Writing Research Papers in Data Science

Writing Research Papers in Data Science
Dr. Ceni Babaoglu
Ryerson University
Copyright © Dr. Ceni Babaoglu, 2020, cenibabaoglu.com

Outline
• Importance of writing research papers in data science
• How to write research papers
• Structuring the research project
• Defining the research problem
• Reviewing the literature
• Conducting quantitative analysis
• Targeting a journal/conference
• Writing the first draft
• Providing reproducible research
• Publishing a research paper in data science
• Structure of the research paper

Importance of writing research papers
• Why is it important?
• Sharing knowledge in an interdisciplinary research area
• Making room for collaboration
• Providing an opportunity for improvement
• Who is it important for?
• Faculty members, masters and doctoral students
• Employees working on data science projects
• Companies for marketing purposes

Structuring the research project
• What are you going to do? The subject of your research.
• Why are you going to do it? The reason for this research being necessary or
interesting.
• How are you going to do it? The research methods that you will use to carry out
the project.
• When are you going to do it? The plan of the work.

Defining the research problem
• State clearly and concisely
• Be significant, make sure that it is not trivial or repetition of previous work
• Decide on the scope and limits of the scope
• Check the possibility to obtain the information required to explore the problem
• Make it possible to draw conclusions related to the problem, as the point of
research is to find some answers

Reviewing the literature
• Peer reviewed research papers
• Reliable web sources
• Latest research and developments in your research
• Research methods and techniques that have been used
• The important issues of your research problem through literature review
• Links across discipline boundaries
• Thinking about a platform to publish your work

Conducting quantitative analysis
• Making comparisons
• Examining relations
• Conducting exploratory data analysis
• Mining the data
• Predictions & Validations

Targeting a journal or a conference
• Conferences (peer-reviewed)
• poster presentation or giving a talk
• registration and payments
• attending a conference (going to a venue or online)
• deadlines set for submission
• a full paper or a short paper
• submission requirements
• Journal papers (peer-reviewed)
• a long paper or a short paper
• no set deadline unless it is a special issue
• some journals may require payments
• submission requirements
• EDAS http://www.edas.info/ Conference and Journal Management System

Writing the first draft
• Title and problem definition
• Data set and data description
• Literature review and background
• Exploratory data analysis
• Methodology and experiments
• Results
• Threats to validity
• Conclusions

Providing a reproducible research
• Publishing your data and software code so that others may verify the findings
and build upon them
• Allowing others to easily execute the same analysis
• Making use of GitHub
• Git & GitHub Tutorial for Beginners
• Sharing your paper on an open-access distribution platform
• https://arxiv.org/

Structure of the research paper
◦ Abstract
◦ Introduction
◦ Background and Literature Review
◦ Dataset and Data Description
◦ Methodology
◦ Results
◦ Threats to Validity
◦ Conclusions and Future Work
◦ Acknowledgements
◦ References

Abstract
• Importance of the abstracts
• paper distributions by the executive editor
• catching the attention of the readers
• Structured Abstract
• Background
• Aim
• Methodology
• Results
• Conclusion

Threats to Validity
• Listing the threats to validity as
• internal
• external
• construct
• Discussing how you mitigate these threats in your work

Conclusions and Future Work
• Extension of the work
• extended experiments
• additional datasets
• new experimental designs
• new algorithms
• Showing that there is room for improvement
• Note: the work should not be seen as incomplete

Acknowledgements
• Domain experts/stakeholders/team members may be acknowledged if they are not
the coauthors
• make sure they agree that their names will be seen in the acknowledgement
• If the paper is a part of a research grant, the grant can be acknowledged

Submission of the Research Paper
• Revise your manuscript with your co-authors
• Ask your colleagues to read your manuscript
• Check the submission requirements once more
Submit your paper!
Good luck!

References
• Walliman, Nicholas. Research methods: The basics. Routledge, 2017.
• Willis, Jackie. Data analysis and presentation skills: An introduction for the life and
medical sciences. John Wiley & Sons, 2005.

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