OBJECTIVES:
To understand the importance of publication and its challenges.
To increase the visibility and accessibility of published papers.
To increase the chance of getting publications cited.
To disseminate the publication by using “Research Tools” effectively.
To increase the chance of research collaboration.
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Importance of Publication Visualization
1. Importance of Publication
Dr Mithileysh Sathiyanarayanan
Research & Innovation
MIT Square, London
www.mitsquare.com
2. Objectives
• To understand the importance of publication and its challenges
• To increase the visibility and accessibility of published papers
• To increase the chance of getting publications cited
• To disseminate the publication by using “Research Tools” effectively
• To increase the chance of research collaboration
3. Agenda
1. Why publication is important?
2. How to plan research and publish?
3. How to write a paper?
4. Can a sample paper help?
5. What editors and publishers want?
6. What are the publication ethics?
7. What are the challenges in publishing articles?
8. What is research impact used for?
9. What are the research tools?
10.What is the success formula?
5. Why Publication is Important?
• Convey something important
• Share your work
• Change practice
• Promote thoughts or stimulate debate
• Propose guidelines, principles and suggestions
• Educate
• Help academies and industries implement in real-
time
• Get into high impact journal
• Recognition
• Build your portfolio
• Advance your career
• Credibility with colleagues
• Royalties, Incentives & Remuneration
• Joint Proposals & Funding
• Collaboration
7. Steps in Starting a Research
• Turn your ideas into a research question
• Review the literature
• Identify methodology and methods
• Enlist co-authors, statistician, supervisor
• Agree who will do what
• Design the study and develop your methods
• Think about the ethics of your study design
• Write your research proposal
• Apply for funding and ethics approval
8. What is a Research Question?
• The researcher asks a very specific question and tests a
specific hypothesis. Broad questions are usually broken into
smaller, testable hypotheses or questions.
• Often called an objective or aim, though calling it a question
tends to help with focusing the hypothesis and thinking
about how to find an answer.
9. What Makes a Poor Research Question?
A question that matters to nobody, even you
Hoping one emerges from routine clinical data/records
• the records will be biased and confounded
• they’ll lack information you need to answer your question reliably, because
they were collected for another reason
Fishing expedition/data dredging – gathering new data and hoping a question
will emerge
10. How to Focus Your Question
• Brief literature search for previous evidence
• Discuss with colleagues
• Narrow down the question – time, place, group
• What answer do you expect to find?
11. Turning a research question into a proposal
• From who I am collecting information from?
• What kinds of information do I need?
• How much information will I need?
• How will I use the information?
• How will I minimise chance/bias/confounding?
• How will I collect the information ethically?
12. Minimizing Bias and Confounding
Chance - measurements are nearly always subject to random variation. Minimise error
by ensuring adequate sample size and using statistical analysis of the play of chance.
Bias - caused by systematic variation/error in selecting participants, measuring
outcomes, analysing data – take extra care.
Confounding - factors that affect the interpretation of outcomes. For Ex: people who
carry matches are more likely to develop lung cancer, but smoking is the confounding
factor – so measure likely confounders too.
15. Paper Writing Philosophy
A paper contains
• A report on (new findings) and/or solutions.
• Purpose is to convince the reader that the findings/solutions are
- important
- and better (than the existing solutions)
• Level of rigour when writing is higher
• Expected to support statements with references
• Contextualise what is known about the subject and any gaps in the evidence
• How does your manuscript adds to the body of knowledge
16. A quality paper must have the following
• What is your research all about?
• Why are you want to conduct this kind of
a research?
• What problems/challenges you want to
solve/reduce?
• Why is it important?
• What have you achieved?
• How you achieved it?
• Why you obtained such results? (analysis)
• How much better is it?
17. Writing Process Flow
• Research Planning
• Executive Summary & Abstract
• Literature Review / Related Works
• Identifying the Right Methodology & Methods
• Executing the Methodology in a Right Way
• Obtaining Results
• Organizing Results
• Check the Quality of Paper
• Planning for Publication
• Finding the Right Conference / Journal
• Pre-submission Review
• Editing & Submission
• Correction & Final Proof
19. Introduction
• Considered E-discovery and Digital Forensics as an application domain.
• Multi-faceted (time, individuals, connections and context)
• Many legal companies use manual investigation to find key information
(Lawton et al., UK home office, 2014).
• The complete investigation process is complex / cumbersome, expensive,
time-consuming and tedious to find interesting/relevant information.
• E-discovery experts need a tool that can help in discovering interesting
information and finding interesting relationships between them.
• Can visualization empower investigators? Can visualization be in the
investigation loop?
• Using visualizations to investigate emails from multiple perspectives are
under-explored and under-investigated.
21. Research Question
To what extent visualisations can support analysts in finding relevant
and/or discovering interesting information in a corpus of E-mail within
an organization supporting in the E-discovery Investigation?
22. Aim of the Research
The aim of the research is to design and develop interactive visual
solutions to explore and find / discover relevant / interesting information
in a corpus of E-mail communications from an investigation perspective
to support organizations specializing in Digital Forensics and E-discovery.
23. O1: Understand the E-discovery domain & review
literature.
O2: Design & develop interactive visualisations
O3: Validation of visual methods
O4: Iterative refinement of the developed
prototype.
Objectives
23
24. Contributions
• Characterised the domain, problems and tasks for E-discovery.
• Identified knowledge gap and provided overview of the existing
techniques.
• Designed and Developed interactive visualisation solutions.
• Validated the solutions
• Deployed Solutions in the Collaborator’s Platform (Google Suite).
• Lesson Learnings & Principles
• Presented papers at various venues India, USA, UK & Germany
(includes VIS & domain-related ones).
• Filed a Patent in the USA.
25. Literature Review – Key Findings
Visualization Features - Identified four main features in visualising
email communication, that is temporal, individuals and contents,
including thread features.
Visualization Techniques / Methods - More than half the surveyed
papers use conventional visualisations (basic charts and matrices) to
investigate data.
Visualization Tasks / Interaction System - Almost half of the surveyed
papers only provide an overview and show their analytic or visual
results but do not implement a details-on-demand and exploration
functionality.
26. Finding interesting subsets
within the large volume of
data
Complex and dynamic nature of
communication patterns
Open-ended data
exploration to find
interesting communication
patterns
Problem Characterization & Abstraction
35. Iterative user-centric design approach gave us a good base to capture user
requirements (from the experts) which helped us achieve Objective 1 (O1).
Iterative user-centric design approach gave us a good platform to design interactive
visualisation solutions with the experts which helped us achieve Objective 2 (O2).
Iterative user-centric design approach also gave us a good space to validate our
solutions with the experts which helped us achieve Objective 3 (O3).
Revisiting Objectives
36. F1: An iterative user-centric design approach helped in
understanding E-discovery domain and the investigation needs.
F2. Multi-faceted exploration and multi-granular analysis
helped in discovering interestingness.
F3: Interactive visualisation assisted active learning helped in
classifying communications.
Findings
37. L1. Domain-specific requirements in depth should be focused.
L2. Conventional visualisations and novel visualisations should
be carefully analysed.
L3. Evaluation with non-experts should be considered.
Learnings
38. P1. Focus on domain-specific requirements.
P2. Consider iterative user-centric design throughout design-cycle.
P3. Generate system-based features for pattern characterization.
P4. Build pattern-oriented interactive visualisations for discovering
interestingness.
P5. Leverage multi-faceted and multi-granularity for exploration and
discovery.
P6. Important to represent evolution of communication.
P7. Evaluate the system with both experts and non-experts.
Principles
40. What is Peer Review?
‘Peer review is the process by which reports of, or
proposals for, research are scrutinised by other
researchers’. (Committee of Publisher Ethics, 2011)
41. What is the Purpose of Peer
Review?
• To ensure that only the best quality
manuscripts are published.
• To provide constructive feedback on
how a manuscript can be further
developed.
43. Ethical Issues – the Wider Aspects
•What information will you give participants before seeking their
consent?
•How much will the study deviate from current normal (accepted,
local) clinical practice?
•What full burden will be imposed on participants?
•What risks will participants/others be exposed to?
•What benefit might participants or others receive?
•How might society/future patients benefit in time?
•Might publication reveal patients’ identities?
44. Authorship and Contributorship
• These denote credit and accountability
• Many authors on papers have done little
• People’s names are left off papers
• Authors do not know the authorship criteria
• Contributorship statement more inclusive
45. Authorship
Authorship credit should be based only on substantial contribution to:
Conception and design, or data analysis and interpretation
Drafting the article or revising it critically for important intellectual content
Final approval of the version to be published
All these conditions must be met.
Participation solely in the acquisition of funding or the collection of data does
not justify authorship.
All authors included on a paper must fulfil the criteria
No one who fulfils the criteria should be excluded
46. Contributorship
Contributors (not all necessarily authors) who took part in planning, conducting, and
reporting the work.
Guarantors (one or more) who accept full responsibility for the work and/or the
conduct of the study, had access to the data, and controlled the decision to publish.
Researchers must decide among themselves the precise nature of each contribution.
47. 7. What are the challenges in publishing
articles?
48. Challenges in Publishing Articles
• Choosing the Suitable Conference and Journal
• Publication Type: Open Access Journal versus Traditional Journal?
• Language and Style
• Plagiarism and Similarities
• Publication Time (rapid publication)
• Publication Cost
• Complexity of Peer Review System
• Copyright issues
• Following Author Guidelines
• Research Impact
50. Research Impact
Uses of
Research Impact
and Citations
University
Rankings
Recruitmen
ts
Tenure
track
Research
funders
CV
Benchmarkin
g
Performanc
e
Assessmen
t
Research
Manageme
nt
Research
assessment
exercise
Impacts of scientific
publications
Oct-21 50
51. Publications are an essential part of scientific communication (with industry and
community) and important products of research. Hence, the following method of
analysis is needed:
Determining the productivity and quality of a unit's research output.
In addition to it's impact and visibility.
Citation analysis can be used to compare a unit's research in comparison to the
international level in each field of knowledge.
How is your research being evaluated?
52. What can be measured?
• Publications per year, per author
• Publication type - articles, conference papers,
dissertations and monographs
• Collaboration between researchers, groups,
organizations etc.
• Who is citing whom, what, when
How Research has Impact
53. Research Impact
What impact can be measured?
• Individual, group, institution, subject area, geographic region (bibliometrics)
• individual article level (altmetrics)
54. Bibliometrics
• Uses – to examine scientific publication activity, the most cited
publications and the linkages between citing articles
• It can be used to study the impact of a publication, an author or an
institution based on the number of times works and/or authors have
been cited by others
• Bibliometric indicators, like Journal Impact Factor and h-index, are used
to measure research impact and publication activity
• Three best known citation analysis databases are Web of Science (WoS),
Scopus and Google Scholar (GS)
Refer to: https://ukm.pure.elsevier.com/
55. Altmetrics (or article level time metrics) measure research visibility in social media and other
online platforms.
How much an article is viewed, downloaded, recommended or discussed on the net? Altmetrics
try to answer who is saying what about research.
Measurable ”items” for example:
– mentions (e.g. blog posts, comments, tweets, Wikipedia)
– use (e.g. downloads, views, saves, bookmarks)
– recommendations (e.g. likes, shares, reviews)
– citation counts
Figures are collected from extensive, open services, including e.g. Open Access journals, citation
databases, social media and researcher visibility services like ORCID, KUDOS, ResearcherID,
Google Scholar, AcademiaEdu and Mendeley.
Altmetrics
56. Publications - Country Rank
Source: https://www.scimagojr.com/countryrank.php (as of 2020)
60. Grammar Checker
• Hemingway
• Grammarly
• Grammar Check
• Ginger
• Zoho
Other Research Tools
• Dictionary
• Thesaurus
• Translator
Research Tools
61. Plagiarism Checker
• Turnitin
• iThenticate
• Small SEO Tools - Plagiarism
Checker
• Grammarly
• Quetext
• Duplichecker
Research Tools
62. Research Datasets
• Google Dataset Search
• Kaggle
• SagePub
• Mendeley
• Github
• Data.Gov
• Datahub.io
• UCI Machine Learning Repository
• Earth Data
• CERN Open Data Portal
• Global Health Observatory Data Repository
• FBI Crime Data Explorer
• Stanford Large Network Dataset Collection
Research Tools
65. Collaboration Tools - Store and Organize Files
Create documents, spreadsheets and more to share with a group.
Capture, organize, and share notes from anywhere. Share notes with
friends and colleagues.
• Google Drive
• Microsoft 360
• Dropbox
• Evernote
Research Tools
66. Collaborative Writing Tools
• Google Documents
• Microsoft Documents
• Dropbox Paper
• Overleaf
• Authorea
• PubPub
Collaborative Discussion Tools
• Google Meet & Chat
• Skype
• Slack
In addition, use
• Google Tasks
• Google Keep
• Google Calendar
Research Tools
67. Research Portfolio
• Google Scholar
• Microsoft
Academic
• ResearchGate
• AcademiaEdu
• LiveDNA
• Slideshare
• Scopus
• Orcid
Research Tools
68. Conference Alerts & Notifications
• Conference Alerts
• All Conference Alert
• World Conference Alerts
• EDAS
• EasyChair
• Resurchify
Research Tools
69. My Success Formula
• LaTex
• Inkscape & Canva
• Google Scholar
• Google Workspace
• Mendeley
• BibTex
• Small SEO Tools - Plagiarism
Checker
• Grammarly
• EDAS & EasyChair
70. What we learnt?
• How important it is to publish articles and what are its challenges?
• How to increase the visibility and accessibility of published papers?
• How to increase the chance of getting publications cited?
• How to disseminate the publication by using “Research Tools” effectively?
• How to increase the chance of research collaboration?