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If we take all 500 key phrases from OnePetro and comprise them with 48667 key phrases from Scopus, we get the following intersection (119 terms) which are enough for domain description:

Table 2 If we take all 500 key phrases from OnePetro and comprise them with 48667 key phrases from Scopus, we get the following intersection (119 terms) which are enough for domain description:

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Table 1. Comparison of top 40 Key Phrases from files: OnePetro-Words clusters by textextract.tsv and KeyPhrases_scopus- titles-abstracts.tsv
Table 1. Comparison of top 40 Key Phrases from files: OnePetro-Words clusters by textextract.tsv and KeyPhrases_scopus- titles-abstracts.tsv
Table 2. Comparison top 30 Key Phrases of "All Key Phrases AND '‘analytic' filter" from files: 'OnePetro-Words clusters by textextract analytics.csv' and 'KeyPhrases_scopus-titles-abstracts-analytic.tsv'
Table 2. Comparison top 30 Key Phrases of "All Key Phrases AND '‘analytic' filter" from files: 'OnePetro-Words clusters by textextract analytics.csv' and 'KeyPhrases_scopus-titles-abstracts-analytic.tsv'
Remark: Common topic: "Digital Transformation AND Analytic" (Scopus) is more business and cloud oriented compare to petroleum domain. cyber-physical systems data analytics: in OnePetro search for "cyber-physical systems data analytics" has returned 0 results; in OnePetro search for "cyber-physical systems" has returned 22 results; search for "cyber-physical" has returned 35 results.
Remark: Common topic: "Digital Transformation AND Analytic" (Scopus) is more business and cloud oriented compare to petroleum domain. cyber-physical systems data analytics: in OnePetro search for "cyber-physical systems data analytics" has returned 0 results; in OnePetro search for "cyber-physical systems" has returned 22 results; search for "cyber-physical" has returned 35 results.
Table 3. Comparison top 40 Key Phrases of "All Key Phrases AND "data" filter" from files: 'OnePetro-Words clusters by textextract data.csv' and 'KeyPhrases_scopus-titles-abstracts-data.tsv'
Table 3. Comparison top 40 Key Phrases of "All Key Phrases AND "data" filter" from files: 'OnePetro-Words clusters by textextract data.csv' and 'KeyPhrases_scopus-titles-abstracts-data.tsv'
Definition: Qualitative data consist of words, observations, pictures, and symbols. Qualitative Data Analysis (QDA) refers to the processes and procedures that are used to analyze the data and provide some level or explanation, understanding, or interpretation. Qualitative data analysis typically occurs simultaneously with the data collection. Therefore, meaning and understanding often develop slowly over time in a non-linear fashion as the project progresses.
Definition: Qualitative data consist of words, observations, pictures, and symbols. Qualitative Data Analysis (QDA) refers to the processes and procedures that are used to analyze the data and provide some level or explanation, understanding, or interpretation. Qualitative data analysis typically occurs simultaneously with the data collection. Therefore, meaning and understanding often develop slowly over time in a non-linear fashion as the project progresses.
Table 4. Comparison top 40 Key Phrases of " all Key Phrases AND "platform" filter" from files: 'OnePetro-Words clusters by textextract platform.csv' and 'KeyPhrases_scopus-titles-abstracts-platform.tsv'
Table 4. Comparison top 40 Key Phrases of " all Key Phrases AND "platform" filter" from files: 'OnePetro-Words clusters by textextract platform.csv' and 'KeyPhrases_scopus-titles-abstracts-platform.tsv'
Remark: The concept of "platform" are important for both petroleum and common domains, in petroleum domain the "IOT" term is more frequent but "analysis" is less frequent. The concept "cyber-physical systems data analytics" incorporate both "IOT" and "analysis".
Remark: The concept of "platform" are important for both petroleum and common domains, in petroleum domain the "IOT" term is more frequent but "analysis" is less frequent. The concept "cyber-physical systems data analytics" incorporate both "IOT" and "analysis".
Table 5. Comparison top 30 Key Phrases of " All Key Phrases AND "image" filter" from files: 'OnePetro-Words clusters by textextract image.tsv' and 'KeyPhrases_scopus-titles-abstracts-image.tsv'
Table 5. Comparison top 30 Key Phrases of " All Key Phrases AND "image" filter" from files: 'OnePetro-Words clusters by textextract image.tsv' and 'KeyPhrases_scopus-titles-abstracts-image.tsv'
Remark: The concept of "image" rarely meet in 'digital transformation AND OnePetro! but 295 times in file: 'KeyPhrases_scopus-titles-abstracts-image.tsv'. There is high potential to transform experience in common digital image processing to petroleum domain
Remark: The concept of "image" rarely meet in 'digital transformation AND OnePetro! but 295 times in file: 'KeyPhrases_scopus-titles-abstracts-image.tsv'. There is high potential to transform experience in common digital image processing to petroleum domain
Table 6. Comparison top 30 Key Phrases of "All Key Phrases AND "remote" filter" from files: 'OnePetro-Words clusters by textextract remote.tsv' and 'KeyPhrases_scopus-titles-abstracts-remote.tsv' Remark:
Table 6. Comparison top 30 Key Phrases of "All Key Phrases AND "remote" filter" from files: 'OnePetro-Words clusters by textextract remote.tsv' and 'KeyPhrases_scopus-titles-abstracts-remote.tsv' Remark:
Figure 2. The Network of keywords co-occurrence build by VOSviewer using:
Figure 2. The Network of keywords co-occurrence build by VOSviewer using:
Remark: On my opinion, KH Coder 3 gives the most attractive results compare to VOSviewer and authors and KW+ Results:
Remark: On my opinion, KH Coder 3 gives the most attractive results compare to VOSviewer and authors and KW+ Results:
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