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AbstractOrganizational data describe central characteristics of organizations, their internal structures and processes as well as their behavior as corporate actors in different social and economic contexts. Firm and enterprise data are the most frequently used type of organizational data, but there is also a growing interest in data on schools, universities, and hospitals in the economic and social science research. In the last several years, there has been a substantial improvement in the accessibility and scientific usability of organizational data from official statistics. However, nonofficial organizational data produced within publicly funded research projects are practically impossible to obtain for secondary analyses. There is no documentation of the existing stock of non-official organizational data, and the methodological standards used for organizational research in Germany are low compared to the standards of international research. Against this background, it is recommended that efforts be focused on documenting and archiving the existing non-official organizational data for secondary analyses and on establishing higher methodological standards within this research field.
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Data organization refers to the process of systematically arranging and categorizing data to make it easier to find, access, and analyze. It involves structuring and labeling data in a logical manner, such as using folders, directories, or databases, and employing naming conventions or metadata to provide context and information about the data. Data organization helps to improve data management and efficiency, enabling effective data retrieval and usage.

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Q: What is data organization?
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Are they only two advantages of series file organization method?

No, there are more advantages of the series file organization method. Some other benefits include simplified data access, ease of data retrieval, reduced data duplication, and improved data consistency.


What is the data centralization?

Data centralization is the process of consolidating scattered data from various sources into a centralized repository. This helps improve data management, accessibility, and security by enabling easy storage, organization, and retrieval of data from a single location. Centralizing data can also enhance data analysis and decision-making processes by providing a comprehensive view of the organization's information.


Is data administrator and database administrator are same in DBMS?

No, a data administrator is responsible for ensuring the overall management of an organization's data assets and defining data policies, while a database administrator is responsible for managing and maintaining the organization's databases, ensuring they are secure, available, and performant. Both roles are critical in maintaining a well-functioning database management system (DBMS).


What is the difference between internal and external source of data?

An external source of data is a connection to an external data base and contains data that does not change much. The difference of internal source of data is data that can change because it comes from sources inside an organization including inventory transactions, purchase orders, and sales.


What are the differences between internal data and external data?

Internal data refers to data generated, stored, and managed within an organization, such as sales figures or employee records. External data, on the other hand, is data obtained from outside sources, such as market research reports or social media analytics. Internal data is typically more specific to the organization itself, while external data provides broader industry or market insights.

Related questions

What is linked organization in data structure?

Linked organization in data structure is the organization of data records that are linked together by references. These links are also known as connectors.


Logical organization of data?

logical organization


Who decides how and when data in an organization will be used and or controlled?

who decides how and when data in an organization will be used or controlled


What is the structure and organization of data in a database called?

Data hierarchy is the structure and organization of data, which involves fields, records, and files. (c) Bidgoly MIS2.


What defines how users view the organization of the data?

a data model


Why is data vital to an organization?

sorry


Organization and presentation of data in statistics?

The organization and presentation of data in statistics is a crucial stage. This is the only way that the data may be interpreted the right way and pass the intended message.


Why do organisation require internal and external auditors?

auditor check reliability of financial data of the organization, and he give assurance about financial data of an organization.


What is the most appropriate organization of data?

A database.


What is the main purpose of data governance?

The main purpose of data governance is to create a process of handling data within an organization that assures data is high quality, and that people can be held responsible for issues that arise from altering or creating data that negatively affects the organization.


Describe the need of MIS in an organization?

MIS or management information systems is the name given for data processing and so it is needed in an organization as it is able to process data so much faster than people could do it and because an organization has so much data to process MIS is essential for the smooth running of the organization.


What is defined as the smallest unit of data organization consisting of a specific category of data?

field