Data Management in brief
Unprecedented advances in recent decades have enabled researchers to collect an abundance of scientific and clinical data. Research emerging from this data can only be excellent when the underlying data handling practices are of the highest standards, too. Data practices must be professional, transparently documented, and – most importantly – reproducible.
In the clinical research setting, data management professionals supply the infrastructure and expertise needed to run affordable and high-quality databases. These contributions ensure that data collection can comply with regulations and be efficiently retrieved and processed, so it is in line with the original research goals.
Study data collection must adhere to Good Clinical Practice, the Swiss Human Research Act, legal and ethical considerations, and international regulations. With the support of their data management peers, researchers can establish databases which serve their research needs, that stand up to scrutiny and allow regular reporting, data cleaning, and automatic validation.
Would you like to know how the experts in the Data Management Platform are channeling their efforts? For more information, consult the fact sheet below.