This assignment is based on ICP 1. Based your research on 2,3,4 on the ICP 1 

Smith1

Zainudin Smith

Retrieving & Evaluating Electronic Information: 04:547:220:01

Professor Beard

September 26, 2022

Project Proposal

I tapped into my small network of Information Technology Professionals, I decided to choose my mentor Basil Bonney, as my client. He is 2021 Rutgers Alumnus, with over a half a decade of experience in the Tech field. He has experience working as Service Desk Analyst, IT support Specialist, Network Engineer, and IT Consultant (Technology Architect. Now he is currently for Capital One Bank as a Software Engineer as well as a Technical Writer for Bank of America. Along with IT certifications in AWS Solutions Architect Associate, AWS Certified Cloud Practitioner, ITIL Foundations V4, and CompTIA IT Fundamentals. During his time in the field and experience in numerous roles in IT, he has a great understanding in the field of tech. Currently at Capital One he is work on vulnerability management combatting infrastructure vulnerabilities, container vulnerabilities, OS vulnerabilities and Static vulnerabilities. His duties are to read through code and find said vulnerabilities and alert the application security team to make changes to it.

While speaking with Basil, one of the issues we discussed was infrastructure vulnerabilities. In fact, he recommended I research cyber-attacks. Cyber-attacks are malicious attempts to disable computers, steal data, and infiltrate networks. The vulnerabilities within infrastructure can result in hackers getting hold of sensitive information, corrupting data, and various defects effecting the system’s functionality. As I look into cyber attacks more, I found a lot of information on the topic, making this a great excellent area to research.

I plan on communicating further with Basil via video calls and text messages every weekend. Our first interview will be conducted this Saturday, October 1st. An email with my IC Project Introductory Letter has been sent to

basilnbonney@gmail.com

with all the requirements needed and deadline for this project.

ITI220 [Section 09] [Fall 2015] [09/30/15] – [Nikita Abraham], [ICP2 – IT Client Interview
Summary]

For the “Client Interview” portion of the IC Project, I met with my client for a face-to-

face meeting last Friday (September 25, 2015). As I mentioned in the previous assignment, my

client, Shibu Daniel, also happens to be my father. He currently works as a Vice President of

User Experience (UX) in Bank of New York Mellon. The entire interview took about 30 to 40

minutes to complete.

As an organization, Bank of New York provides investment services to various

individuals and institutions. These services primarily have to do with asset/wealth management

such as stocks, bonds, real estate and other similar securities. In addition to maintaining acquired

assets, BNY Mellon also provides trade execution services. Essentially, this means that if an

institution wants to buy an investment vehicle, BNY Mellon can act as their brokers and

consolidate the trade. As part of asset management, the company also acts as advisors, delivering

necessary financial advice and providing credit offerings (giving out loans) if necessary.

As such a large organization, the proprietary technology that BNY Mellon has developed

allows its clients to maintain and stay abreast of their assets. My father currently works under

“Client Technology Solutions” – a branch of the company’s massive IT department. In addition

to a UX team, there are also Product Managers, Project Managers, Business Analysts, and

Quality Assurance teams working within this particular branch. As a whole, the primary purpose

of the “Client Technology Solutions” sector is to support multiple lines of business by providing

technology solutions to both internal and external clients.

While the scope of what a UX designer does will vary from company to company, my

father’s primary responsibilities include conceptualizations for technology solutions, low and

high fidelity mockups and prototypes, running usability tests, and conducting and analyzing user

research. While conducting user research, the individuals who represent BNY Mellon’s clients

include CFOs (Chief Financial Officers), Operations, Accountants, Portfolio Managers, and

Sales Assistants among others. As mentioned, his team supports multiple lines of business –

some include Asset Servicing, Corporate Trust, and Treasury Services – within the company and

to external clients of the company. The UX team is an integral part of the IT industry. In fact, all

of the solutions or tools that my father’s team offers are all technology-based.

As an international investment organization, BNY Mellon has a significant amount of

data about client activities flowing in regularly. Understanding, organizing, and making use of

this data is synonymous with the company’s own success. While data is constantly being used to

provide clients with the best solutions for asset and wealth management, the real insights lie in

using current data to make educated predictions about the future.

As a UX designer and a member of the “Client Technology Solutions” sector, my father’s

biggest information need is most closely related to Big Data. For preliminary understanding, he

wanted me to research the following topics within the scope of Big Data: what is Big Data and

why it is important, how can companies use visualizations to organize data, how have companies

done so (real-world examples or case studies), and what frameworks or software are available for

data processing in this way. The information gathered will be useful in helping my father

understand how to represent large data sets better, how to organize data so that it can be

understood, and how to use the organized data when designing technology solutions. In addition,

insights can be made into consumer behavior as well as risk mitigation.

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ITI220 [Section 09] [Fall 2015] [10/14/15] – [Nikita, Abraham], [ICP3–Annotated Bibliography]

Introduction

My client, Shibu Daniel, currently works as Vice President of User Experience (UX) in

Bank of New York Mellon (BNY Mellon). As an investment company with global reach, BNY

Mellon has a significant amount of data about client activities. Understanding, organizing, and

using data to make educated decisions is essential to the company’s success. As a UX designer

and a member of the “Client Technology Solutions” sector of BNY Mellon, my client’s

information need is most closely related to Big Data. For preliminary understanding, he wanted

me to research the following topics within the scope of Big Data: what is Big Data and why it is

important, how can companies use visualizations to organize data, how have companies done so

(real-world examples or case studies), and what frameworks or software are available for data

processing in this way. The information gathered will be useful in helping my client understand

how to represent large data sets more effectively, how to make use of BNY Mellon’s current data

analytics software, and how to organize data when designing technology solutions. In addition,

insights can be gained on consumer behavior, business models that work well with data analytics

implementation, and in risk mitigation.

For relevant but industry-specific articles, I used the Rutgers University Libraries

Articles+, a resource offered by the University that searches multiple databases at once, and

specifically, the ScienceDirect and Business Source Premier databases. To find articles

specifically in the field of business and IT, rather than health and sciences, I used the

“Publication” and “Database” section to limit the articles to the aforementioned disciplines.

Considering the ever changing nature of the IT industry, I used the “Publication Date” tab to

only bring up articles or resources within the last ten years. In doing so, all of my articles seemed

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to still be relevant to the industry. I used Google Scholar briefly, but many of the articles only

included the publication information, not the actual text. In addition, several of the resources

were outdated. Google’s search engine yielded several extremely helpful resources, even if they

were not scholarly, using keywords with quotations such as “big data” with other keywords such

as: business AND management. Many of the articles I found online were from reputable online

magazines within the IT field. With a combination of the resources mentioned above, I was

successfully able to find articles and sources that pertained to my client’s information need.

Annotated Bibliography

Childs, H. (2013). VisIT: An end-user tool for visualizing and analyzing very large data.
eScholarship University of Alabama. Retrieved from
http://escholarship.org/uc/item/69r5m58v#page-7.

This particular article discusses the tool, VisIT that was originally developed in response to Big
Data processing. It is an open source tool that focuses on three main functions: enabling data
understanding, providing scalable support for large sets of data, and creating a robust product
that is simple for the end user. In addition, the paper outlines the software’s design, architecture,
and user interface concepts. In addition to the software’s initial successes, the author also
outlines companies who have made use of VisIT.

The article was found on eScholarship, an open-access repository of scholarly sources under
California Digital Library. Even though it is not in a traditional database, the material itself is
scholarly and the original study was published in a scholarly journal. Childs’ and his colleague’s
work was also supported by the U.S. Department of Energy; the document was prepared as an
account of the work sponsored by the United States Government. In addition to the
aforementioned points, the comprehensive list of references provided at the end emphasizes the
author’s credibility. While the source does not cover a wide variety of topics as some of the other
articles do, this particular case study fulfills my client’s need for real world examples of
companies who have implemented visualization software, or have made data processing
software. Depending on the long-term goals for my client’s team, perhaps the insights gained
from this case study could provide recommendations for BNY Mellon’s data processing tools.

Choudhury, S. (2014). The future of information dashboards. UX Magazine. Retrieved from

https://uxmag.com/articles/the-future-of-information-dashboards

The entire article focuses on information dashboards as a means of visualizing large data sets.
There are five primary categories that she divides the article into: (1) dashboards offered by

http://escholarship.org/uc/item/69r5m58v#page-7

The Future of Information Dashboards

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independent software vendors as part of their data analytics tools, (2) the dashboard for the user
on the go (mobile smartphones and tablets), (3) dashboards with high location intelligence
quotients, (4) dashboards for real time data and (5) dashboards future predictive data.

Shilpa Choudhury has published a number of articles in other well-known blogs such as Wired,
ReadWrite, and Visual.ly. In addition, UX Magazine is a well-known online magazine that
focuses on experience design. Practitioners and industry leaders who are well versed in the UX
field write the majority of their articles. At one point Choudhury mentioned nine analytic
predictions made by IIA (The International Institute for Analytics) for 2014. While the
information has not been updated, many of the elements from the previous predictions were
repeated or relevant for the following year. This article is relevant for my client because it
provides examples of different kinds of dashboards (a specific visualization), along with real-
world examples of companies that have implemented them. By analyzing this article, my client
will be able to assess what his user needs are, what his team is trying to accomplish, how to
execute it, and additional resources.

Franks, B. (2014). Making big data actionable: How data visualization and other tools change the

game [Webinar]. Harvard Business Review. Retrieved from
https://hbr.org/2014/05/making-big-data-actionable-how-data-visualization-and-other-
tools-change-the-game

In this webinar, hosted by Harvard Business Review (HBR), Franks begins by defining big data
and discussing how visualizations were used in the past to aid cognition. He transitions to
modern day, outlining how data visualizations have changed according to the needs of the
modern user as well as advances in technology. Today, customized visualizations are tied to a
specific analysis – in that way, modern visualization tools must be interactive, interconnected,
collaborative, flexible and enabling. Franks’ greater point is essentially that businesses need to
use data to support decision making, rather than just reporting what occurred – this calls for a
change in methodology.

Perhaps it is the nature of a webinar session, but there were no direct links or references provided
at the end of the presentation. Nonetheless, Franks does an excellent job maintaining currency by
discussing contemporary software vendors, companies who have implemented visualizations,
and other relevant anecdotes. He also works for Teradata, a company that provides services in
data warehousing, big data and analytics, and marketing applications. His experience within the
field of big data can clearly be seen. In addition, the magazine that hosted the webinar, HBR, is a
reputable organization under Harvard University that provides a bridge between academia and
various enterprises. As such, the articles are reliable but also relevant to the industry. I would
recommend this webinar primarily because it emphasizes a change in the current business model
(the need to make decisions, not just analyze them). Franks provides practical advice as an
industry professional that would be relevant to my client’s need for integrating visualizations
into big data processing.

Hoffer, D. (2014). What does Big Data look like? Visualization is key for humans. Wired

Magazine. Retrieved from http://www.wired.com/insights/2014/01/big-data-look-like-
visualization-key-humans/

https://hbr.org/2014/05/making-big-data-actionable-how-data-visualization-and-other-tools-change-the-game

https://hbr.org/2014/05/making-big-data-actionable-how-data-visualization-and-other-tools-change-the-game

http://www.wired.com/insights/2014/01/big-data-look-like-visualization-key-humans/

http://www.wired.com/insights/2014/01/big-data-look-like-visualization-key-humans/

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The basis of Hoffer’s entire article rests on the idea that big data needs to be more human. In
developing his points, he establishes that information visualization is a means of wayfinding, not
simply a means of organizing data. In doing so, he also reiterates the need for data visualizations
to be comprehensive (displaying multiple levels of information according to user needs), to be
scalable, and to be simple. Hoffer provides several examples of companies who are successfully
humanizing big data and how they have implemented the considerations mentioned above. At the
end of the article, his call to action seems to be that since big data itself is constantly evolving,
the technology we use to organize that data must be robust enough to process it – just like every
other piece of software the IT industry uses.

The article was written in 2014 and is still very current considering the real world examples that
Hoffer mentions (such as Google Maps). That being said, each of the sources that he mentioned
had a link to the original article or a related source that provided further information. When the
article was first written, the author was the head of User Experience at Declara, but is currently a
Design Director at McKinsey & Company. His experience is well translated in the article itself.
This would be a very relevant source for my client considering that Hoffer has a background in
User Experience and the article seems to focus on data processing within that particular subfield
of IT. The article as a whole is a good baseline for the technology necessary to implement data
processing through information visualizations.

Intel. (2013). Big data visualization: Turning big data into big insights [Web document]. Intel.

Retrieved from http://www.intel.com/content/dam/www/public/us/en/documents/white-
papers/big-data-visualization-turning-big-data-into-big-insights

The paper starts off with an overview of the current IT landscape as well as the problems that are
leading industry professionals to data discovery tools such as information visualization.
Essentially this new form of business intelligence involves integrating data from a variety of
user-based sources that are then displayed in an interactive and easily understood format. The
author(s) describe(s) how challenges with big data have to do with its volume, variety and
velocity (the three V’s of big data) as well as the increasing availability of mobile devices. The
paper then outlines key features of visualization-based data discovery, how it addresses the
aforementioned challenges, how to protect data quality, and how to establish data governance
policies.

While no author is provided, the source document is from Intel – a well-known company that has
always stood at the forefront of technological innovation. In addition to providing a
comprehensive list of endnotes, the article mentions the Gartner BI (business intelligence)
Summit often. Gartner is a leading information technology research and advisory company; the
Summit meeting is an important event within the industry. The inclusion of such sources
reiterates the document’s reliability and credibility. This is relevant to my client because it
provides a list of necessary conditions from a business perspective, including security.
Considering that my client works in the banking industry, security is an important part of data
processing and risk mitigation.

http://www.intel.com/content/dam/www/public/us/en/documents/white-papers/big-data-visualization-turning-big-data-into-big-insights

http://www.intel.com/content/dam/www/public/us/en/documents/white-papers/big-data-visualization-turning-big-data-into-big-insights

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Ishwarappa, & Anuradha, J. (2015). A brief introduction on big data: 5Vs characteristics and
Hadoop technology. Procedia Computer Science, 48. Retrieved from ScienceDirect
database, through Rutgers University Libraries Articles+.

This paper discusses the 5V’s of big data (volume, velocity, value, veracity, and variety) in
detail. Moving forward, the paper also looks at challenges that companies face when handling
big data, namely, challenges involves capturing, analyzing, storing, searching, sharing,
visualization, and transferring data. The article primarily features Hadoop, an open source
distributed data processing tool that is being used by many industry professionals.

This article was found on the ScienceDirect database, making it a reliable and accurate source.
Considering that Apache’s Hadoop is still a popular solution to companies for their information
needs, the article is also timely and current. This would benefit my client by going into detail
about Hadoop and its data processing frameworks. His own team can implement similar
frameworks whether they use in-house software or a third party source.

Keahey, A.T. (2013). Using visualization to understand big data. IBM Software Business

Analytics. Retrieved from https://tdwi.org/~/media/E3362B4A0E184F75AB29403
676C4C3CD .

This article discusses how businesses can make use of visualizations when making sense of the
following five categories of user needs: (1) simple customer data (2) customer data involving
time (3) customer sentiment, which is essentially how people feel about the company (4)
measuring customer relationships and (5) customers at different levels. In each of these five
categories, the author gives one or two examples of the most effective kind of visualization for
that particular need. For example, when measuring customers at different levels, a hierarchal
visualization conveys the information better than other forms. In addition to the simple data
visualizations that the author advises his reader to use, Keahey also promotes IBM’s data
analytical services.

As far as accuracy and credibility, this particular article is one of several resources that IBM
shows to potential clients who are interested in IBM’s data processing services. As such, I can
see that the information is well researched and up-to-date to fit the current IT environment; it
even has a list of references at the end of the article. In addition, the author is one of IBM’s
Visualization Science and Systems experts, making him a reliable and knowledgeable source. I
can see this being useful for my client in addressing his information need for what kinds of
visualizations can be used to display data. Not only does Keahey showcase several visualization
techniques, he also clearly addresses which situations each of them would be appropriate for.

LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., & Krushwitz, N. (2011). Big Data,

analytics and the path from insights to value. MIT Sloan Management Review, 52(2).

Retrieved from Business Source Premier database, through Rutgers University Libraries
Articles+.

The purpose of this article is to answer the question, how are organizations using analytics to
gain insight and make decisions from big data? Essentially, there were three main findings from

https://tdwi.org/%7E/media/E3362B4A0E184F75AB29403%20676C4C3CD

https://tdwi.org/%7E/media/E3362B4A0E184F75AB29403%20676C4C3CD

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the report: that top organizations are more likely to apply analytics to activities, that managerial
and cultural aspects are the biggest challenges to implementing analytics, and that being able to
visualize data in different ways is increasing in overall value for the company. The article goes
into detail about a new methodology for adopting analytics within an organization, along with
several recommendations from a business perspective.

Although the article was not found on a database, MIT Sloan Management Review is a reliable
and dependable resource, known for their well-researched articles and relevant topics. In order to
better understand the challenges that companies have faced and have overcome for analytics,
MIT Sloan Management Review along with IBM Institute for Business Value conducted a
survey with more than 3000 industry professionals (business managers, analysts, and
executives). In addition both organizations interviewed a number of academic experts and
subject matter experts from various related disciplines. In doing so, the article provides a holistic
but specific viewpoint. All of the authors have a significant amount of experience in the Business
Analytics realm of IT. It would be relevant to my client’s information need for business models
that work with analytics implementation. The recommendations would provide practical business
advice in how to overcome common problems with using visualizations in big data processing.

Minelli, M., Dhiraj, A., & Chambers, M. (2013). Big data, big analytics: Emerging business

intelligence and analytic trends for today’s businesses [ebook]. Wiley CIO Series.
Retrieved from eBook Collection database, through Rutgers University Libraries
Articles+.

This particular eBook provides a holistic approach to big data. The first couple of chapters
consider what big data is and why it is relevant, along with some industry examples of it in
action. Considering my client’s needs, the third chapter on “Big Data Technology” would be the
most beneficial. This particular chapter goes into detail about Hadoop, a well-known data
analytics company (including their business model, critical components, and overall goals). The
chapter also considers the importance of data discovery when compared to more traditional data
processing models. The book is written for business and IT professionals with the purpose of
helping such individuals integrate big data analytics within their own organization.

Combined, the authors have years of experience related to business analytics solutions,
technology-based solutions, and related decision sciences. In addition to their expertise, the notes
or references at the end of each chapter, and its addition in the EBSCOHost database all reiterate
the eBook’s credibility. The article will be relevant in addressing the client’s need for different
ways to visualize data, as well has the need to outline business processes (necessary parties,
technologies, and management models) involved when implementing a data visualizing software.
Not only are the topics expansive, they are explained in detail.

Visualizations make big data meaningful. (2014). Communications of the ACM, 57(6), 19-21.

Retrieved from Business Source Premier database, through Rutgers University Libraries
Articles+.

The author of this article provides a unique perspective by describing data visualization as an
expressive medium, where ultimately the “artist” or data analyst can choose what pieces of

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information to show or withhold from the viewer. Moving forward, the article as a whole
discusses advances in technology that set the stage for more effective data visualization practices
such as the availability of storage, the efficiency of cloud computing, and the rise of software
tools such as Apache Hadoop – all of which, simplify data processing. Other important aspects
that the article mentions include the importance of “humanizing” these visualizations, and
looking for new and more dynamic ways to display data outside of simple charts and graphs.

While an author is not provided, the article was found on the Business Source Premier database
and published in the academic journal Communications of the ACM, making it highly reputable.
The article itself was written in 2014 and none of the technologies or techniques mentioned are
outdated – which is to be expected considering the recency of big data in general. Even though it
does not address the business aspect of big data processing, the article will be relevant in
describing how data visualizations have changed to fit the current IT environment and what
advances are now possible. The details mentioned in this article are not expansive in its
coverage, but it will fulfill the client’s information need for general information about data
visualizations, what can be accomplished with current technologies, as well as the future of big
data.

ICP 2:

This assignment has already been started just finished the assignment

In this assignment, students will

 

interview their selected IT professionals (client) and have an in-depth discussion about the client’s job AND his/her information need on a topic related to his/her job and then write a 
2-page “Interview Summary”paper (double-spaced) about their interview with the IT client. 

Note: The interview is to focus on the IT client’s job and a specific “information need” he/she has related to the job – not a personal discussion about the client’s family, education, hobbies, interests, etc. Once the information need has been identified and discussed, you (the student consultant) will research and locate information sources to support the client’s information need by preparing an Annotated Bibliography to submit to the client (and your instructor) for their review and feedback in IC Project Assignment 3.  
The interview with the IT professional (client) is recommended to take place 
in-person as a “professional” meeting at the IT Professional’s site. If this is not possible, the interview may take place informally with the IT professional (client) through a phone call, email, or synchronous meeting (e.g., Skype, Google Hangout, Zoom, etc.); however, texting the client is not an acceptable form of communication for the interview.
The interview with the IT professional (client) should include a discussion of the following topics and be included in the Interview Summary paper: (

each bullet should be a separate paragraph
)

· Identify/explain how the interview took place (in-person, telephone, conferencing?) and for what length of time (e.g., 15 mins., 30 mins., 1 hour?)  

· IT professional’s (client) name and organization where he/she works 

· IT professional’s (client) job position/title in the organization 

· Background information about the organization (what is the organization’s primary business, service, or function?) 

· Background information about the IT professional’s job including:

· Department where he/she works in the organization and its primary strategic goal/mission in the organization.

· Client’s job description, job responsibilities, how the position relates to “IT” (information technology), and whom he/she services or supports in the organization and in what capacity. 

· Background information about the client’s topic and information need (what is the client looking to understand, learn about, or otherwise become familiar with a topic relevant to his/her work role? How will these information sources be used?). Did you refine the IT client’s information need (or change to a different information need) since the IC Project Proposal in order to identify a more feasible topic that would produce relevant information sources when conducting searches? (explain)

ICP 3:

The Annotated Bibliography is to be 5-7 pages
 in length following APA guidelines and include at least 10 electronic information sources

Assignment Requirements

Based on the interview with the IT professional (client) to discuss his/her information need related to the job, the (student) Consultant will 
search, locate, and evaluate at least 
10 reputable and relevant electronic information sources that are 
varied (e.g., websites, journal articles, news stories, etc.) using search engines and databases. At least 
TWO of the 
10 sources must be obtained using the 
Rutgers University Libraries databases (see below for a list of “Rutgers University Libraries Research Resources” for the IC Project). 

Important! Follow these guidelines:

· Search and locate at least 
10 reputable, and relevant sources (that meet the 7 evaluation criteria: accuracy, currency, authority/credibility, quality, objectivity, coverage, relevance – 
more on this below) that are 
varied (e.g., websites, journal articles, news stories, database articles, etc.). The sources may not be from one predominant publication or author. 

· Use search techniques you’ve learned thus far (Boolean operators, keywords, phrasing with quotes, parentheses, and/or ordering) to search and locate your 10 information sources using search engines and academic library databases.

· Including at least 
two sources from Rutgers Libraries databases (see list of library databases below; Google Scholar should not be used as one of the two library databases, but may be used as another type of information source). 

· All information sources (from search engines AND library academic databases) must be obtained from 
“full-text articles” (not just article “abstracts”) so you can properly evaluate them.

· All information sources must be 
electronic sources (i.e., not print-based or point to “books” found on the web unless the entire 
e-book is available online for your IT client’s review). 

· Include only those information sources that you 
RECOMMEND for your IT client’s information need (do not include sources that you have evaluated and have found to be lacking based on the evaluation criteria – see below).

· Citations and annotations are to follow 
APA style/format (6th edition). Provide 
URLs for all openly available online sources and 
names/titles of databases.
 When using Rutgers Libraries databases, include the 
name/title of the database at the 
end of the citation (Retrieved from XXX database) – do not include the URL for the purposes of this assignment. See below (Citing Sources in an Annotated Bibliography using APA Guidelines) for assistance in proper style and formatting for APA citations.

Please read the instructions below carefully, which will help you succeed in completing this assignment.

Rutgers University Libraries Research Resources

In addition to using search engines (e.g., Google, Google Scholar, Yahoo, Bing, etc.), the following resources are academic databases/indexes, search tools, and IT-related resources through Rutgers University Libraries that can assist you in doing research to complete ICP Assignment 3 (i.e., searching, locating, evaluating information sources for an information need, and then preparing an Annotated Bibliography):

Specific Academic Databases: (

*** use at least TWO databases below to find at least TWO information sources***
)  

·

Academic Search PremierLinks to an external site.

·

ACM Digital Library Links to an external site.

(Association for Computing Machinery)

·

Business Source PremierLinks to an external site.

·

Compendex Links to an external site.

(Engineering Village)

·

Library and Information Science Abstracts Links to an external site.

(LISA/ProQuest)

·

Library Literature and Information Science Full Text Links to an external site.

(H.W. Wilson)

·

Library, Information Science & Technology Abstracts Links to an external site.

(LISTA)

 Aggregated IT-Related Resources:

·

Rutgers University Libraries Articles  Links to an external site.

(Aggregator that searches multiple databases at once when you enter search criteria)

·

Information Technology-Specific Databases/IndexesLinks to an external site.

·

Information Technology and Informatics (ITI) Library Tutorial Links to an external site.

 (for assistance in all aspects of research related to ITI)

·

Library and Information Science LibGuideLinks to an external site.

Note: Go to: 

http://www.libraries.rutgers.edu/indexes Links to an external site.

to view a list of all Rutgers Libraries Indexes and Databases listed alphabetically. These databases are restricted resources for Rutgers students, faculty, and staff only (free-of-charge). Please be aware that if students want to access these restricted resources off-campus, they must 

log-in Links to an external site.

 using their 
Rutgers NetID and Password

 

After evaluating each electronic information source, students will make a determination as to whether the source is to be recommended to the IT Professional (based on the evaluation criteria) and included as one of the 10 sources in the Annotated Bibliography. See APA Resources below. 
Only those information sources that you recommend should be included in your Annotated Bibliography.


Writing an APA-Style Annotated Bibliography of Evaluating Electronic Information Sources

After evaluating and selecting the 
10 electronic information sources from 
“full-text” articles that you are 
recommending to the IT Professional, students will prepare/write an 
Annotated Bibliography (called a “Reference List”) in a 
Word document that is 
5-7 pages in length, following 
APA style and guidelines (6th edition) in alphabetical order by author’s last name and include the following:

·
Introduction – At the beginning of the Annotated Bibliography, include: (paragraphs; double-spaced)

· Your IT client’s name, position, and company or organization. 

· Brief description of your IT client’s information need.

· Brief description of the 
search strategies (search techniques and queries), search engines, and subscription databases (Rutgers Libraries) you used to research and formulate your Annotated Bibliography, and a statement as to whether you succeeded in locating the required 10 relevant and reputable information sources for the IT professional’s (client) information need pertaining to the job. 

·
EACH annotation entry is to include the following: (single-spaced with APA citation format; skip a line between the citation and summary and evaluation of each source – see
 SAMPLE ANNOTATION ENTRY below)

·
Source citation (as the heading of the annotation) following the appropriate APA format for different types of sources (e.g., journal article from a subscription/library database, news article from a website, online periodical from a website, etc.).  
Indent the second line of the citation (as needed). Provide 
URLs for all openly available online sources and the 
name of the database for academic databases that you used (after the “Retrieved from” at the end of the citation). 

·
Descriptive Annotation about the information source:  (in paragraph form)

·
Summary of the article and author (
one paragraph)

· Who wrote the article (person or organization/site) 

· Summary of the article content 

· Purpose of the article

·
Your evaluation of the source 
(include the 7 criteria; one paragraph)
(Please ”
bold” each evaluation criterion as you discuss in the paragraph – see sample below. Example: “The article is of high
 quality because a bibliography of sources is provided at the end.” This will help you make the connection between each evaluation criterion and your explanation/rationale.)

· Accuracy
(Provide the rationale in your evaluation: is the information accurate? are there any mistakes or contradictions in the content?) 

· Currency
(Provide the rationale in your evaluation: is the information timely and current especially important for technology topics? does the site or article include the date it was published and/or a date as to when it was updated/revised?) 

· Authority/credibility
(Provide the rationale in your evaluation: what are the author’s/editor’s credentials or background and/or the organization’s/site’s purpose? Is the author or organization/site a recognized, reputable, and reliable authority in the field? Is the URL extension .edu (education), .org (non-profit), .gov (government), or is it a .com or .net (business)? 

· Quality
(Provide the rationale in your evaluation: are the sources of the article documented in footnotes or in-text citations and/or include a bibliography at the end? is the information based on evidence or research? Are there links to more information and do the links work?) 

· Objectivity
(Provide the rationale in your evaluation: does the author or organization’s site or article give a balanced viewpoint and/or with multiple perspectives or is it biased based on personal opinion)? 

· Coverage
(Provide the rationale in your evaluation: is the information on the site or article comprehensive enough (or contain key information) for the information need? Does the site or article cover too much or too little generally? Is important information missing?) 

· Relevance to the IT Professional’s topic or information need
(Provide the rationale in your evaluation: how is the information source directly relevant, important, or useful to the IT client’s topic and information need?) 

Note: If you do not recommend the information source for the IT client’s information need as a result of your evaluation, then 
find a different information source. All information sources in your Annotated Bibliography are those that you recommend and have “passed” your evaluation.

TIP! Each “Annotated Bibliography” entry should look similar to the sample below – please 
“bold” each of the 7 evaluation criteria as shown in the example:

ICP 4:

IC Project Reflection (double-spaced; paragraphs) – students will reflect on their IC Project experience and respond to the following questions:

· What was your overall experience in undertaking the Information Consultant Project? Was it a positive/meaningful learning experience? Please explain.

· What value did you find in partnering with an IT professional in the field, which provided a real-world “experiential” experience (learning through experience)? Were there benefits of going out of the “classroom” in this project? Please explain.

· What did you learn about the role of an “information consultant” and the role of a “client” in the IC Project? Were there any unexpected challenges? If so, how did you deal with any challenges? Please explain and give examples. 

· What did you learn about searching, retrieving, and evaluating information sources using search engines and databases? Also, what did you learn about preparing an Annotated Bibliography and writing a Final Report for the client to review? Do you feel you have gained knowledge and developed practical information skills that you didn’t have previously? Please explain and give examples.

Zainudin Smith

Retrieving & Evaluating Electronic Information: 04:547:220:01

Professor Beard

October 3, 2022

Summary of IT Client Interview

The interview with my IT client, Basil Bonney, was conducted over a video call on Saturday October 1st. I met Basil my freshman year of college and he has been not only a friend but a mentor to me as well. The interviews spanned from about 20 to 30 minutes, in which I was able to gain better insights and information on the different types of cyber-attack. We chose to conduct our video over a video conference so he can not only verbally explain but also demonstrate to me how certain thing our done because we weren’t able to meet in person.

Basil currently is working for Capitol One Bank in Houston, Texas as a software engineer. Capitol One is one of the largest American banks holding company, issuing credit cards, auto loans, banking, and saving accounts. The company utilizes online banking by giving their customers the ability to manage their money, communicate with representatives, and protect users’ data electronically.

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