Dataset Information

SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information.

ABSTRACT:

Introduction

Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data exploration, discovery and analytics get considerably harder. Exploratory querying of heterogeneous and multi-source information is both difficult and necessary to advance our knowledge about the world around us.

Research design

We developed a mechanism to integrate dispersed multi-source data and service the mashed information via human and machine interfaces in a secure, scalable manner. This process facilitates the exploration of subtle associations between variables, population strata, or clusters of data elements, which may be opaque to standard independent inspection of the individual sources. This a new platform includes a device agnostic tool (Dashboard webapp, http://socr.umich.edu/HTML5/Dashboard/) for graphical querying, navigating and exploring the multivariate associations in complex heterogeneous datasets.

Results

The paper illustrates this core functionality and serviceoriented infrastructure using healthcare data (e.g., US data from the 2010 Census, Demographic and Economic surveys, Bureau of Labor Statistics, and Center for Medicare Services) as well as Parkinson's Disease neuroimaging data. Both the back-end data archive and the front-end dashboard interfaces are continuously expanded to include additional data elements and new ways to customize the human and machine interactions.

Conclusions

A client-side data import utility allows for easy and intuitive integration of user-supplied datasets. This completely open-science framework may be used for exploratory analytics, confirmatory analyses, meta-analyses, and education and training purposes in a wide variety of fields.

SUBMITTER: Husain SS

PROVIDER: S-EPMC4520712 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectiveTo develop tobacco control strategies by analyzing online tobacco marketing information in China.MethodsUsing web-crawler software, this study acquired 106,485 pieces of online tobacco marketing information published on 11 different Internet platforms including Weibo, WeChat, Baidu, etc., from January-June 2018. The data were used to investigate the characteristics and social networks of online tobacco marketing via content and social network analysis.ResultsThe total volume of online tobacco marketing during the study period was high, showing a positive trend. Of all the marketing subjects, those involving "flavor capsule", "Marlboro", and "Esse" were the most popular. The Weibo platform had the highest volume of online tobacco marketing information as well as the largest proportion of explicit marketing information. This was followed by other social media platforms such as Baidu Search, Baidu Tieba, and Xiaohongshu, where implicit marketing information predominated. The overall network structure of tobacco websites exhibited a significant centralization feature, where traditional and novel tobacco websites formed two clusters with almost no intersections. The China Tobacco Science and Education Website (http://www.tobaccoinfo.com.cn/) and E-Cigarette Home (http://ecigm.com/) were the two nodes of the highest degree centrality within the respective "circle", while the China Tobacco Monopoly Bureau Website (http://www.tobacco.gov.cn/) was the node with the highest closeness centrality. By contrast, Baidu Tieba's overall network structure was more decentralized, and the degree of correlation between different nodes was relatively low.ConclusionOnline tobacco marketing demonstrated high volumes and wide coverage, and an intertwined network, thereby creating major obstacles for tobacco control. To address this issue, the government should strengthen network supervision of tobacco marketing and revise its current regulations. Meanwhile, Internet platforms should improve self-regulation by comprehensively removing and blocking tobacco-related information. Lastly, the media and public should advocate associated policies and support Internet platform supervision.