of the ACM, 59(1), pp.47–49. Available at: http://dl.acm.org/citation.cfm?doid=2859829.2803170.
Shu, N.C., Wang, H.K.T. & Lum, V.Y., 1983. Forms approach to requirements specification for database design. ACM, pp.161–172.
Silberschatz, A. et al., 1996. Strategic Directions in Database Systems - Breaking Out of the Box. ACM Computing Surveys, 28(4), pp.764–778.
Silberschatz, A., Stonebraker, M. & Ullman, J., 1995. Database Research : Achievements and Opportunities Into the 21st Century. NSF Workshop on the Future of Databases Systems Research, pp.1–17.
Silberschatz, A., Ullman, J. & Stonebraker, M., 1991. Database Systems: Achievements and Opportunities. Communications of the ACM, 34(10), pp.110–120.

Smith, S., 1997. Create that change readymade tools for change management S. Smith, ed., London: Kogan Page Ltd.
Snowden, D.J. & Boone, M.E., 2007. A Leader’s Framework for Decision Making. Harvard Business Review, 85(11), pp.68–76.
Sockut, G.H. & Iyer, B.R., 2009. Online reorganization of databases. ACM Computing Surveys, 41(3), pp.1–136. Available at: http://portal.acm.org/citation.cfm?doid=1541880.1541881 [Accessed March 27, 2011].
Sowa, J.F. & Zachman, J.A., 1992. Extending and formalizing the framework for information systems architecture. IBM Systems Journal, 31(3), pp.590–616.
Stein, M.-K. et al., 2015. Coping with information technology: Mixed emotions, vacillation, and non nonconforming use patterns. MIS Quarterly, 39(2), pp.367–392. Available at: http://misq.org/coping-with-information-technology-mixed-emotions-vacillation-and-nonconforming-use-patterns.html.
Stonebraker, M., 2012. New opportunities for New SQL. Communications of the ACM, 55(11), pp.10–11. Available at: http://dl.acm.org/citation.cfm?doid=2366316.2366319 [Accessed December 2, 2012].
Stonebraker, M., 2016. The land sharks are on the squawk box. Communications of the ACM, 59(2), pp.74–83. Available at: http://dl.acm.org/citation.cfm?doid=2886013.2869958.

Stonebraker, M. & Robertson, J., 2013. Big Data is “Buzzword du Jour;” CS Academics “Have the Best Job.” Communications of the ACM, 56(9), pp.10–11. Available at: http://dl.acm.org/citation.cfm?doid=2500468.2500471 [Accessed October 13, 2013].
Storey, V.C. & Goldstein, R.C., 1993. Knowledge-Based Approaches to Database Design. MIS Quarterly, (March), pp.25–47.
Strauss, A.L., 1987. Qualitative analysis for social scientists, Cambridge: Cambridge University Press.
SurveyMonkey, 2016. Sample Size Calculator. Available at: https://t.co/Nfkwxz5YnM [Accessed August 9, 2016].
Szulanski, G., 1996. Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17(S2), pp.27–43. Available at: http://doi.wiley.com/10.1002/smj.4250171105.
Takeda, K. et al., 2010. Data Management for All: the Institutional Data Management Blueprint Project. In 6th International Digital Curation Conference. Chicago. Available at: http://eprints.soton.ac.uk/169533/ [Accessed May 22, 2011].
Tallon, P.P. & Scannell, R., 2007. Information Life Cycle Management. Communications of the ACM, 50(11), pp.65–70.
Tashakkori, A. & Teddlie, C., 2003. Handbook of Mixed Methods in Social & Behavioral Research, Thousand Oaks, CA: SAGE Publications Inc.
Taylor, F.W., 1947. Principles of Scientific Management  first published 1911, ed., New York: Harper.
Teddlie, C. & Tashakkori, A., 2009. Foundations of Mixed Methods Research, Thousand Oaks, CA: SAGE Publications Inc.
The 451 group: Cloudscape, 2011. Cloud Codex, Available at: http://www.the451group.com/cloudscape/cloudscape_free_report_detail.php?icid=1485.
The Guardian, 2015. Nearly 157000 had data breached in talk talk cyber attack. The Guardian. Available at: https://www.theguardian.com/business/2015/nov/06/nearly-157000-had-data-breached-in-talktalk-cyber-attack.
The Open Group, 1996. TOGAF - the Enterprise Architecture Framework. Available at: http://www.opengroup.org/subjectareas/enterprise/togaf [Accessed March 1, 2015].
The Open University, 2012. T552 Diagramming. Systems Thinking and Practice: T552 Diagramming. Available at: http://systems.open.ac.uk/materials/T552/.
Thurmond, V.A., 2001. The Point of Triangulation. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing / Sigma Theta Tau, 33(3), pp.253–8. Available at: http://www.ncbi.nlm.nih.gov/pubmed/11552552.
Trauth, E.M., 1989. The evolution of information resource management. Information & Management, 16(5), pp.257–268. Available at: http://www.sciencedirect.com/science/article/pii/0378720689900037.

Tucker, A.L., Nembhard, I.M. & Edmondson, A.C., 2007. Implementing New Practices: An Empirical Study of Organizational Learning in Hospital Intensive Care Units. Management Science, 53(6), pp.894–907. Available at: http://pubsonline.informs.org/doi/abs/10.1287/mnsc.1060.0692 [Accessed September 26, 2014].
Tuckett, A.G., 2015. Applying thematic analysis theory to practice - A researcher’s experience. Contempory Nurse, 6178(December), pp.75–87.
Turner, V. et al., 2014. The Digital Universe of Opportunities: Rich Data and Increasing Value of the Internet of Things. IDC White Paper, (April), pp.1–5. Available at: http://idcdocserv.com/1678.
Utterback, J.M., 1996. Mastering the Dynamics of Innovation, Boston: Harvard Business School Press.
Varga, S., Cherry, D. & D’Antoni, J., 2016. Introducing Microsoft SQL Server, Redmond: Microsoft Press.
Venkatesh, V., Brown, S.A. & Bala, H., 2013. Bridging the Qualitaive – Quantitative Divide : Guidlines for Conducting Mixed Methods Research in Information Systems. MIS Quarterly, 37(1), pp.21–54.
VersionOne, 2013. 7th Annual State of Agile Development Survey, Available at: http://www.versionone.com/pdf/7th-Annual-State-of-Agile-Development-Survey.pdf.
VersionOne, 2015. 9th Annual State Of Agile Survey, Available at: http://www.versionone.com/pdf/state-of-agile-development-survey-ninth.pdf.

Viekzke, R., 2009. The Internet2 Community and the Large Hadron Collider. World Wide Web Internet And Web Information Systems.
Villar, M. & Kushner, T., 2010. A framework to map and grow data strategy. Information Management, (Nov/Dec), pp.24–27.
Wagner, E.L., Scott, S. V. & Galliers, R.D., 2006. The creation of “best practice” software: Myth, reality and ethics. Information and Organization, 16(3), pp.251–275. Available at: http://linkinghub.elsevier.com/retrieve/pii/S1471772706000121 [Accessed July 15, 2014].
Wagner, S. & Dittmar, L., 2006. The Unexpected Benefits of Sarbanes- Oxley The Unexpected Benefits of Sarbanes- Oxley. Harvard Business Review, April, pp.1–10.
Waldrop, M.M., 1992. Complexity: The emerging science at the edge of order and chaos, New York: Simon & Schuster.
Walker, P.M.B., 1991. Chambers Science Dictionary, Edinburgh: Chambers.
Watzlawick, P., Weakland, J. & Fisch, R., 1974. Change Principles of problem formation and problem resolution, New York: W.W. Norton & Company.
Wellstein, B. & Kieser,  a., 2011. Trading “best practices”--a good practice? Industrial and Corporate Change, 20(3), pp.683–719. Available at: http://icc.oxfordjournals.org/cgi/doi/10.1093/icc/dtr011 [Accessed July 30, 2014].
Westrum, R., 2004. A typology of organisational cultures. Qual Saf Health Care, 13(Suppl II), p.ii22-ii27.
Wettinger, J., Breitenbucher, U. & Leymann, F., 2015. Dyn Tail - Dynamically Tailored Deployment Engines for Cloud Applications. 2015 IEEE 8th International Conference on Cloud Computing, pp.421–428. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7214073.
Whalen, E. et al., 2001. Microsoft SQL Server 2000 Performance Tuning Technical Reference, Redmond: Microsoft Press.
Wikipedia, 2016. Database Engine. Available at: https://en.wikipedia.org/wiki/Database_engine.
Woody, B., 2002. Essential SQL Server 2000: An Administration Handbook, Boston: Pearson Education.
Woody, B., 2003. The SQL Server Runbook. Available at: http://www.informit.com/guides/content.aspx?g=sqlserver&seqNum=278.
Yuhanna, N., Gilpin, M. & D’Silva, D., 2009. The Forrester Wave TM : Enterprise Database Management Systems , The Forrester Wave TM : Enterprise Database, Available at: https://www.forrester.com/The+Forrester+Wave+Enterprise+Database+Management+Systems+Q2+2009/fulltext/-/E-RES46643.
Zachman, J.A., 1987. A Framework for Information Systems Architecture. IBM Systems Journal, 26(3), pp.276–292.
Zairi, M. & Whymark, J., 2000. The transfer of best practices : how to build a culture of benchmarking and continuous. Benchmarking: An International Journal, 7(1), pp.62–79.