What are the Principles for the Data Management ?

Fundamentally, organizations will have the opportunity to choose to use principles and practices that provide maximum benefit to the organization or be faced with information and data chaos. This choice will be a difficult one with the every increasing explosion of information and data from multiple sources.

For those organizations who make the choice to maximize the benefits of data management will initiate changes that are structured around sound business principles and practices. Some organizations define a  data management policy which outline principles and practices entail embracing data management in a number of ways by:

• engaging all business professionals to develop data resource to ensure contemporary understanding and use.
• defining comprehensive data definitions to improve productivity of organization.
• developing formal naming structures for searching and access purposes.
• tracking of data changes for authenticity and appropriateness for problem-solving.
• initiating data quality initiatives to address disparate data and implications on contemporary decision-making.
• structuring data integrity rules that support current business rules while minimizing costly data errors that impact business decisions.
• developing a corporate-based data resource focused on business objects and events in the organization.
• having readily available and properly protected corporate-based data with business responsibilities clearly defined.

For those organizations who make this choice, they will be able to address rapidly changing business and technological environments maximizing the overall business mission and goals.

Dear Yaseen,

Principles for the Data Management are vari field to field .I mean diffrent rule sets are for public health and diffrent for secuirty servies field .

Key Concept

How It Relates to Responsible Conduct of Research

Data Ownership

This pertains to who has the legal rights to the data and who retains the data after the project is completed, including the PI's right to transfer data between institutions.

Data Collection

This pertains to collecting project data in a consistent, systematic manner (i.e., reliability) and establishing an ongoing system for evaluating and recording changes to the project protocol (i.e., validity).

Data Storage

This concerns the amount of data that should be stored --enough so that project results can be reconstructed.

Data Protection

This relates to protecting written and electronic data from physical damage and protecting data integrity, including damage from tampering or theft.

Data Retention

This refers to the length of time one needs to keep the project data according to the sponsor's or funder's guidelines. It also includes secure destruction of data.

Data Analysis

This pertains to how raw data are chosen, evaluated, and interpreted into meaningful and significant conclusions that other researchers and the public can understand and use.

Data Sharing

This concerns how project data and research results are disseminated to other researchers and the general public, and when data should not be shared.

Data Reporting

This pertains to the publication of conclusive findings, both positive and negative, after the project is completed.

if you are intersted I have complete book on data management principles .

regards

Shahzad