Tips For Data Management in Research

EM Admin
Jan 29, 2019
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How do you manage data in your company?

If you really want to get the intelligence out of them in the future, you should have a proper management. Only streamlined data architecture can help you to pull out a desirable pattern. Thereby, you can push it into the funnel of analysis. Eventually, you get a lot of solutions that can repair the dents in your business operations, sales or marketing.

In the nutshell, the organized data provide with unprecedented resources to stem up business intelligence for transformation. Simply put, you get a ton of profit and benefits that you might not have imagined before.

Help yourself with these tips for data management in research:

Data Management in Research:

1. Data recovery: How do you retrieve when any physical damage, like corrupted hard disk causes data loss? How can you reinstall the lost files that you have lost while formatting the drive? The possibility of accidental loss of data is also there.

Lacking proper data management can leave you in the critical situation. Think about a hypothetical situation. What if a reputed outsourcing data management company accidentally deleted its client’s crucial files? Undoubtedly, it’ll stain its repute. Its goodwill will doom. After all, your carelessness has destroyed building blocks of the research prospects. So, you should know the ways to recover that loss. For example – you can retrieve the data from a corrupted hard disk through these steps:

Download and install disk drill for data recovery in Windows & OS X.
Download the Disk Drill (a recovery software)> crash hard disk> scan.
Select the lost files from the list of all data.
Hit the ‘recovery’ tab. And, you’re done with it.

2. Define data policy: It’s motivated from your business profile. While keeping your discipline and domain in mind, form strict protocols for managing the data. Otherwise, you can be booked for uninformed reasons.

Recall the critical situation when the European Union had to blueprint the General Data Protection Regulation (GDPR) directives. The Cambridge Analytica (CA) scam was the mother of its formulation. However, it derived psychological predictions for supporting multiple businesses and political goals. Nobody had ever thought of data-bomb. But, it actually formed & exploded. The analytical observations were proximal to what the data subjects thought of. Consequently, the predictions to manipulate the referendum were blueprinted. And, they hit the bull’s eye. Eventually, the researchers and analysts alleged that America got Donald Trump as its president due to hard-core data research and the relevant prophecies.

3. Form a team: Data management is a team effort. You can’t tap a button to organize terabytes of data in a few minutes. Even though, you have the software, like Zoho HRMS, you need an IT expert to take care of seamless networking, a quality analyst to screen any discrepancy in management, a data entry executive to input feeds and an authority to device passwords for authenticating its access.

4. Checklist of what to store: The management of data would a great success if it’s preset what to manage where and how. You should segment the pan data into valid categories and sub-categories. Thereafter, define the server or drive where a specific dataset should be placed. Jot down the names of authorized persons who possess authority to access & work with.

5. Data management plan: Do you have the one? It’s pivotal to plan the pan data management system. It should comprise these:

Define typical roles of the data management team.
Assign responsibilities to its staff.
Segregate data according to various processes, like data cleansing, extraction, validation and de-duplication etc.
Define the method of conveying it to various administrations.
Draft privacy policies.
Premeditate challenges.
Analyze the performance of every data process.