Introduction

In order to correctly use and reuse and interpret data within a research infrastructure, and cross research infrastructures their evolutionary history must be known in detail.

This history covers all the steps of the pathway of data:

• data acquisition:detailed information about scientific question and investigation design, observation or measurement methods, measurement devices and so forth is needed,
• data curation: exact description of QA measurements (flagging and annotation of data),data replication
• data publication: which data were accessed, which data are not accessable (the selection of data can strongly influence any further results of data processing), which query was carried out and when
• data processing: which method was used for further processing (aggregation of data, transformation, modelling)
• data interpretation: scientific knowledge drawn out of data plus the theories behind.

It is important to point out, that knowing the evolutionary history of data is important for any use and reuse of data: use and reuse within institutes ( reuse some years after the investigation was made, reuse by other persons within institutes), use and reuse within Research Infrastructure and cross Research Infrastructures.

Inter alia provenance can help to avoid undetected duplication of datasets.

In order to have information on those steps, their description has to be tracked in the so called “data provenance” and made available to data users.

The requirements questionnaire with focus on provenance intends to collect whether provenance was so far already considered in the RI's data lifecycle and if so which system is in use. If this was to date not implemented the next set of questions is grouped about the RI's possible interest in provenance tracking: which type of information should be tracked, which standard to rely on and finally which sort of support is expected by ENVRIplus. 

with help from go betweens and others she co-­opts.

Overview and summary of provenance requirements

<The overview and summary should be written (integrated and distilled) by the topic leader(s), highlighting commonalities and reporting significant variations. It should be refined and agreed by the go-betweens who contributed to this topic. In particular, they should check that critical points have not been missed and that a balance has been attained.>

Research Infrastructures

The following RIs contributed to developing provenance requirements

<Delete from the following list any that were not able to contribute on this topic>

<Add an interest inducing sentence or two, to persuade readers to look at the contribution by a particular RI. e.g., What aspect of the summary of requirements, or the special cases, came from this RI. Check with RIs that they feel they are correctly presented.>