Data management is a distinctive and peculiar process among other research activities as it involves both the researcher and the research organization. Simultaneously, it benefits both parties by handing out enhanced research impact, greater reputation and higher return on investment (ROI).
A sound data management procedure should increase the pace of the research, effective results, easy access;storage and sharing of data. Thus, it becomes an absolute requisite for researchers and principal investigators to come up with and seek efficient data management plans to avail research grants.
PhDstatistics has come up with an effective agenda to reach beneficiaries such as integrity of data, confidentiality and quality by leveraging the following steps:
Although data management could seem harrowing to undertake, one need not apply a big bang approach to it. Instead we at PhDstatistics try to prioritize on target areas in need of improved governance.
Thanks to our divergent and disparate information architectures available, the availability and accessibility of data has been made easier. We infer data integration techniques and practices to access data.
A researcher will have greater insights into the data, but it could be tedious for one to understand the integrity of the same in terms of situations where quality issues could continue or worsen. We aid in providing statistical tools to cleanse data.
We apply pre-determined quality metrics to identify and classify information. Data profiling helps us ensure the quality of data and enhance it according to the standards of the research organization.
To protect one’s intellectual property and ensure data quality one needs to identify parts where improvement is mandatory. We apply data monitoring instruments and statistical tools for data analysis to enhance existing data and add complementary data.
We have established an accountability infrastructure that defines policies and practices to researchers. We provide technologies to hold data integrity as manual practices to hold responsibilities can aggravate existing problems.
We help researchers in upgrading from a transaction data-based culture to high valued data management system by instilling core entities. This enables in identifying, linking and synchronizing data through heterogeneous sources.
We ensure continued assessment and management of data by employing graphical and real-time tools for monitoring. We devise forums to enable collaboration and interpretation of data through queries and comments.
We aid in creating effective storage systems and documenting valuable information under them to prevent data corruption and potential loss.
We organize the data in records for easy access for validating the results of research and speeding up the dissemination process providing additional visibility.
We make sure to meet legal obligations under data retention and sharing to maintain the integrity and accuracy of data. We undertake the presidency of your research to increase its value and impact in the knowledge arena.