Big web data: Challenges related to data,technology, legality,and ethics |
| |
| Institution: | 1. Faculty of Applied Science, University of British Columbia, Vancouver, Canada;2. College of Nursing, University of Saskatchewan, Regina, Canada;3. Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK;4. Department of Oncology, KU Leuven - University of Leuven, Leuven, Belgium;5. University Hospital Waterford, Waterford, Ireland;6. Faculty of Medicine, University of Chile, Santiago, Chile;7. University Hospitals Sussex NHS Foundation Trust, Pharmacy, Brighton, UK;8. School of Nursing, University of Victoria, Victoria, Canada;9. School of Healthcare, University of Leicester, Leicester, UK;10. Princess Margaret Cancer Centre, Toronto, Canada;11. University of Groningen, University Medical Center Groningen, Groningen, the Netherlands;12. Faculty of Nursing, University of Calgary, Calgary, Canada;13. Select Medical, ReVital Cancer Rehabilitation, Mechanicsburg PA, USA;14. University of Saskatchewan, Saskatoon, Canada;15. Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Canada;p. Department of General Medical Oncology and Geriatric Medicine, University Hospitals Leuven, Leuven, Belgium;q. Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven - University of Leuven, Leuven, Belgium |
| |
| Abstract: | The digital data available online is currently measured in zettabytes. These vast repositories of big web data are increasingly viewed as a strategic resource comparable in value to land, gold, and oil. This big web data can be extracted and analyzed by organizations to gain a better understanding of their internal and external environment and improve organizational performance. Because of these opportunities, automated retrieval and organization of web data (i.e., web scraping) for research projects is becoming a common practice. This article outlines the data-related, technical, legal, and ethical issues related to web scraping. Awareness of these issues can help researchers save time and resources and, most importantly, mitigate the potential risk of ethical controversies or lawsuits related to the retrieval and use of big web data. |
| |
| Keywords: | Big data Web data Web scraping Law Ethics |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
