(1) Multatuli, Collected works III, Garmond Editie, idea nr. 550

(2) K.R Popper. The logic of scientific discovery. Hutchinson. London, 1959
K.R. Popper. Objective Knowledge, an evolutionary Approach. Clarendon Press, Oxford 1972
(3) R. Audi, gen. Ed. The Cambridge Dictionary of Philosophy. Cambridge University Press 1995. p 631.
(4) Horatius, (Epist.1,1,4)
(5) J. Woodward and D. Goodstein. Conduct, Misconduct and the structure of Science. American Scientist, September 1996, p. 479- 490.
(6) D.S. Kevles. The Baltimore Case: a Trial of politics, science and Character. W.W. Norton, New York 1998
(7) P. Medawar. Is the scientific paper a fraud? The listener, 70, 377-377-378, 1963
(8) J.P. Rushton, H.G. Murray, S.V. Paunonen. Personality Characteristics Associated with High Research Productivity. Pag. 129- 148 in:Scientific Excellence. Ed. D.N. Jackson & J.P. Rushton. Sage publications, 1987
(9) J.E. Drevdahl & R.B. Cattel. Personality and creativity in artist and writers. Journal of Clinical Psychology, 14, 107-111, 1958.
(10) Goldhammer. On Diderot & Condorcet
(Excerpts) D. Diderot. Letter on the Book tras
(Excerpts) Condorcet. Fragments concerning freedom of the press.
Daedalus, Spring 2002, 46- 59.
(11) Evelyn Fox Keller. Life and Work of Barbara McClintock by (W.H. Freeman, San Francisco, 1983).
(12) P. Medawar. Pluto's Republic, Oxford University,Press, New York, 1982, p. 16.
(13) “On Being A Scientist: Responsible Conduct in Research”, NAS (1995); (http://bubl.ac.uk/docs/sciences/obas/index.html)
(14) “Proposals for Safeguarding Good Scientific Practice”. Recommendations of the Commission on Professional Self-Regulation in Science DFG, January 1998
(15) S.S. Pugh, D.J. Hickson and C.R. Hinings. “Writers on Organization”. Pelican books, 1983
(16) M. Curd & J.A. Cover. “Philosophy of Science. The central issues”. W.W. Norton and Company, New York, London, 1998
(17) M.D, Coe. “Breaking the Maya Code”. Thames and Hudson, 1992.

–> 2. The rules for good scientific practice
2.1 Experimental Techniques and the Treatment of Data. (i)