Big Data and Small Data are not comparable.
Here we include a series of differences stablished by one of us (Ferrer-Roca O.) that are not complete and from which we appreciate any input.
|
Characteristics |
BIG DATA |
SMALL DATA |
| Belongs to | Governement/State | Individuals/Patient |
| Anonimized | YES | NO |
| Encripted | NO | YES |
| Processed in | The Cloud | The Fog |
| Response | Months / Years | Minutes / On time |
| Obtained from | Institutions/EHRs | Sensors / At home / PHR |
| Procesed by | Data Base tools | e-Agents |
| Stored by | Govern/Distributed | Individuals/ Personal Assistants |
| Stored in | Anywhere | Users’ country |
| Useful for | Decision makers | Individuals |
To whom it belongs, what to do with it and how to do it are the main differences.
For that reason it is serious to consider how to protect the small data that belong to individuals because it is not anonimized.
A summary of what is considered a Personal Health Data can be seen in the following link.
Personal Health Data
| Genetic → | Lifestyle → | Interventional → | Monitoring |
| Predisposition | Diet | Procedures | Continuous/Scheduled |
| Effectiveness | Exercise | Medications | Predictive |
| Family History | Health Habits | Visits/Admissions | Trends |
The year 2014 was considered the Year of the Small Data that furthermore was defined as follows: Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
We added the way of processing not in The Cloud, but in The Fog with all tools provided by Health 4.0
