This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data.
Without sufficient information about researchers’ data sharing, there is a risk of mismatching FAIR data service efforts with the needs of researchers. This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data. The advancement of FAIR data would benefit from novel methodologies that reliably examine data sharing at the level of multidisciplinary research organisations. Studies that use CRIS publication data to elicit insight into researchers’ data sharing may therefore be a valuable addition to the current interview and questionnaire methodologies.
Data was collected from the following sources:
All journal articles published by researchers in the computer science department of the case study’s university during 2019 were extracted for scrutiny from the current research information system. For these 193 articles, a coding framework was developed to capture the key elements of acquiring and sharing research data. Article DOIs are included in the research data.
The scientific journal articles and theirs DOIs are used in this study for the purpose of academic expression.
The raw data is compiled into a single CSV file. Rows represent specific articles and columns are the values of the data points described below. Author names and affiliations were not collected and are not included in the data set. Please, contact the author for access to the data.
The following data points were used in the analysis:
Data points
Main study types
Literature-based study (e.g. literature reviews, archive studies, studies of social media)
yes/no
Novel computational methods (e.g. algorithms, simulations, software)
yes/no
Interaction studies (e.g, interviews, surveys, tasks, ethnography)
yes/no
Intervention studies (e.g., EEG, MRI, clinical trials)
yes/no
Measurement studies (e.g. astronomy, weather, acoustics, chemistry)
yes/no
Life sciences (e.g. “omics”, ecology)
yes/no
Data acquisition
Article presents a data availability statement
yes/no
Article does not utilise data
yes/no
Original data was collected
yes/no
Open data from prior studies were used
yes/no
Open data from public authorities, companies, universities and associations
yes/no
Data sharing
Article does not use original data
yes/no
Data of the article is not available for reuse
yes/no
Article used openly available data
yes/no
Authors agree to share their data to interested readers
yes/no
Article shared data (or part of) as supplementary material
yes/no
Article shared data (or part of) via open deposition
yes/no
Article deposited code or used open code
yes/no
The most gender diverse computer science department in the United Kingdom, based on both academic and research staff, was Aberystwyth University in 2020, with **** percent women. While this is the highest percentage of female computer science staff among UK universities, this is still a strikingly low figure, highlighting the ongoing gender disparities in the computer science industry.
This dataset consists of a selection of variables extracted from the U.S. Department of Education's College Scorecard 2015/2016. For the original, raw data visit the College Scorecard webpage. This dataset includes variables about institution types, proportion of degree types awarded, student enrollments and demographics, and a number of price and revenue variables. For 2005-2006 data, see here.Note: Data is not uniformly available for all schools on all variables. Variables for which there is no data (NULL), or where data is suppressed for reasons of privacy, are indicated by 999999999.
ATTRIBUTE DESCRIPTION EXAMPLE
ID2 1
UNITIDUnit ID for institution 100654
OPEID 8-digit OPE ID for institution 100200
OPEID6 6-digit OPE ID for institution 1002
State FIPS
1
State
AL
Zip
35762
City
Normal
Institution Name
Alabama A & M University
Institution Type 1 Public 2 Private nonprofit 3 Private for-profit 1
Institution Level 1 4-year 2 2-year 3 Less-than-2-year 1
In Operation 1 true 0 false 1
Main Campus 1 true 0 false 1
Branches Count of the number of branches 1
Popular Degree 1 Predominantly certificate-degree granting 2 Predominantly associate's-degree granting 3 Predominantly bachelor's-degree granting 4 Entirely graduate-degree granting 3
Highest Degree 0 Non-degree-granting 1 Certificate degree 2 Associate degree 3 Bachelor's degree 4 Graduate degree 4
PCIP01 Percentage of degrees awarded in Agriculture, Agriculture Operations, And Related Sciences. 0.0446
PCIP03 Percentage of degrees awarded in Natural Resources And Conservation. 0.0023
PCIP04 Percentage of degrees awarded in Architecture And Related Services. 0.0094
PCIP05 Percentage of degrees awarded in Area, Ethnic, Cultural, Gender, And Group Studies. 0
PCIP09 Percentage of degrees awarded in Communication, Journalism, And Related Programs. 0
PCIP10 Percentage of degrees awarded in Communications Technologies/Technicians And Support Services. 0.0164
PCIP11 Percentage of degrees awarded in Computer And Information Sciences And Support Services. 0.0634
PCIP12 Percentage of degrees awarded in Personal And Culinary Services. 0
PCIP13 Percentage of degrees awarded in Education. 0.1268
PCIP14 Percentage of degrees awarded in Engineering. 0.1432
PCIP15 Percentage of degrees awarded in Engineering Technologies And Engineering-Related Fields. 0.0587
PCIP16 Percentage of degrees awarded in Foreign Languages, Literatures, And Linguistics. 0
PCIP19 Percentage of degrees awarded in Family And Consumer Sciences/Human Sciences. 0.0188
PCIP22 Percentage of degrees awarded in Legal Professions And Studies. 0
PCIP23 Percentage of degrees awarded in English Language And Literature/Letters. 0.0235
PCIP24 Percentage of degrees awarded in Liberal Arts And Sciences, General Studies And Humanities. 0.0423
PCIP25 Percentage of degrees awarded in Library Science. 0
PCIP26 Percentage of degrees awarded in Biological And Biomedical Sciences. 0.1009
PCIP27 Percentage of degrees awarded in Mathematics And Statistics. 0.0094
PCIP29 Percentage of degrees awarded in Military Technologies And Applied Sciences. 0
PCIP30 Percentage of degrees awarded in Multi/Interdisciplinary Studies. 0
PCIP31 Percentage of degrees awarded in Parks, Recreation, Leisure, And Fitness Studies. 0
PCIP38 Percentage of degrees awarded in Philosophy And Religious Studies. 0
PCIP39 Percentage of degrees awarded in Theology And Religious Vocations. 0
PCIP40 Percentage of degrees awarded in Physical Sciences. 0.0188
PCIP41 Percentage of degrees awarded in Science Technologies/Technicians. 0
PCIP42 Percentage of degrees awarded in Psychology. 0.0282
PCIP43 Percentage of degrees awarded in Homeland Security, Law Enforcement, Firefighting And Related Protective Services. 0.0282
PCIP44 Percentage of degrees awarded in Public Administration And Social Service Professions. 0.0516
PCIP45 Percentage of degrees awarded in Social Sciences. 0.0399
PCIP46 Percentage of degrees awarded in Construction Trades. 0
PCIP47 Percentage of degrees awarded in Mechanic And Repair Technologies/Technicians. 0
PCIP48 Percentage of degrees awarded in Precision Production. 0
PCIP49 Percentage of degrees awarded in Transportation And Materials Moving. 0
PCIP50 Percentage of degrees awarded in Visual And Performing Arts. 0.0258
PCIP51 Percentage of degrees awarded in Health Professions And Related Programs. 0
PCIP52 Percentage of degrees awarded in Business, Management, Marketing, And Related Support Services. 0.1479
PCIP54 Percentage of degrees awarded in History. 0
Admission Rate
0.6538
Average RetentionRate of retention averaged between full-time and part-time students. 0.4428
Retention, Full-Time Students
0.5779
Retention, Part-Time Students
0.3077
Completion Rate
0.1104
Enrollment Number of enrolled students 4505
Male Students Percentage of the student body that is male. 0.4617
Female Students Percentage of the student body that is female. 0.5383
White Percentage of the student body that identifies as white. 0.034
Black Percentage of the student body that identifies as African American. 0.9216
Hispanic Percentage of the student body that identifies as Hispanic or Latino. 0.0058
Asian Percentage of the student body that identifies as Asian. 0.0018
American Indian and Alaskan Native Percentage of the student body that identifies as American Indian or Alaskan Native. 0.0022
Native Hawaiian and Pacific Islander Percentage of the student body that identifies as Native Hawaiian or Pacific islander. 0.0018
Two or More Races Percentage of the student body that identifies as two or more races. 0
Non-Resident Aliens Percentage of the student body that are non-resident aliens. 0.0062
Race Unknown Percentage of the student body for whom racial identity is unknown. 0.0266
Percent Parents no HS Diploma Percentage of parents of students whose highest level of education is less than high school. 0.019298937
Percent Parents HS Diploma Percentage of parents of students whose highest level of education is high school 0.369436786
Percent Parents Post-Secondary Ed. Percentage of parents of students whose highest level of education is college or above. 0.611264277
Title IV Students Percentage of student body identified as Title IV 743
HCM2 Cash Monitoring Schools identified by the Department of Ed for Higher Cash Monitoring Level 2 0
Net Price
13435
Cost of Attendance
20809
In-State Tuition and Fees
9366
Out-of-State Tuition and Fees
17136
Tuition and Fees (Program) Tuition and fees for program-year schools NULL
Tution Revenue per Full-Time Student
9657
Expenditures per Full-Time Student
7941
Average Faculty Salary
7017
Percent of Students with Federal Loan
0.8159
Share of Students with Federal Loan
0.896382157
Share of Students with Pell Grant
0.860906217
Median Loan Principal Amount upon Entering Repayment
14600
Median Debt for Completed Students Median debt for student who completed a course of study 35000
Median Debt for Incompleted Students Median debt for student who did not complete a course of study 9500
Median Debt for Family Income $0K-$30K Median debt for students of families with less thank $30,000 income 14457
Median Debt for Family Income $30K-$75K Median debt for students of families with $30,000-$75,000 income 15000
Median Debt for Family Income over $75K Median debt for students of families with over $75,000 income 14250
Median Debt Female Students
16000
Median Debt Male Students
13750
Median Debt 1st Gen. Students Median debt for first generation college student 14307.5
Median Debt Not 1st Gen. Students Median debt for not first generation college students 14953
Cumulative Loan Debt Greater than 90% of Students (90th Percentile)
48750
Cumulative Loan Debt Greater than 75% of Students (75th Percentile)
32704
Cumulative Loan Debt Greater than 25% of Students (25th Percentile)
5500
Cumulative Loan Debt Greater than 10% of Students (10th Percentile)
3935.5
Accrediting Agency
Southern Association of Colleges and Schools Commission on Colleges
Website
Price Calculator
www2.aamu.edu/scripts/netpricecalc/npcalc.htm
Latitude
34.783368
Longitude
-86.568502
In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.
Persistence and graduation of undergraduate degree students, within the field of study grouping (Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings) and province or territory of first enrolment, by demographic characteristics. The STEM grouping includes fields of study in science, technology, engineering, and mathematics and computer sciences. The BHASE grouping includes fields of study in business, humanities, health, arts, social science, education, legal studies, trades, services, natural resources and conservation.
https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy
The Computer Vision Marketsize was valued at USD 20.31 USD Billion in 2023 and is projected to reach USD 110.03 USD Billion by 2032, exhibiting a CAGR of 27.3 % during the forecast period.Computer vision is the field of artificial intelligence (AI) or computer science that concerns making computers see and understand pictures from the surrounding environment as people do with visual data. This entails creating algorithms, models, and systems that are capable of examining, processing, and converting visual information from various data sources such as images, videos and others into meaningful data. Main characteristics of computer vision comprise image recognition, which offers the computers with an ability to identify objects, patterns, and characteristics within images; object tracking, which automates real-time monitoring and tracking of objects or subjects within a scene; image segmentation, which consists of images division into meaningful segments (parts of images); 3D reconstruction, building three-dimensional models of objects or scenes from 2D images; gesture recognition, which translate. In the healthcare, computer vision is of great benefit as it helps in medical imaging analysis, diagnosis, and treatment planning. In addition, computer vision underpins immersive experiences in Augmented reality (AR) and Virtual reality (VR), provides superior user interface and insights from visual data for data-driven decisions across business sectors. Recent developments include: December 2023: AlwaysAI collaborated with professors at the University of California, San Diego to advance computer vision technology. This collaboration enabled users to leverage San Diego's outstanding academic and technical talent to develop practical computer vision applications that deliver incredible value to customers., October 2023: Remark Holdings, Inc., an AI-powered video analytics provider, announced a partnership with Arrow Electronics and Intel. This partnership would expand more than 200,000 customers by providing Intel-based AI servers running Remark's reach Remark's Smart Safety Platform (SSP) responsible for warehousing, sales, and logistics sales support., August 2023: TechSee announced integration with Amazon Web Services to support Amazon Connect. The integration with Amazon Connect provides better customer service at lower costs by incorporating artificial integration and an augmented reality platform., August 2023: Amazon announced the launch of a shelf monitoring solution for sellers to ensure high quality fresh food. The launch of this solution allows sellers to meet consumer demand for high-quality fresh fruits and vegetables when shopping on Amazon Fresh. , August 2023: NVIDIA announced the launch of the NVIDIA Omniverse platform, which provides new foundational services and applications for developers and industrial enterprises to improve and extend their 3D pipelines using the OpenUSD framework and generative AI. By adopting this platform, developers can improve their tools and companies can create larger, more complex global simulations as digital testbeds for industrial applications.. Key drivers for this market are: Surging Use of Efficient Quality Control in Manufacturing to Drive the Market Growth. Potential restraints include: Higher Cost of Acquiring and Implementation Among Organizations May Hinder the Market Growth. Notable trends are: Revolutionizing of Agriculture through AI Vision Are Expected to Fuel Market Growth.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data for this study were collected at the University of California – Irvine (UCI) as part of the UCI-MUST (Measuring Undergraduate Success Trajectories) Project, a larger longitudinal measurement project aimed at improving understanding of undergraduate experience, trajectories and outcomes, while supporting campus efforts to improve institutional performance and enhance educational equity (Arum et. al. 2021). The project is focused on student educational experience at a selective large, research-oriented public university on the quarter system with half of its students first-generation and 85 percent Hispanic, Asian, African-American, Pacific Islander or Native American. Since Fall 2019, the project has tracked annually new cohorts of freshmen and juniors with longitudinal surveys administered at the end of every academic quarter. Data from the Winter 2023 end of term assessment, administered in the first week of April, was pooled for four longitudinal study cohorts for this study (i.e., Fall 2019-2022 cohorts). There was an overall response rate of 42.5 percent for the Winter 2023 end of term assessment. This allowed us to consider student responses from freshmen through senior years enrolled in courses throughout the university. Students completed questionnaire items about their knowledge and use of ChatGPT in and out of the classroom during the winter 2023 academic term. In total 1,129 students completed the questionnaire, which asked questions about: knowledge of ChatGPT (“Do you know what ChatGPT is?”); general use (“Have you used ChatGPT before?”); and instructor attitude (“What was the attitude of the instructor for [a specific course students enrolled in] regarding the use of ChatGPT?”). Of those 1,129 students, 191 had missing data for at least one variable of interest and were subsequently dropped from analysis, resulting in a final sample of 938 students. In addition, for this study we merged our survey data with administrative data from campus that encompasses details on student background, including gender, race, first-generation college-going, and international student status. Campus administrative data also provides course-level characteristics, including whether a particular class is a lower- or upper-division course as well as the academic unit on campus offering the course. In addition, we used administrative data on all students enrolled at the university to generate classroom composition measures for every individual course taken by students in our sample – specifically the proportion of underrepresented minority students in the class, the proportion of international students in the class and the proportion of female students in the class. For our student-level analysis [R1], we used binary logistic regressions to examine the association between individual characteristics and (1) individual awareness and (2) individual academic use of ChatGPT utilizing the student-level data of 938 students. Individual characteristics include gender, underrepresented minority student status, international student status, first generation college-going student status, student standing (i.e. lower or upper classmen), cumulative grade point average and field of study. Field of study was based on student major assigned to the broad categories of physical sciences (i.e. physical sciences, engineering, and information and computer science), health sciences (i.e. pharmacy, biological sciences, public health, and nursing), humanities, social sciences (i.e. business, education, and social sciences), the arts, or undeclared. We defined awareness of ChatGPT as an affirmative response to the question “Do you know what ChatGPT is?” Regarding ChatGPT use, we focused on academic use which was defined as an affirmative response of either “Yes, for academic use” or “Yes, for academic and personal use” to the question “Have you used ChatGPT before?” For our course-level analysis [R2], we constructed a measure – course-level instructor encouragement for ChatGPT use – based on student responses to the end of the term survey conducted at the completion of the Winter 2023 term. In the survey, students were asked to indicate the extent to which their instructors encouraged them to use ChatGPT in each of their enrolled courses. The response
The number of postsecondary graduates, by Classification of Instructional Programs, Primary groupings (CIP_PG), International Standard Classification of Education (ISCED), age group and gender.
This statistic shows the employment distribution of science and engineering occupations in the United States in 2017, by their educational attainment and occupation type. In 2017, **** percent of those employed in science and engineering occupations were computer and mathematical scientists.
The Computer Science Principles (CSP) Exam is an Advanced Placement (AP) exam that began being offered to U.S. high school students in 2017. Typically those who take the exam participate in a AP Computer Science class at their high school. The students who had the option to take the CSP exam in high school were ***** times more likely to declare a major in computer science at their four-year University than those who did not have the option to take a CSP exam during high school. For example, **** percent of all who had the option to take the CSP exam in 2019 majored in computer science, while only *** percent majored in computer science in 2016, before the exam was offered at the high school level. Highlighting the impact that the AP computer science high school classes had on the students.
Additionally, this figure also highlights the variation between gender and ethnicity groups. Female students who had the option to take the CSP exam were **** times as likely to major in computer science then those who did not have the option to take the CSP exam in 2016. However, the rate at which female students in general are becoming computer science majors is significantly less than their male counterparts.
From the graduating year 2016 to the graduating year 2019, the percentage of female graduates in physical science-related degrees in the United Kingdom (UK) has increased by ***** percent. Other science, technology, engineering, or mathematics (STEM) subjects, such as mathematical sciences, engineering and tech, and computer science, have not seen such an increase over the years examined. Share of female graduates is the lowest when it comes to subjects such as engineering and tech as well as computer science, staying at around ** percent of overall number of graduates in these subjects.
Over **** million students were enrolled in the computer science engineering discipline in the academic year 2022. The second highly sought-after engineering discipline was electronics with about *** thousand students for the same year. What is the process of enrollment in engineering colleges? The Joint Entrance Examination (JEE) Main is a national-level exam conducted by the National Testing Agency (NTA) and is the gateway to the prestigious Indian Institute of Technology (IIT) or the National Institute of Technology (NIT) and other leading engineering colleges. Different Indian states also organize Common Entrance Tests (CETs) for engineering admissions. Most of these engineering colleges are government run and subsidized. Why is engineering a popular profession in India? As a developing economy, the sector offers various work opportunities in the infrastructure, construction, and transport sectors in India. The IT industry is also one of the largest employers in India. Job opportunities in the sector include new and promising areas such as data analytics, artificial intelligence, and cybersecurity among others. Hence it is not surprising that the stream is most opted for by engineering students. In addition to an abundance of job opportunities, the sector offers high earning potential and boosts chances of landing a job abroad, given the high unemployment rate in India.
There were 159,810 international students studying business management in the United States in the academic year of 2023/24. The most popular field of study for international students in that year was math and computer science, with 280,922 enrolled international students.
In the academic year of 2023/2024, about **** percent of Chinese students studying in the United States were enrolled in business and management programs. A further **** percent of Chinese students were enrolled in math/computer science programs, making it the most popular field of study for those studying in the United States.
Colleges and universities in the United States are still a popular study destination for Chinese students, with around 277 thousand choosing to take courses there in the 2023/24 academic year. Although numbers were heavily affected by the coronavirus pandemic, China is still the leading source of international students in the U.S. education market, accounting for 24.6 percent of all incoming students. The education exodus Mathematics and computer science courses led the field in terms of what Chinese students were studying in the United States, followed by engineering and business & management programs. The vast majority of Chinese students were self-funded, wth the remainder receiving state-funding to complete their overseas studies. Tuition fees can run into the tens of thousands of U.S. dollars, as foreign students usually pay out-of-state tuition fees. What about the local situation? Although studying abroad attracts many Chinese students, the country itself boasts the largest state-run education system in the world. With modernization of the national tertiary education system being a top priority for the Chinese government, the country has seen a significant increase in the number of local universities over the last decade. Enrolments in these universities exceeded 37 million in 2023, and a record of more than ten million students graduated in the same year, indicating that China's education market is still expanding.
In 2021, there were a total of 391,375 Bachelor's degrees earned in business studies across the United States, making it the most common field of study. In that same year, a further 126,944 Bachelor's degrees were earned in the field of psychology.
In the academic year 2023/2024, ******* students were enrolled in medicine and healthcare programs in Italy. Economics counted ******* enrollments, while ******* students were studying industrial and information engineering. On the contrary, only ****** undergraduates studied agricultural sciences and veterinary. More than ** percent of the students studying education, linguistic studies, psychology, medicine, design, law, humanities, and political science were female, while male were a significant majority in disciplines such as computer science, engineering, and sports science. Leading universities In the academic year 2023/2024, ******* students were enrolled at La Sapienza University of Rome, the largest Italian university. Other universities with more than ****** students are the universities of Bologna and Turin. According to the Italian research institute CENSIS, the Alma Mater Studiorum University of Bologna is the best public university in the country among those with more than ****** enrollments. The criteria adopted for the evaluation were based on services, scholarships and taxes, facilities, web services, internationalization, and employment possibilities. Growing popularity of online courses Among the largest Italian universities, an online university ranked at the second place. In fact, over ****** students were enrolled at the Pegaso online University in the academic year 2023/2024. In total, in 2024, ******* students chose e-learning for their bachelor's studies, while ****** individuals were enrolled in an online master's course. Recently, the number of students who graduated from an online university constantly increased. In the academic year 2013/2014, ***** people graduated from an online university. In 2024, the number of students more than doubled, reaching about ****** graduates.
In 2020, almost 270,000 students were enrolled in tertiary education in Tunisia. Around 170,000 of these were women, making up roughly 63 percent of the students. From 2014 onwards, the number of students in tertiary education generally decreased, with male students always representing the minority of the enrollees.
Higher education in Tunisia
After obtaining the Baccalauréat at the end of secondary school, students in Tunisia can access higher education. Most students enrolled in university pursue bachelor’s degrees. In the 2017/2018 academic year, there were around 152,000 undergraduate students in the country, compared to approximately 37,000 postgraduates. Some foreign students also attend Tunisia's higher education institutions. Out of the total number of enrollees in tertiary education in the country, around 2.8 percent were foreign students as of 2019. In general, Tunisians mostly enroll in STEM disciplines (science, technology, engineering, and mathematics). Commercial and administrative affairs, engineering, and computer science are the most popular fields of study in tertiary education.
Largest universities
As of the 2018/2019 academic year, there were around 277 tertiary education institutions in Tunisia. The vast majority, amounting to 203, were public establishments. Despite a constant annual increment in number, private universities remain less prevalent in the country and attract a lower number of students compared to public institutes. The public universities of Sfax, Carthage, and Tunis El Manar lead the ranking of Tunisian universities by number of enrollees. In recent years, enrollment in tertiary education has been generally decreasing in Tunisia.
This statistic shows the total number of students that graduated from postsecondary institutions in Canada in 2020, by field of study. In 2020, a total of 44,211 students received a certificate, diploma, or degree in the field of humanities from a postsecondary institution in Canada.
In 2023, computer science was the most popular higher education study major in Myanmar, with more than ***** students studying this subject. With approximately *** thousand students, medicine was the second most preferred study major, compared to just *** students who were enrolled in studying forestry. Brief overview of education in Myanmar In 2014, all of primary school-age population of Myanmar was enrolled in some form of education. Alternatively, with approximately a quarter of the students dropping out, the enrollment share decreased for students enrolled in higher education. In April 2016, the reforms headed by the National League for Democracy demonstrated significant improvement in the allotted budget for education sector. In 2020, the Myanmar government spent over *** U.S. dollars per tertiary student accounting for a generous share of the GDP. Spotlight on higher education With a relatively high number of Bachelor degree holders, Myanmar registered approximately **** million students enrolled in higher education in 2022. The number of students graduated in the field of computer in 2019 stood at approximately *** thousand. In comparison, the number of students who graduated in the field of community health amounted to only ** that year.
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This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data.
Without sufficient information about researchers’ data sharing, there is a risk of mismatching FAIR data service efforts with the needs of researchers. This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data. The advancement of FAIR data would benefit from novel methodologies that reliably examine data sharing at the level of multidisciplinary research organisations. Studies that use CRIS publication data to elicit insight into researchers’ data sharing may therefore be a valuable addition to the current interview and questionnaire methodologies.
Data was collected from the following sources:
All journal articles published by researchers in the computer science department of the case study’s university during 2019 were extracted for scrutiny from the current research information system. For these 193 articles, a coding framework was developed to capture the key elements of acquiring and sharing research data. Article DOIs are included in the research data.
The scientific journal articles and theirs DOIs are used in this study for the purpose of academic expression.
The raw data is compiled into a single CSV file. Rows represent specific articles and columns are the values of the data points described below. Author names and affiliations were not collected and are not included in the data set. Please, contact the author for access to the data.
The following data points were used in the analysis:
Data points
Main study types
Literature-based study (e.g. literature reviews, archive studies, studies of social media)
yes/no
Novel computational methods (e.g. algorithms, simulations, software)
yes/no
Interaction studies (e.g, interviews, surveys, tasks, ethnography)
yes/no
Intervention studies (e.g., EEG, MRI, clinical trials)
yes/no
Measurement studies (e.g. astronomy, weather, acoustics, chemistry)
yes/no
Life sciences (e.g. “omics”, ecology)
yes/no
Data acquisition
Article presents a data availability statement
yes/no
Article does not utilise data
yes/no
Original data was collected
yes/no
Open data from prior studies were used
yes/no
Open data from public authorities, companies, universities and associations
yes/no
Data sharing
Article does not use original data
yes/no
Data of the article is not available for reuse
yes/no
Article used openly available data
yes/no
Authors agree to share their data to interested readers
yes/no
Article shared data (or part of) as supplementary material
yes/no
Article shared data (or part of) via open deposition
yes/no
Article deposited code or used open code
yes/no