ArticleInternational journal of population data science2018
A Position Statement on Population Data Science: The Science of Data about People.
Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 46 citations in OpenAlex.
- The promise of big data: don't fence me in.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Co-creating an Inclusion, Diversity, Equity, and Accessibility (IDEA) Strategy in a Pan-Canadian Health Data Research Network.International journal of population data science · 2026Article
- Assessing and Improving Access to Health and Social Care Services for Children Rendered Vulnerable by Abuse: Protocol for a Cross-Sectoral Longitudinal, Mixed Methods, Multi-Country Study Using Nationwide Data in Europe.International journal of population data science · 2026Article
- Psoriatic arthritis incidence and prevalence trajectory in Poland-public-payer, national-level, long-term data.Rheumatology international · 2025Article
- Extent of Open Science Practices in the Reporting of Real World Evidence Research.International journal of population data science · 2025Article
- A novel protocol for a "Citizen Panel" for diverse Public and Participant Involvement in the review and development of the process to access data in the UK Longitudinal Linkage Collaboration Trusted Research Environment.International journal of population data science · 2025Article
- Article
- From secondary data to Population Data Science: remembering 40 years of scientific production within CSP pages.Cadernos de saude publica · 2024Article
- Public sector health analytics capacity before and after Covid-19: A case study of manager perspectives in New Brunswick, Canada.International journal of population data science · 2024Article
- Research data use in a digital society: a deliberative public engagement.International journal of population data science · 2024Article
- Secondary use of routinely collected administrative health data for epidemiologic research: Answering research questions using data collected for a different purpose.International journal of population data science · 2024Article
- CIDACS' efforts towards an inclusive and dialogic data governance in Brazil: a focused literature review.International journal of population data science · 2024Review
- Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions.International journal of population data science · 2023Article
- Thirty-three myths and misconceptions about population data: from data capture and processing to linkage.International journal of population data science · 2023Article
- Correlates of child mental health and substance use related emergency department visits in Ontario: A linked population survey and administrative health data study.International journal of population data science · 2023Article
- Population data science.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2022Article
- Characterising mental health and addictions and assault-related health care use in the year prior to death: a population-based linked cohort study of homicide victims.International journal of population data science · 2021Article
- Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model.JMIR medical informatics · 2020Article
- Individual and neighbourhood socioeconomic status increase risk of avoidable hospitalizations among Canadian adults: A retrospective cohort study of linked population health data.International journal of population data science · 2020Article
- Public involvement & engagement in the work of a data safe haven: a case study of the SAIL Databank.International journal of population data science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 17 institutions in 7 countries.
Funding
Abstract
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
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.