Deliverable D1.1 - Guidelines for data collection methods, data names and types, and granularity
The various work packages in PrimeFish cover several different aspects of the economic sustainability and competitiveness of the European seafood sector. This entails a substantial amount of diverse data including, but not limited to, data on price development, socio-economic factors, supply chain relations, consumer behaviour etc. The project will use both already existing data extracted from various databases or other sources, as well as data generated in connection to PrimeFish. Having a uniform approach to not only the data collection, but also the standardisation and analysis methods is needed for several reasons. Firstly, to ensure that sufficient data is produced and gathered for each case. Secondly, to have a uniform approach to naming and interpreting the data. Thirdly, that there is a comparable level of detail and granularity in each case, and lastly, to make the data available in a uniform way to all relevant parties. The information provided for all submitted data sets are included in the appendix of this document. The forms are grouped according to the corresponding work package (WP). Forms where the work package-number was not listed have been included under "non-specific WP". The forms are further subdivided by task-number where possible. If no task-number has been indicated, they are placed in no particular order. The header for each data set is the same as the header for each corresponding data set in D1.2, and can thus be used as a reference for further information regarding the different data sets. The order of the data sets is the same in both deliverables.
This deliverable, D1.1, is closely tied to D1.2 - "Data Management Plan". As part of D1.2, participants in PrimeFish were asked to create a Data Management Plan (DMP). A DMP-template was distributed among the project participants, along with instructions on how to fill out the form. The form contained questions regarding details on the data elements, metadata, data sharing procedures, archiving/preservation procedures and the overall structure of the data set. The majority of the information provided made up the data management plan in D1.2, but it also formed the basis for D1.1. The data set names have been edited to better reflect the content of the data set. These follow a standardised form (Sector – Nation/Region – Data description – Time period).
Deliverable 1.1 "Guidelines for data collection methods, data names and types, and granularity" focuses on namely what the title suggests, and provides a report with information on the different methods used in each data set. This includes methods on data collection for both extracted and generated data, as well as the use of names, standards and types.
The amount of information for each data set varies depending on the level of detail provided by each participant. The reason for this might be partly due to the project participants being responsible for different tasks - all of whom are on different time schedules. The amount of information provided thus largely depends on how far along the process each participant is. The different types of data used also dictates what kind of information is relevant in each case. Qualitative and quantitative data sets different limits on the extent to which one can identify standards.
We wish to thank all the project participants who have contributed to the completion of this deliverable.