Appendix A Common Requirements of Environmental Research Infrastructures

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The following tables describe the common requirements environmental research infrastructures. The requirements are divided in five sets that correspond to the five stages of the datalifecycle. The requirements highlighted on each table are the minimal model.

Data Acquisition (A)

  Functions Definitions
A.1 Instrument Integration Functionality that creates, edits and deletes a sensor.
A.2 Instrument Configuration Functionality that sets-up a sensor or a sensor network.
A.3 Instrument Calibration Functionality that controls and records the process of aligning or testing a sensor against dependable standards or specified verification processes.
A.4 Instrument Access Functionality that reads and/or updates the state of a sensor.
A.5 Configuration Logging Functionality that collects configuration information or (run-time) messages from a sensor (or a sensor network) and outputs into log files or specified media which can be used by routine troubleshooting and in incident handling.
A.6 Instrument Monitoring Functionality that checks the state of a sensor or a sensor network which can be done periodically or when triggered by events.
A.7 Parameter/Data Visualisation Functionality that outputs the values of parameters and measured variables a display device.
A.8 Real-Time Parameter/Data Visualisation Specialisation of (Parameter) Visualisation which is subject to a real-time constraint.
A.9 Process Control Functionality that receives input status, applies a set of logic statements or control algorithms, and generates a set of analogue / digital outputs to change the logic states of devices.
A.10 Data Collection Functionality that obtains digital values from a sensor instrument, associating consistent timestamps and necessary metadata.
A.11 Real-Time Data Collection Specialisation of Data Collection which is subject to a real-time constraint.
A.12 Data Sampling Functionality that selects a subset of individuals from within a statistical population to estimate characteristics of the whole population.
A.13 Noise Reduction Functionality that removes noise from scientific data.
A.14 Data Transmission Functionality that transfers data over communication channel using specified network protocols.
A.15 Real-Time Data Transmission Specialisation of Data Transmission which handles data streams using specified real-time transport protocols.
A.16 Data Transmission Monitoring Functionality that checks and reports the status of data transferring process against specified performance criteria.

Data Curation (B)

  Functions Definitions
B.1 Example Example
B.2 Example Example
B.3 Example Example
B.4 Example Example
B.5 Example Example
B.6 Example Example
B.7 Example Example
B.8 Example Example
B.9 Example Example
B.10 Example Example

Data Publishing (C)

  Functions Definitions
C.1 Example Example
C.2 Example Example
C.3 Example Example
C.4 Example Example
C.5 Example Example
C.6 Example Example
C.7 Example Example
C.8 Example Example
C.9 Example Example
C.10 Example Example
C.11 Example Example
C.12 Example Example
C.13 Example Example
C.14 Example Example
C.15 Example Example

Data Processing (D)

  Functions Definitions
D.1 Example Example
D.2 Example Example
D.3 Example Example
D.4 Example Example
D.5 Example Example
D.6 Example Example
D.7 Example Example
D.8 Example Example
D.9 Example Example
D.10 Example Example

Data Use (E)

  Functions Definitions
E.1 Example Example
E.2 Example Example
E.3 Example Example
E.4 Example Example
E.5 Example Example
E.6 Example Example
E.7 Example Example