LIMSjournal – Fall 2018
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Table of Contents
- Chapter: 1. Data science and big data
- A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis (Evans et al. 2017)
- Data science as an innovation challenge: From big data to value proposition (Kayser et al. 2018)
- The development of data science: Implications for education, employment, research, and the data revolution for sustainable development (Murtagh and Devlin 2018)
- How big data, comparative effectiveness research, and rapid-learning health care systems can transform patient care in radiation oncology (Sanders and Showalter 2018)
- Chapter: 2. Data sharing and open data
- Technology transfer and true transformation: Implications for open data (Bezuidenhout 2017)
- Support Your Data: A research data management guide for researchers (Borghi et al. 2018)
- Promoting data sharing among Indonesian scientists: A proposal of a generic university-level research data management plan (RDMP) (Irawan and Rachmi 2018)
- Chapter: 3. Information management tools and techniques
- Chapter: 4. Information security and privacy
- Big data in the era of health information exchanges: Challenges and opportunities for public health (Baseman et al. 2017)
- How could the ethical management of health data in the medical field inform police use of DNA? (Krikorian and Vailly 2018)
- Password compliance for PACS work stations: Implications for emergency-driven medical environments (Mahlaola and van Dyk 2017)
