Global Community on Health Data

So what are open sites? Openness in experimental methodology, observation, and collection of data. Public availability and reusability of scientific data. Public accessibility and transparency of scientific communication. Using web-based tools to facilitate scientific collaboration. So sharing outside of the research group. You need to consult the University data policy and intellectual property policy console with the funder policies. For example if you have different funding agencies consult with your principal investigator of the project and consult with your IRB office Significance of data citation. It is also important that if you are, you know, using data from some sources. You must cite properly. So people can acknowledge well.

And can go through So provide appropriate credit to avoid plagiarism; helps data producers know how their data is being used; enables other researchers to access data for their own use or to replicate research findings Assists in measuring the impact of a data set by tracking references to it in the scientific literature or in online conversations From Taipei Medical University, we are also part of OHDSI group which is called the Observational Health Data Sciences and Informatics and it is a global community and most of, you know, the countries they voluntarily join this And we usually spare our data using the common data model to be a part of this global community to do different research studies.

And currently, there are a hundred more than hundred researchers in Academy industry and government and more than 10 countries and they have more than 40 database in CDM, which is a common data model. And more than 500 million patients. So Taiwan is one part of that global community as well. This community supports, you know, open-source tools which you have you know different countries have a different format of data structure. So we usually participate in using the common data model strategy. So you don’t need to provide the executive, you just need to convert data into a common data model so they can run the same query along the different data bases