Searched over 200M research papers for "data management"
10 papers analyzed
These studies suggest data management is essential across various fields, including Big Data, executive information systems, eScience, clinical research, and automated decision systems, addressing issues like data security, ownership, integrity, and regulatory compliance.
20 papers analyzed
Data management is a critical aspect of modern research and organizational operations, encompassing the collection, storage, processing, and analysis of data. Effective data management ensures data integrity, security, and accessibility, which are essential for accurate analysis and decision-making.
Data Management Processes:
Technological and Methodological Approaches:
Challenges and Issues:
Sector-Specific Applications:
Regulatory and Ethical Considerations:
Effective data management is a multifaceted process that is essential for ensuring data integrity, security, and accessibility across various fields. It involves a combination of technological solutions and adherence to regulatory and ethical standards. Addressing the challenges of data security, ownership, and standards is crucial for the success of data-intensive applications. As data continues to play a pivotal role in research and decision-making, responsible data management practices will remain a cornerstone of scientific and organizational integrity.
Most relevant research papers on this topic
What is the Social media's role in modern protest movements?
preeclampsia
are all babies female at conception
groundwater high spatial variability between the coupled and non-coupled with MODFLOW
is 5 mins of sun enough
How much Glucosamine/Chondroitin (for joint health) should I take daily?