{"title":"Big Data Challenges in Social Sciences: An NLP Analysis","authors":"M. Zwilling","doi":"10.1080/08874417.2022.2085211","DOIUrl":null,"url":null,"abstract":"ABSTRACT Data science is considered to be a complex domain. It involves the skillful implementation of a multitude of data analysis and interpretation methods to reach managerial and operational decisions. For this reason, it poses a number of challenges to students in all disciplines, especially in the social sciences. The present study highlights these challenges through the analysis of 4 complementary research works that are based on 3 instruments: a scientific corpus, surveys, and data science job offers posted on LinkedIn-Israel. The study’s findings indicate that although data science is perceived to be an important domain that exerts a high influence on our society, social sciences’ students still do not have sufficient skills to cope with the challenges it poses. The study suggests equipping students with the skills and qualifications necessary for big data analysis through the design of adequate academic programs. The current article discusses these findings and their implications.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"14 1","pages":"537 - 554"},"PeriodicalIF":2.5000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Information Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/08874417.2022.2085211","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Data science is considered to be a complex domain. It involves the skillful implementation of a multitude of data analysis and interpretation methods to reach managerial and operational decisions. For this reason, it poses a number of challenges to students in all disciplines, especially in the social sciences. The present study highlights these challenges through the analysis of 4 complementary research works that are based on 3 instruments: a scientific corpus, surveys, and data science job offers posted on LinkedIn-Israel. The study’s findings indicate that although data science is perceived to be an important domain that exerts a high influence on our society, social sciences’ students still do not have sufficient skills to cope with the challenges it poses. The study suggests equipping students with the skills and qualifications necessary for big data analysis through the design of adequate academic programs. The current article discusses these findings and their implications.
期刊介绍:
The Journal of Computer Information Systems (JCIS) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally.
We encourage manuscripts that cover the following topic areas:
-Analytics, Business Intelligence, Decision Support Systems in Computer Information Systems
- Mobile Technology, Mobile Applications
- Human-Computer Interaction
- Information and/or Technology Management, Organizational Behavior & Culture
- Data Management, Data Mining, Database Design and Development
- E-Commerce Technology and Issues in computer information systems
- Computer systems enterprise architecture, enterprise resource planning
- Ethical and Legal Issues of IT
- Health Informatics
- Information Assurance and Security--Cyber Security, Cyber Forensics
- IT Project Management
- Knowledge Management in computer information systems
- Networks and/or Telecommunications
- Systems Analysis, Design, and/or Implementation
- Web Programming and Development
- Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation
- E-Learning Technologies, Analytics, Future