Greek Euclid at the Library of Alexandria, ancient teaching methods

Ismail Serageldin, Egypt: Share knowledge online "Nature" publication

      How “stataphobia” is preventing publication "BMJ" pubication


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Dancing Statistics
Statistics Explained Through Modern Dance: A New Way of Teaching a Tough Subject

Research Methods Help:  The Bibliotheca Alexandria (BA) Research Methods Library.
The Library of Alexandria has developed one of  the largest and most comprehensive research methods library. We are here to  assist researchers in planning and analyzing their research efforts. If you have questions about research methods please contact the BA research methods library

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BA Serageldin Research Methods Wiki

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Building the BA Serageldin Wiki

Enter the World of Science

 Problem:   Research productivity in developing countries is very low.  A major difficult of this is Stataphobia, the fear of statistics and not having access to statistical methods.  Part of the difficulty of lack of access is due the rising costs of research materials. Also, there has been destruction of some of the classic libraries of the world.

Solution:  The establishment of the research methods library of Alexandria Wiki where researchers in developing and developing countries alike can have equal access to research methods materials. 

Background:  Modern statistical research methods had their beginnings in the mid 1920 with Fisher and Pearson.  An amazing revolution of science took place such that these classical research methods swept across all of science in less than 5 years.  Virtually all science today whether it be Epidemiology, physics, chemistry, Anthropology use  the same classical statistics measures.  In all our scientific tool kit we know what mean, medians, Pearson correlation, normal curves are.  However, in the past 50 years each of our disciplines have branched and created our own specific forms of research methods, e.g. we in epidemiology use methods such as odds ratios, age adjustment, life table, intention to treat that are not used in chemistry or physics. We therefore have created the Serageldin Research methods library for both classical statistics and specific statistical areas of science.

The World of Science

Almost all scientists use classical methods, and we all know exactly what engineers are saying when that the mean and standard deviation of bridge pillars are 2300 tons +/- 200 SD.  The classical research methods are those that glue the world of science together.  We have already built the classical Research methods library, plus the Serageldin Euclid matrix and we are actively building the BA Serageldin Wiki.

The Serageldin Research Methods Wiki consists of 3 components:

1.    Statistical Matrix: This is a simple
method to learn about classical statistics.  It targets classical statistics, Epidemiology, and agriculture.  It is also available in Arabic, English, Farsi, Japanese and Russian -

2.   Research Methods, Classical statistics:  We have compiled ebooks, PowerPoint lectures, and youtube presentations that can help answer your research methods questions -

3.   Research Methods Wiki Domains of Science:  We have collected and categorized research methods in 25 different domains of science, e.g. Agriculture, Epidemiology, Chemistry…This library compliments the classical statistics wiki. One can learn for example, classical statistics, as well as research methods specific to engineering.

The organization of the wiki is based upon the sections of the AAAS plus a few additional areas. The sections highlighted in yellow are already complete or nearly complete.


Agriculture, Food, and Renewable Resources (Section O)
(Section H)
Astronomy (Section D)
Atmospheric and Hydrospheric Sciences (Section W)
Biological Sciences (Section G)
Chemistry (Section C)
Dentistry and Oral Health Sciences (Section R)
Education (Section Q)
Engineering (Section M)

General Interest in Science and Engineering (Section Y)
Geology and Geography (Section E)
History and Philosophy of Science (Section L)
Industrial Science and Technology (Section P)
Information, Computing, and Communication (Section T)
Linguistics and Language Science (Section Z)
Mathematics (Section A)
Medical Sciences (Section N)
Neuroscience (Section V)
Pharmaceutical Sciences (Section S)
Physics (Section B)
Psychology (Section J)
Social, Economic, and Political Sciences (Section K)
Societal Impacts of Science and Engineering (Section X)
Statistics (Section U)