Deliverable 1.2

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Deliverable D1.2 - Data Management Plan


As part of the Pilot Action on Open Access to Research Data in Horizon 2020, participants in PrimeFish will have to create a Data Management Plan (DMP). The Data Management Plans included in this document outlines the general information regarding each data set, covering several subjects all relevant to data management and the possible reuse of data sets. Each data management plan (DMP) gives an overview on what sort of data the data set contains, and what (if any) standards are being used. Information about the content of the data set includes both an overview of the different variables included as well as metadata. This goes for both data extracted from existing sources as well as data developed over the course of the PrimeFish-project.

A major focal point of the Pilot Action on Open Access to Research Data is the possibility of sharing and reusing data sets. Each DMP outlines whether or not access to the data is (semi-)restricted to certain institutions or if it is available without restrictions. In any case, the DMP describes who has the right to use to it, and how it might be accessed. This includes access procedures, which repository the data is stored in, etc. It also details possible barriers to dissemination such as the need for certain software, language barriers, etc.

As the possibilities of reusing and sharing data depends on, among other things, the methods used for preserving and archiving the data sets, procedures for long-term storage of data are also outlined. This section details for how long the data set will be preserved (for a given time period or indefinite), methods of backup, the possibility of future incongruence between the extracted data and the original sources due to periodical updates of the latter one, etc.

All submitted data management plans are included in the appendix of this document. They are grouped according to the corresponding work package (WP). The data management plans within are listed first according to sub-task where this has been provided. If no task-number has been listed, they have been placed in no particular order. Where possible, the corresponding WP- and task-number is listed for each DMP along with the institution. In cases where two or more identical data management plans were submitted for different tasks, these have been included as only one form.



A DMP-template was distributed among all project participants, along with instructions on how to fill out the form. Instructions were given both by e-mail and through a separate, and more detailed, "explanation-file" (both the template and explanation are included in the appendix). The information requested in the DMP-template was meant to form the basis for deliverables 1.1 and 1.2 ("Guidelines on data collection methods", and the "Data Management Plan", respectively). A draft of the deliverable containing all submitted forms was sent out to the project participants in order to be reviewed. The deliverable was later edited based on the feedback provided by the participants.


The Data Managements Plans provided in this document give a detailed overview on the essential elements in the corresponding data sets. They have been reworked based on feedback provided by the project participants. However, the process has highlighted some slight difficulties concerning both the level of detail provided and the potential for harmonization between DMPs. Different data sets corresponds to different WPs, all of whom have different schedules. As a result, the amount of information regarding the data sets might vary greatly depending on how far along in the process each participant is at any given time. It also appears that the project participants have interpreted the DMP requirements differently, leading to different ways of filling out the form. This is turn has made harmonizing between DMPs difficult.


We wish to thank all the project participants who have contributed to the completion of this deliverable.


  • Guidelines on Data Management in Horizon 2020. Version 1, Dec. 11. 2013.
  • Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020. Version 2.0, Oct. 30th. 2015.




Data set reference and name Herring – Questionnaire on productivity development and growth potential
WP/Task/Partner WP2 – Task 2.1 – TTZ Bremerhaven
Data set description Data set consists of qualitative results from questioning experts in the field of trading or producing herring on elements that may shape productivity development and the potential for growth.
Standards and metadata
  • Metadata (e.g. gender, size of company or country) will be described on an extra sheet within an excel file e.g.
  • In case of using SPSS for storing and handling the data, metadata are directly entered into the SPSS-file as labels.
  • Data contains both numbers and text/string variables.
  • The preliminary dataset-structure is rows=interviewees, and columns= variables/questions.
  • Transcripted data/personal data and coded/anonymized data are stored in separate files.
Data sharing
  • Data is stored at TTZ on a server that is only accessible for employees of TTZ.
  • The data is saved in different formats: .xls (Microsoft Excel), .txt, .sav (SPSS 22).
  • Data can be shared if necessary, provided all personal information from the interviewees is anonymized and if they have agreed to share data under these conditions. It can be sent by e-mail.
Archiving and preservation
  • All data at TTZ is saved and stored on a central server. The server is mirrored several times a week.
  • If not deleted by coincidence, the data will be available as long as necessary.
Data set reference and name Herring – Case study data on economic performance 2000-2012
WP/Task/Partner WP2 – Task 2.1.2

Aalborg University

Data set description Economic performance and prices

Two data set will be used to assess the economic performance at sector level:

The vessel and segment economic data from statistics Denmark:

  • Full economic key indicators as average data for the vessels in the segment

Stock levels (status) from ICES stock assessments.

  • Development in the SSB of the main stock of herring and mackerel fished by the segment.
Standards and metadata
  • Data are stored in Excel.
  • Purpose of data will be recorded.
  • Time and date of creation will be recorded.
  • Creator and author will be recorded.
  • Location of creation will be recorded.
  • Metadata at Statistics Denmark ( and Ministry of Environment and Food, The Danish AgriFish agency (
Data sharing i
  • Raw data is publically available from original source.
  • Processed data will be shared to partners through the project’s homepage.
  • Data will be downloadable in Excel format in English.
Archiving and preservation
  • Raw data is archived and preserved with original source.
  • Processed data is archived and preserved at the AAU server, which is mirrored on a daily basis and will be kept in the project period and longer according to PrimeFish agreements
Data set reference and name Several sectors – Price and sale information on the European seafood market, 2000-to date
WP/Task/Partner WP2 – Kontali
Data set description The data set contains weekly/monthly information on first sale, wholesale, import and retail prices and yearly info on consumption, landings, import/export, processing and aquaculture.

The data is collected from EUMOFA (European Market Observatory for Fisheries and Aquaculture products).

Standards and metadata
  • Metadata is available at (to be renewed in Dec.2015/Jan. 2016)
  • Period: 2000 – up to data (will vary)
Data sharing The EUMOFA data is publically available with
  • 7 pre-defined queries for weekly data and tool for extracting data (ad-hoc)
  • 16 pre-defined queries for monthly data and tool for extracting data (ad-hoc)
  • 11 pre-defined queries for yearly data and tool for extracting data (ad-hoc)
Archiving and preservation EUMOFA server maintained and updated by the EUMOFA consortium
Data set reference and name Groundfish/cod – Price and volume information, 2006-to date
WP/Task/Partner WP2 – Kontali
Data set description The data set contains data on volumes (catch/landing, supply/market) and price developments for groundfish/cod in different whitefish markets.

The data is gathered by Kontali.

Standards and metadata Groundfish Weekly Update

Kontali Monthly Cod Report

  • Data is saved in Excel-format
  • Publications are in pdf-format (subscription)
  • Period: 2006 – up to data
Data sharing *In-house data may be available for non-commercial use upon request.
Archiving and preservation
  • Data is archived and preserved with original source.
  • Data compiled for Kontali purpose is stored on an in-house server

Data set reference and name

Pelagic – Price, volumes and industry structure, 2000-to date

WP/Task/Partner WP2 – Kontali
Data set description The data set contains various information on herring, mackerel and capelin. It includes quotes, catches/landings, export prices and –volumes, import, stock, as well as figures on fish meal and –oil production and export. The data stems from various countries.

It is collected by Kontali.

Standards and metadata Kontali Pelagic Weekly Update

Kontali Monthly Pelagic report Pelagic world

  • Period: 2000 – up to data
  • Data is saved in Excel-format
  • Publications in pdf-format (subscription)
Data sharing *In-house data may be available for non-commercial use upon request.
Archiving and preservation
  • Data is archived and preserved with original source.
  • Data compiled for Kontali purpose is stored on an in-house server