Appendix A Common Requirements of Environmental Research Infrastructures

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	Data Quality Checking	Functionality that detects and corrects (or removes) corrupt, inconsistent or inaccurate records from data sets.
B.2	Data Quality Verification	Functionality that supports manual quality checking.
B.3	Data Identification	Functionality that assigns (global) permanent unique identifiers to data products.
B.4	Data Cataloguing	Functionality that associates a data object with one or more metadata objects which contain data descriptions.
B.5	Data Product Generation	Functionality that processes data against requirement specifications and standardised formats and descriptions. (optional/may be null)
B.6	Data Versioning	Functionality that assigns a new version to each state change of data, allows to add and update some metadata descriptions for each version, and allows to select, access or delete a version of data.
B.7	Workflow Enactment	Functionality that interprets predefined process descriptions and control the instantiation of processes and sequencing of activities, adding work items to the work lists and invoking application tools as necessary.
B.8	Data Storage & Preservation	Functionality that deposits (over long-term) the data and metadata or other supplementary data and methods according to specified policies, and makes them accessible on request.
B.9	Data Replication	Functionality that creates, deletes and maintains the consistency of copies of a data set on multiple storage devices.
B.10	Replica Synchronisation	Functionality that exports a packet of data from on replica, transports it to one or more other replicas and imports and applies the changes in the packet to an existing replica.

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