Saturday, 2 November 2013

Final Sumarry

Kingsley Gaius Ufumwen

Data Analytics (DT228B)
Research Writing and Scientific Literature
Dublin Institute of Technology

Assignment part 1: Search Strategy
Date: 2.11.2013

Search Strategy

Finding a topic
Finding a topic was very difficult as computer science as a whole and data analytics in particular is a very broad area of study.  A topic of interest might not be the topic can be very challenging. It might not be a topic where one is already skilled or it might be a topic that one is particularly interested but it might not be the areas of study where one wishes to contribute. It might also not be the area that needs further development based on one’s intention or need of the society or of a particular society if one happens to have a particular focus.

Somehow by comparing the pros and the cons and usefulness of my intention to my target environment I decided on the topic:
Utilization of Data Analytics for improvements in the developing world

First task was to get some comprehensive overview on this research area by trying to acquire some relevant and trusted information on the topic by searching for research papers and company white papers, journals and articles, conferences, podcasts, books and websites on the topic

Overview of Data Analytics and Developing World
Data Analytics - Simply put, Data Analytics is the process of gathering data and then inspecting the data, cleaning the data, transforming the data and modelling the data in order to be able to find patterns or discover some knowledge from the data that can be used to make future predictions or simply used to make good decisions

Developing World – developing world are countries or nations with low standard of living, less developed industries and low human development index compared to other countries
Developing country, Available: http://en.wikipedia.org/wiki/Developing_world
[Accessed: 02.11.2013]

Initial research to gather more information
There are lots of websites and links that one can get from searching any topic. The challenge is to be able to find the good and relevant websites that are not fake and then to be able to filter the relevant information from the search result. Assuming one is on the correct website or search engine filtering the search result can be based on the specific topic and more specific criteria relevant to the topic sentence. To achieve this it is necessary to create some keywords or words combination and review the search results

Creating Keywords from the topic
Before creating the keywords it was necessary to first split the topic into concepts that will be a shorter combination of words. The concept can be of every possible variety of words combinations. It somehow seems like applying statistical probability theory but every words combination can produce a unique search result that will be of vital importance in the research.
 More information can be found in my post titled “keywords”

 Some of the words combinations are:
·         Data analytic utilization in development
·         Using Data Analytics
·         Development in underdeveloped countries
·         Development using data analytics
·         Developing with data analytics
·         Data analytics in rural development
·         ICT Development in poor countries
·         Data analysis and countries development
·         Data analytics and development
·         Data analytics advantages
·         Advantages of data analytics
·         Benefits of data analytics
·         Uses of data analytics
·         Pros of data analytics
·         Data analytics in government
·         Data analytics in economic


Finding synonyms
Apart from the keywords or words combination concept it is also important to try to find synonyms to the words because this will help further in the searching process. The reason for this is because most search engines and databases might have the same information stored under different names or stored under a different title using a word that is just the synonym of what we are looking for.

 I have more information of on this in the post titled “possible synonyms”
Some of the synonyms:
·         Developing world; developing countries; developing nations
·         Under-developed countries; underdeveloped
·         Third world nations; third world countries
·         Data Analytics; analytics solution; business analytics; business intelligence;
·         Utilization; application; employment; implementation; exertion; usage; operation; use;
·         Development; growth; advancement; evolution; expansion; improvement; progress; developing; advancing; increasing;  progress; progression; augmentation; boost; evolving;
·         Analysis; study; search; investigation; inquiry

Brainstorming the topic
In the post titled “Brainstorming the topic” I tried to further decompose the topic into further smaller chunks and into other possible areas of study and of relevance using PESLTE analysis method and a self-composed acronym - MMECT(manufacturing, Medical, Education, Commercial and Transportation)

What is a PESTLE Analysis?
PESTLE is an acronym that stands for "political, economic, social, technological, legal and environmental." PESTLE analysis is used to identify various external political, economic, social, technological, legal and environmental factors
 Gregory Hamel, (Demand Media), Reason to Use SWOT & PESTLE Analysis
Available:
http://smallbusiness.chron.com/reason-use-swot-pestle-analysis-40810.html,
[Accessed:29th October 2013]

Political: political data analysis; data analytics in politics; data analytics and politics; data analysis and politics; data analysis in politics; data analysis in political development; development and data analytics/analytics; political trends and data analysis; data analysis in government; data analysis in institutions; the use of data analysis in political institutions/parastatals/organizations/organisations/ departments

Economics: economic data analysis; economic Analytics; economic analysis in ICT; economic development and data analysis; big data and economic analysis

Social: analyzing/analysing social network data; role of data analytics in social media; analysing/analyzing data from social media/social network; developing the social network with data analytics; improving the social network with data analytics; implementing data analytics in social network/social media; applying data analysis in social network; big data and social network

Technological: technical data analysis; growth of data analytics in technology; role of data analytics in technology; using data analytics for further development; exploring data analytics in technology

Legal: legal data analysis; role of data analytics in legal systems; using data analytics to combat crimes; using data analytics to capture criminals; using data analytics to prevent crimes; using data analytics to control crimes; using data analytics in criminal investigations; using data as evidence in court

Environmental: big data in environmental development; maps and data analytics; big data and the environment; environmental data analysis

manufacturing: data analytics in manufacturing

Medical: data analytics in medicine; application of data analytics in medical science; bioinformatics and data analysis

Educational: introducing data analysis in educational syllabus; using data analysis to improve learning/education; promoting research in data analytics; research in data analytics

Commercial: improving trade using data analysis; developing export and import using data analysis;  commercial use of data analysis

Transportation: planning road network using big data; development using statistical data; controlling traffic using data analysis; development infrastructure using data analysis

Identifying available resources
After creating the concepts with possible keywords and word combinations the next step is to try to identify available resources where the information can be found. Details of this step can be found in the post “Journal sources and ACM Digital Library”, “Journal review sheet”, “Conferences” and “Databases”

A list of some Available resources
The DIT Library both the physical shelves and the online resources, Journals, conferences, books, white papers, articles, podcasts, blogs; Forums, news magazines

The DIT library also provide a service by creating an Athens account for student and with this created account a student can access most of the Digital libraries and have full access to the Journals

A list of the sites I accessed includes:
Search engines like Google scholar
Databases like ACM, IEEE,
Digital libraries

More details can be found n the post “Journal sources and ACM Digital Library”, “Journal review sheet”, “Conferences” and “Databases”

The Review sheet
The review list is on the post titled “Journal review sheet”

Journals list
A complete list of the Journals is in the post “Journal review sheet”. Some of the Journals I found in my search are:

1.       International Journal of Data Analysis Techniques and Strategies

ISSN: 17558050, 17558069

This Journal explains the topic in-depth with real world examples and in a way that non Analysts can also understand

2.       Advances in Data Analysis and Classification

ISSN: 18625347, 18625355

This Journal also explains the topic in a variety of ways especially from a statistically perspective

3.       Educational modelling language: modelling reusable, interoperable, rich and personalised units of learning.

ISSN: 1467-8535

The Authors of this Journal are Rob Koper and  Jocelyn Manderveld and it was first published in August of 2004. It is a series from the British Journal of Educational Technology with 9000 citations. The Journal weights in on the importance of introducing Technologies into educational system

4.       Journal: ACM transactions on management information systems

ISSN:2158-656X EISSN:2158-6578

This Journal deals with the development of Analytical technologies that can be used to analyse business data in a way that will provide knowledge of how to improve on business and market processes so as to be able to achieve better operational efficiency and customer satisfaction

5.       Bringing Analytics to the Masses

ISSN : 0018-9162

This Journal explains the possibilities available to the ordinary, non-technology oriented people. It shows that there are ready-made technology packages with in-built, so-to-speak, analytics capabilities

 

More information on the Journals can be found in the post “Journal review sheet”
Conferences list
1.       Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
ISBN: 978-1-920682-51-4
2.       Proceedings of the 2006 ACM/IEEE conference on Supercomputing
ISBN:0-7695-2700-0
3.       Behavior Informatics and Analytics: Let Behavior Talk
E-ISBN : 978-0-7695-3503-6 Print ISBN: 978-0-7695-3503-6
4.       Analytic estimation of subsample spatial shift using the phases of multidimensional analytic signals
ISSN: 1057-7149, EISSN: 1941-0042
5.       PALAPA - Distributed power generation for the development of underdeveloped villages in Indonesia
ISSN : 2155-6822 Print ISBN: 978-1-4577-0753-7

Full details on the conferences can be found in the post “Conferences”

Databases
Some of the databases I accessed are:
1.       Academic Search Premier (EBSCO): http://www.ebscohost.com/academic/academic-search-premier

2.       JSTOR:  http://www.jstor.org/


4.       Google Scholar:  http://scholar.google.com/

5.       Microsoft Academic Search:  http://academic.research.microsoft.com/

A list of the databases can be found in the post Databases

Additional resources
Additional resources I found useful was the DIT library. There are lot of journals available also online. Other materials that were of relevance were research articles available on most of the research databases, podcast and even videos on youtube from some of the authors of the journals are also available. There are also blogs like http://ws-dl.blogspot.ie/

 

 

 

 

 

 

 

 

 

 

 

 

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