| Autor: |
McGrail KM; The University of British Columbia, School of Population and Public Health, 2206 East Mall, Vancouver, BC Canada V6T 1Z3., Jones K; Population Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PP., Akbari A; Population Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PP., Bennett TD; University of Colorado School of Medicine, 13001 E 17th Pl, Aurora, CO 80045, USA., Boyd A; Bristol Medical School: Population Health Sciences, Office OF3 Oakfield House, Oakfield Grove, Clifton BS8 2BN., Carinci F; Department of Statistical Sciences 'Paolo Fortunati', University of Bologna, Via Belle Arti 41, Bologna, Italy., Cui X; PolicyWise for Children & Families, 9925 109 St NW, Edmonton, AB T5K 2J8, Canada., Denaxas S; University College London., Dougall N; School of Health & Social Care, Edinburgh Napier University, Sighthill Campus Sighthill Court Edinburgh EH11 4BN., Ford D; Population Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PP., Kirby R; Dept of Pediatrics, College of Medicine Obstetrics & Gynecology, University of South Florida,, 13201 Bruce B Downs Blvd, MDC56 Tampa FL 33612., Kum HC; Texas A&M School of Public Health 212 Adriance Lab Road College Station, TX., Moorin R; Curtin University., Moran R; Health Research Board, Ireland., O'Keefe CM; Commonwealth Scientific and Industrial Research Organisation (CSIRO), GPO Box 1700 Canberra ACT 2601 Australia., Preen D; University of Western Australia, School of Population and Global Health, 35 Stirling Highway, Perth WA 6009 Australia., Quan H; Department of Community Health Sciences, Faculty of Medicine, University of Calgary, TRW Building, 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta CANADA T2N 4Z6., Sanmartin C; Statistics Canada 150 Tunney's Pasture Driveway Ottawa, Ontario K1A 0T6., Schull M; ICES Central, G1 06, 2075 Bayview Avenue Toronto, ON M4N 3M5 Canada., Smith M; University of Manitoba, Manitoba Centre for Health Policy., Williams C; Australian Bureau of Statistics, ABS House 45 Benjamin Way, Belconnen ACT 2617. Australia., Williamson T; Department of Community Health Sciences, Faculty of Medicine, University of Calgary, TRW Building, 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta CANADA T2N 4Z6., Wyper GM; Public Health and Intelligence, NHS National Services Scotland., Kotelchuck M; Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA. |
| Abstrakt: |
Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise challenges of balancing individual privacy and the public good, building appropriate socio-technical systems to support data-intensive science, and determining whether defining a new field of inquiry might help move those collective interests and activities forward. A combination of expert engagement, literature review, and iterative conversations led to our conclusion that defining the field of Population Data Science (challenge 3) will help address the other two challenges as well. We define Population Data Science succinctly as the science of data about people and note that it is related to but distinct from the fields of data science and informatics. A broader definition names four characteristics of: data use for positive impact on citizens and society; bringing together and analyzing data from multiple sources; finding population-level insights; and developing safe, privacy-sensitive and ethical infrastructure to support research. One implication of these characteristics is that few people possess all of the requisite knowledge and skills of Population Data Science, so this is by nature a multi-disciplinary field. Other implications include the need to advance various aspects of science, such as data linkage technology, various forms of analytics, and methods of public engagement. These implications are the beginnings of a research agenda for Population Data Science, which if approached as a collective field, can catalyze significant advances in our understanding of trends in society, health, and human behavior. |
