concept   data management

11 commonsense assertions
Cultures (11) European countries (1) Germany (1) small businesses (1) academic research institutions (1) Developing countries (1) Elderly communities (1) Informal community groups (1) Rural areas (1) Tech-savvy urban populations (1) Technology-focused companies (1) laboratory worker (1)
# Concept Culture Statement Freq.
1 data management European countries European countries prioritize secure storage, analysis, and compliance with data protection laws in businesses for data management. 4
2 data management Germany Data management in German offices heavily emphasizes integrity, privacy, and security with strict practices and regulations. 3
3 data management small businesses Due to limited resources, small businesses rely on manual and ad hoc data management methods. 3
4 data management academic research institutions Academic research institutions prioritize organized and documented data for research integrity and reproducibility. 2
5 data management Developing countries Developing countries have less emphasis on digital data management and rely more on traditional paper-based record-keeping. 1
6 data management Elderly communities Elderly communities prefer traditional methods of data management. 1
7 data management Informal community groups Informal community groups often have a less structured approach to data management, relying on informal oral communication and memory. 1
8 data management Rural areas Data management in rural areas relies more on traditional paper-based record-keeping rather than digital systems. 1
9 data management Tech-savvy urban populations Urban populations that are tech-savvy have a high adoption of digital tools for managing their personal data. 1
10 data management Technology-focused companies Technology-focused companies utilize advanced data management systems and tools for efficient data storage and retrieval. 1
11 data management laboratory worker Maintaining accurate records and ensuring data integrity are critical for reproducibility and validation in lab work. 1