Integrating Heterogeneous Data Sources for Cross-Institutional Data Sharing: Requirements Elicitation and Management

Kais Tahar1,2, Christoph Müller3, Andreas Dürschmid1

  • 1University Hospital Leipzig, Data Integration Center, Leipzig, Germany.

Related Concept Videos

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
758
Proteins: Dietary Sources and Requirements01:28

Proteins: Dietary Sources and Requirements

Consuming animal-based products offers high-quality proteins that contain optimal levels and combinations of essential amino acids, crucial for tissue repair and growth. Foods like eggs, milk, fish, and most meats are a source of complete proteins. Legumes and cereals are abundant in proteins; however, they typically lack a full range of essential amino acids. As a result, they are considered incomplete protein sources. Some plant sources like soybeans, quinoa, and amaranth do contain complete...
1.6K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.8K
Carbohydrates: Dietary Sources and Requirements01:15

Carbohydrates: Dietary Sources and Requirements

Carbohydrates are predominantly obtained from plant sources. With the exception of lactose found in milk and insignificant glycogen amounts in meat, most consumed carbohydrates have plant origins. Monosaccharides and disaccharides, or sugars, can be sourced from fruits, honey, milk, sugar cane, and sugar beets. Grains and vegetables are rich in the polysaccharide starch. Two types of polysaccharides provide fiber: cellulose, which is abundant in many vegetables, forms undigestible roughage or...
1.5K
Lipids: Dietary Sources and Requirements01:18

Lipids: Dietary Sources and Requirements

Lipids are an essential component of a balanced human diet. Triglycerides, which make up the majority of dietary lipids, are found in both saturated fats—commonly present in meat, dairy products, and certain tropical plants like coconut, and hydrogenated oils such as margarine and baking shortenings (trans fats)—and unsaturated fats, which are abundant in seeds, nuts, olive oil, and most vegetable oils. The main sources of cholesterol include egg yolks, various meats and organ...
1.9K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
42.9K