#  Introduction

Through participation in the Open Research Data initiative, and through the
creation of a data management plan (DMP), PrimeFish aims to make research data
FAIR:

  * Findable 

  

  * Accessible 

  

  * Interoperable 

  

  * Reusable 

  

The Data Management Plan summaries general information regarding each data
set, covering several subjects all relevant to data management and the
possible reuse of data sets. This goes for both data extracted from existing
sources as well as data developed over the course of the PrimeFish-project.
The data management plan forms outlines how research data will be handled
during and after the project, what type of data has been collected/generated,
whether the data will be made openly accessible after project end, access
procedures, barriers to using it such as language and software requirements,
potential ethical issues, and costs associated with research data archiving
and storage.

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.

#  Methods

A DMP-template (see "Original template" in Appendix) 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, describing the required information. The information
requested in the original DMP-template formed the basis for deliverables 1.1
and 1.2 ("Guidelines on data collection methods", and the "Data Management
Plan", respectively). The DMP-form was later updated (see "New template" in
Appendix) to better reflect the FAIR data principles, as well as to better
showcase any issues related to topics such as ethics and data security, in
those instances where it is relevant. The deliverable has been circulated
among all participants once per 18-month reporting period and has been updated
based on the feedback provided by the participants.

#  Conclusion

The Data Managements Plans provided in this document give a detailed overview
on the essential elements in the corresponding data sets. Due to the datasets
containing different types of data, i.e. both quantitative (e.g. catch data,
statistical data, etc.) and qualitative (interview data), not all forms
contain the same level of detail regarding the information provided. Certain
topics, such as interoperability, the use of standards, licensing issues, etc.
are therefore not applicable for all datasets.

There are no extra costs associated with making the data available to the
public nor ensuring longterm storage for any of the datasets, regardless of
whether they are original datasets available on public databases or if they
are generated within the project and made available on in-house repositories.
Regarding ethics, PrimeFish applies and adheres to ethical standards and
guidelines associated with proper scientific conduct. For the majority of
datasets, there are no extraordinary ethical concerns. For certain datasets,
such as those containing interview data, measures have been taken to ensure
anonymity for both companies and individuals, including not releasing
interview raw data. For more information on ethics, see relevant sections in
the DoA and deliverables.

Most datasets are based on either pre-rendered datasets or datasets generated
from public statistics databases. For these datasets, only a link to the
original data source has been provided, along with instructions on how to
obtain access. Certain datasets generated within the PrimeFish project have
been uploaded to open access repositories hosted by the different
institutions, and been given a permanent digital object identifier (DOI). For
datasets generated within the project, and where the institutions responsible
does not have an in-house open access repository, a PrimeFish community has
been created on Zenodo. The community can be accessed from
_https://zenodo.org/communities/primefish/_ .  Not all datasets have been
uploaded on the PrimeFish community on Zenodo, but these are still findable
through the DOI. Deliverables and reports from the project, which also display
the data that underpins the scientific work, are available on the PrimeFish
homepage  _http://www.primefish.eu/_ .