FDP on Data Analysis in Natural Sciences
Date: 06/12/2017 – 07/12/-2017
Number of beneficiaries: 30
List of Resource Persons with details:
Mr.Seby Kallarakkal, CEO, Nabler, The Digital Analytics Company Charlotte, North Carolina
Dr.Suresh KP, Senior scientist, National Institute of Veterinary Epidemiology and Disease Informatics, Bangalore
Dr.Justin Nelson Michael, Director- Research, Kristu Jayanti College
Mrs. Jyothi Manoj, Faculty, Department of Statistics, Kristu Jayanti CollegeObjective: To enhance and upgrade the knowledge on Advanced Data Analysis for management research
Session I: Introduction to Data related to life Sciences, Tests of Hypothesis
The first session was conducted by Dr. Justin Nelson, Professor, Department of Management, Director, and Center for Research who briefed about the use of SPSS (Statistical Package for Social Sciences) software in order to perform t-test and chi-square data analysis. He also emphasized on ANOVA for the analysis of variance.
Session II: Tables, Charts, Descriptive Statistics- Excel, Correlation, Regression
Professor Jyothi Manoj, Department of Statistics handled the session on how to use MS Excel in order to perform Data entry, presentation and interpretation by graphing. She also explained the tests to be done for correlation and regression using SPSS software.
Session III: Practical session on ANOVA, Regression
Dr K P Suresh, Principal Scientist, NIVEDI (National institute of veterinary epidemiology and disease information) handled the sessions on the second day. During the morning session he dealt with the theoretical aspects which focused on strengthening our foundation and perspective of statistics in relation to the field of Natural Sciences.
He also emphasized on research methodologies and the ethics and attitude to employ them which consisted of the types of hypothesis and the types of study along with the required factors. He also thought us various data collection and management procedures, suitable statistical methods and learning to interpret the results. We also learned about the availability and uses of EpiTools, an online epidemiological calculator. During the afternoon session, he conducted a practical session on VASERstat, an online site for statistical computation mainly using ANOVA, linear regression and Chi-Square test and with that the FDP- data analytic workshop concluded.
FDP on Data analysis in natural sciences
Number of beneficiaries: In-house:10 | External: 15
List of Resource Persons with details:
Dr. K. P. Suresh, Ph.D (Biostatistics), Sr.Scientist, National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bangalore.
Dr. Sridharan D, Chairperson, Institutional Ethics Committee, ChanRe Rheumatology & Immunology Center & Research
Objective: The FDP aims to provide comprehensive introduction to the statistical methods used in natural sciences to analyze empirical and experimental data. The FDP will also serve to bridge the gap between theory and practice. To help the budding researchers get an insight into ethics, data gathering and analysis, and statistics.
Session I: “Essentials in Research Methodology”, Dr. K. P. Suresh
The resource person briefed about identifying research topics, variables, and methodological approaches followed by data collection, assessment strategies and interpretation methods. He also added emphasis on
● reviewing the literature and formulating a research question
● drafting a research protocol
● understanding the process of applying for ethical approval
● learning research methods applicable to clinical studies
● learning how to formulate a questionnaire
● learning how to prepare papers for publication
● learning the basics of statistical analysis of data
Session II: “Ethics in Research”, Dr. Sridharan D
Ethics in research are very important when an experiment is going to be conducted.Ethics should be applied on all stages of research, such as planning, conducting and evaluating a research project.The first thing to do before designing a study is to consider the potential cost and benefits of the research.Ethical Standards :
● avoid any risk of considerably harming people, the environment, or property unnecessarily. The Tuskegee Syphilis Study is an example of a study which seriously violated these standards.
● not use deception on people participating, as was the case with the ethics of the Stanley Milgram Experiment
● obtain informed consent from all involved in the study.
● preserve privacy and confidentiality whenever possible.
● take special precautions when involving populations or animals which may not be considered to understand fully the purpose of the study.
● not offer big rewards or enforce binding contracts for the study. This is especially important when people are somehow reliant on the reward.
● not plagiarize the work of others
● not skew their conclusions based on funding.
● not commit science fraud, falsify research or otherwise conduct scientific misconduct. A con-study, which devastated the public view of the subject for decades, was the study of selling more coke and popcorn by unconscious ads. The researcher said that he had found great effects from subliminal messages, whilst he had, in fact, never conducted the experiment.
● not use the position as a peer reviewer to give sham peer reviews to punish or damage fellow scientists.
Session III: “Data Analysis”, Dr. K. P. Suresh
Data Analysis is the process of systematically applying statistical and/or logical techniques to evaluate data. While data analysis in qualitative research can include statistical procedures, many times analysis becomes an ongoing iterative process where data is continuously collected and analyzed almost simultaneously. Indeed, researchers generally analyze for patterns in observations through the entire data collection phase. The form of the analysis is determined by the specific qualitative approach taken (field study, ethnography content analysis, oral history, biography, unobtrusive research) and the form of the data (field notes, documents, audiotape, and videotape).
An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Improper statistical analyses distort scientific findings and may negatively influence the public perception of research. Integrity issues are just as relevant to analysis of non-statistical data as well.
Considerations/issues in data analysis:
There are a number of issues that researchers should be cognizant of with respect to data analysis. These include:
● Having the necessary skills to analyze
● Concurrently selecting data collection methods and appropriate analysis
● Drawing unbiased inference
● Inappropriate subgroup analysis
● Following acceptable norms for disciplines
● Determining statistical significance
● Lack of clearly defined and objective outcome measurements
● Providing honest and accurate analysis
● Manner of presenting data
● Environmental/contextual issues
● Data recording method
● Partitioning ‘text’ when analyzing qualitative data
● Training of staff conducting analyses
● Reliability and Validity
● Extent of analysis
Session IV: “Practical session on Data Analysis”, Dr. K. P. Suresh He gave training on t test, ANOVA, Chi square test, sample distribution and hypothesis.
FDP on Workshop on Bioinstrumentation
Objective: The objective of this hand on program is to bring together researchers from both academia and industry, to discuss and update on Bioinstrumentation
The event flagged off with a total of 16 delegates from various institutions at 10 am with the inaugural ceremony.Dr. Shiv kumar Arumugham-Vice President, Department of Biotechnology Sami labs Pvt Ltd. Bangalore, was the Chief Guest for the day. He addressed on biological product development and raw material assessment with the help of various bio instruments and its necessity for quality enhancement. Rev. Fr. Augustine George,Vice Principal presided over the function and addressed the gathering.
Then followed the first session,Dr.Elango, R & D Scientist Serene Science and Technologies, Bangalore explained the importance and working of instruments, also added on the safety measures with which it has to be handled to achieve accurate results. He also related it with diagnosis of cancer and its determination with techniques like real time PCR, quantum DOT, DNA Microarray,Laser controlled micro dissection.
The following session was taken over by Mr.Srinivasan who gave an insight, dissecting each part of the microscope and its working, explained the inside out of its mechanism.Post lunch, there was a session on the demonstration of instruments.Mr.K.Shanker, Director, Serene Science and Technologies, Bangalore, dealt with the working principle of gel documentation system, UV transilluminators, sonicator, and conventional thermal cycler.
Mr.Balaji, Application Scientist, 3i Molecular Solutions, Bangalore, described the concept of real time PCR, speedy breedy and their application in Molecular Diagnostics. Mr.Prakash of Scigenics Biotech Pvt. Ltd., Bangalore, explained about orbital shaker.Mr. Somashekar of Ultra biotech Pvt,Ltd.,Bangalore detailed on the mechanism and maintenance of laminar flowhood.