The Necessity Of Data Aggregators & Their Types

Since the 20th century began, innovation in computer science and information technology field came rapidly. With the development of different software, some systems were also introduced. These systems for found helpful for people working in the domain and also outside this domain. A lot of work is done with knowledge aggregators also. Data aggregators are online portals which store data of different kind at once central place to be utilized for various cause. There are some reasons that why data aggregators are necessary:

• A very low discover able open data sources which are hard or very difficult to find.
• Difficulty in use of open data sources.
• Lack of standard open license, which may represent a legal obstacle for data distribution purpose.

Having a glance at these problems one can know that data aggregators are very useful techniques to handle openly provided data and settle issues effecting it in any way. We will supply the authentications in favor of this argument by observing how FAIR works out, namely Findability, Accessibility, Interoperability and Reusability, these are put into practical work by four kind of different data aggregators run in Indonesia, Czech Republic, the US and the EU. FAIR principles are commonly used as a guideline to approach the standard of open data capability and good FAIR practices are encouraged by policymakers. According to this FAIR, four systems are working that will be described here one by one.

Indonesian Active Hiring web site:

The Active Hiring website is a web-portal that monitors job hiring different trends by sector, various geographical area and job type. The platform utilizes open and linked data (Hosen and Alfina 2016). It gives the information of all jobs over the Indonesia which are popular at these specific days, what areas are popular for what kind of job like some areas are special for IT jobs, in the same city some areas are famous for medical and pharmaceutical jobs. All this is predicated by the Indonesian Active Hiring Website.

Czech ODCleanStore

ODCleanStore is a project that enables aggregation of automated data, simplifying older aggregation method; the website provides source of metadata (metadata showing the origin of the data) and information on reliable data (Knap et al 2012). It comes with the name Hanel since 1950s. They provide innovative and newly developed solutions in automated records and materials handling.

US-based Data.gov

Data.gov is a platform that indexes raw data. It provides open source APIs for government data. It has almost 302,946 databases related to different fields of life. It contains data of these fields: Agriculture Climate Consumer Ecosystems Education Energy Finance Health Local Government Manufacturing Maritime Ocean Public Safety Science & Research Open government data helps software applications that help people to take accurate and informed decisions. It helps to find the safest customer products etc.

EU-funded ENERGIC-OD

It is (European Network for Redistributing Information about different locations to user Community – Open Data) is a European Commission-funded project which directs to make ease access to the Geographic Information System (GIS) which is open data. The project has built a pan-European Virtual Hub (pEVH), a new technology dealing together various GISopen data sources. It has almost 10 applications helping in Geographic Information.

It has an application “NoiseCapture”, it provides information about noise pollution in cities. It can help to make traffic managed, urban development and new public transportation policies etc. More over it has virtual hubs for users, developers and providers also. Some other applications are SensorOpen Data Portal, GeoPan APP and Biodiversity Bird Indicator etc. Another system being used for data aggregation is Canadian Institute of Health Information. It also integrates data of thousands of people. This data is related to medical history of patients.

CIHI

“The Canadian Institute for Health Information (CIHI) is an independent working, not-for-profit organizational system that provides necessary information on Canada’s health systems and the health of Canadian people. CIHI provides comparable and necessary using data and information that are used to bring improvements in health care, performance of health system and population health across Canada. It also insures the security of data of every user.”CIHI uses the data of its customers which come to this site and enter their credentials, together with evidence-based reports and its analyses, in method of their decision-making processes. CIHI after analyzing the data of a customers and return answer based upon its stored data. There is a specific process of data processing in it:

• Medical incident is discovered and its report is made internally.
• Details are reviewed at the backend for data analyzing and data quality.
• This report of incident is finalized and sent to “National System for Incident Reporting”. And it is submitted anonymously.
• Then this data is available for analysis.
• Different user can communicate with each other anonymously, for the getting additional information about their problem.

Stanford Parser

It is a program for parsing the natural language into the grammatical structure of sentences. This parser is a Java implementation of probabilistic natural language parsers. This system uses the knowledge of that language and from hand-parsed sentences which were used as data set. It makes phrases of different words for processing. This diagram shows that how a sentence is parsed with the help of Stanford Parser.