Dissertation: BIG DATA GOVERNANNCE AND INFORMATION ETHICS IN RESEARCH INSTITUTIONS
I had a meeting with my PhD dissertation professor and we refined the research question to be as follows " What topics are addressed the most by scholars on Big Data Governance , ethical use of information, and the overlap of the two ? "
The professor asked as the next stage of the brainstorming for the dissertation is to write up a quick 5 page PRECIS paper.
A "precis" is kind of like an Abstract; however, rather than summarizing a study, it is presenting an idea. Again, precise details are not really necessary. You "converse" through an idea in order to show you understand what a
what the topic can entail, and what your end goal will be.
Do not be concerned (yet) about how factual or exact it sounds at the moment. Since it is a precis, it is strictly aspirational .
The key 4 element of a PRECIS are:
1- Objectivity: Reflects the author's intent without adding personal interpretation or critique.
2 - Conciseness: Omits examples, metaphors, and filler, focusing only on the core arguments.
3 - Structure: Mirrors the original text's logical flow and argument structure.
4 - Own Words: Rephrases ideas rather than copying text, though it should use key terminology from the original.
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So for this order you only need to use 5 sources and NO more. The professor doesn't need proof of how smart someone is for this paper , he said, he just wants you to use natural language.
* The goal of the dissertation is to "identify something that is missing" meaning try to explain how this dissertation will contribute to the world of research by writing about a topic that doesn't have much prior research.
* You are looking for patters when you do the dissertation
* This dissertation will use Connecting Content Analysis with Bibliometrics:
(Bibliometrics: The statistical analysis of books, articles, or other publications, often used in library and information science to map research trends and citation patterns. Bibliographical Coupling & Co-citation Analysis: Techniques that identify clusters of documents by mapping how they refer to each other.
Inductive Approach: Bibliometrics often uses an inductive approach, establishing categories based on the documents studied, rather than using pre-determined, deductive categories.
Distinction: While bibliometrics focuses on the metadata and citations of publications, content analysis focuses on the thematic content inside those publications.)
* explain what you will "contribute" by doing this dissertation topic
* how this dissertation research can help someone in the future
* what did you notice when you researched the topics so far
* what are you curious about in this topic
* why is this dissertation topic relevant
* why are you doing this topic ?
* this is NOT a literature review
* this is NOT an abstract
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above are all the notes and suggestions from the professor for the PRECIS. I trust your judgement to use them as you please as you always do excellent quality work. After the professor reviews the PRECIS with me the next step will be working on a dissertation outline.