Data collection and Data Management

[Megbukkie]

Data collection and Data Management

Data Collection is the process of collecting and measuring the data on targeted variables through a thoroughly established system to evaluate outcomes by answering relevant questions.

Some of the different data collecting sources:

• Collecting new data from internet and other sources
• Using the previously collected and stored data
• Reusing someone else’s data
• Purchasing data

The data collection methods depend on the following:

• The research problem under study
• The research design
• The information gathered about the variable.

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.

The data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible. Most of the required work is done by IT and data management teams, but business users typically also participate in some parts of the process to ensure that the data meets their needs and to get them on board with policies governing its use.

This comprehensive guide to data management further explains what it is and provides insight on the individual disciplines it includes, best practices for managing data, challenges that organizations face and the business benefits of a successful data management strategy.

Different types data management as per its collection methods:

As per the collection method, the managing of the data will require different management methods, which include:

Quantitative information
It is the numerical information obtained from research methods like surveys of populations and repeated experimental procedures. During their recording, it is pertinent to include detailed information like dates, place of collection, units of measurements, and its methods.

Qualitative Information:
Non numerical information which is collected in the form of video and audio is the qualitative information. It could be transcribed in the written form later.

Working your data:

The data the researcher collects is often in the bulky form, which needs to be summarized before getting conclusions from them. It may be in the form of spreadsheets of numerical data, transcripts or interviews or descriptions.

Presenting your data:

When writing a thesis it is essential to portray the data in the form of tables, figures, to demonstrate the point profoundly.

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[KAMENA]

It is important for the project manager to gather data on the work that has already been executed in the project to compare the plan against what is actually happening. Once the data is collected and reviewed, it should be determined if action is necessary. Without the data, project managers may not be able to make decisions based on how the project is progressing, more specifically, making sure the costs are within budget. By gathering data as work is executed, project managers can make decisions before the project is over and performance is presented to stakeholders

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