Data Exploration and Significance

The following is a set of information that would be looked into by the said service whenever it would be deployed. Please note that this list consists of both - the information that would be available for consumption by the service users as well as the information that would be available for computation and analysis to the service itself but not the service users, and there can be more such information apart from the ones listed below.

  1. Activity entry from Datanommer (For computation only)

  2. Username of the “subject” i.e. owner of the contribution (For computation only)

  3. Username of the “object” i.e. involved in the contribution (For computation only)

  4. Datetime data of a specific contribution activity (For computation only)

  5. Datetime data of a grouped contribution activity (For consumption only)

  6. Service where a specific contribution activity happened (For computation only)

  7. Service where a grouped contribution activity happened (For consumption only)

  8. Activity trends per username (For computation only)

Activity Entry from Datanommer

This data forms the most basic functional entity of a “contribution record”. An occurrence of an activity means that a contribution was made by the “subject” member on the “object” member and/or service with the “predicament” nature of the contribution at the “time” of it happening. A computed collection of these data can help form wider statistics for example - trend of contribution by a certain “subject” member, trend of contribution on a certain “service” etc. allowing us to answer questions like “which services are most active (and why) and least active (any why)?”, “what period of time attracts most contributions (and why)?” etc. As this data is intricate, it only serves its purpose when a computed group of those form statistics and not when it is singled out - and that is why this data is only used for computational purposes only.

Username of the “subject”

Alternatively, owner of the contribution.

This data is a part of the previously-stated “activity entry from Datanommer” data. In order to protect the privacy of the members involved in the aforementioned data, this information is anonymized as a hash and due to the fact that this data serves its purpose when a computed group of those form statistics and not when it is singled out - this data is only used for computational purposes only.

Username of the “object”

Alternatively, involved in the contribution.

This data is a part of the previously-stated “activity entry from Datanommer” data. In order to protect the privacy of the members involved in the aforementioned data, this information is anonymized as a hash and due to the fact that this data serves its purpose when a computed group of those form statistics and not when it is singled out - this data is only used for computational purposes only.

Datetime data of a specific contribution activity

This data is a part of the previously-stated “activity entry from Datanommer” data. Due to the fact that this data serves its purpose when a computed group of those form statistics and not when it is singled out - this data is only used for computational purposes only.

Datetime data of a grouped contribution actvitity

Being a derivative statistic obtained from a computed group of the previously stated “datetime of a specific contribution activity”, this can be used to understand the trend of contribution over a period of “time” for contributions of a certain “nature”, contributions over a period of “time” for contributions on a certain “service” etc. This understanding would help us answer questions like what timelines attract most contributions, what timelines do not have much of contributions etc. and gauge the success of activities such as events and workshops by helping answer if those were able to bring in contributions right after their commencement time. As a result, this data is available for user consumption by the service.

Service where a specific contribution activity happened

This data is a part of the previously-stated “activity entry from Datanommer” data. As this data is intricate, it only serves its purpose when a computed group of those form statistics and not when it is singled out - and that is why this data is only used for computational purposes only.

Service where a grouped contribution activity happened

Being a derivative statistic obtained from a computed group of the previously stated “service where a specific grouped contribution activity happened”, this can be used to understand the trend of contribution on a certain service and create comparisons of those against another to see how they fare in the contribution activities. This understanding would help us answer questions like what services are most active in terms of contributons and what services are not and gauge the usability of those services by knowing what makes those services desirable (i.e. inferred from favourable contribution statistics) and undesirable (i.e. inferred from unfavourable contribution statistics) to direct what service to be contributed to. As a result, this data is available for user consumptions by the service.