#  Executive summary

This document presents SMARTFISH H2020 deliverable D11.3, Data Management Plan
(DMP). A data management plan is the key element of good data management.
SMARTFISH H2020 project’s datasets will be as open as possible and as closed
as necessary, focusing on sound data management for the sake of best research
practice, and in order to create value, and foster knowledge and technology
out of the data obtained in the project period.

The deliverable describes the data management life cycle for the data to be
collected, processed and/or generated by the SMARTFISH H2020 project,
accounting also for the necessity to make research data findable, accessible,
interoperable and reusable (FAIR). SMARTFISH H2020 partners will be encouraged
to adhere to sound data management to ensure that the obtained data is well-
managed, archived and preserved.

Data preservation is synonymous to data relevance since, when this is
achieved: (1) data can be reused by other researchers, (2) data collectors can
direct requests for data to the database itself, rather than addressing
potential requests for data individually, (3) preserved data can have the
potential to lead to new, unanticipated discoveries, (4) preserved data
prevents the duplication of scientific studies that have already been
conducted, and (5) archiving data insures against loss by the data collector.

The main issues addressed in this deliverable include: (1) the purpose of data
collection, (2) data type, format, size and beneficiaries, (3) use of
historical data, (4) making data FAIR, (5) data management support, (6) data
security, and (7) ethical aspects in terms of human subjects.

The ambition of SMARTFISH H2020 is to use data in an analytical way for the
fisheries, such as improved analysis of operational data, tools for planning
and operational choices, crowdsourcing methods for fish stock estimation.

#  SMARTFISH H2020 motivation and background

With an increasing pressure on marine resource extraction mounting with
resultant calls for sustainability in the sector, SMARTFISH H2020 will
develop, test and promote a suite of high-tech systems that will optimize
resource efficiency, improve automatic data collection, provide evidence of
compliance with fishery regulations and reduce the ecological impact of the
sector on the marine environment (Figure 1).

SMARTFISH H2020 will exploit and further develop existing technological
innovations in machine vision, camera technology, data processing, machine
learning, artificial intelligence, big data analysis, smartphones/tablets, LED
technology, acoustics and ROV technology. The developments will assist
commercial fishers throughout Europe in making informed decisions during pre-
catch, catch, and post-catch phases of the harvesting process.

SMARTFISH H2020 will also provide new data for stock assessment from
commercial fishing and improve the quality and quantity of data that comes
from traditional assessment surveys. This provides the potential for more
accurate assessment of fish stocks and allows for the assessment of stocks
that are currently data-poor and therefore difficult to manage. In addition,
the project will access automatically collected catch data from the fisheries
which will also allow for management regulations to gain higher compliance
rates.

**Technology Dimension/Facet Fishery test and**

Machine vision Extraction Stock assessment Monitoring **demonstration area**

Camera technology Barents Sea

**SMARTFISH System**

Data processing Norwegian Sea

Pre-catch size and species recognition for purse seine

Machine learning Seabed fish-finding system North Sea

Artifical intelligence Trawl entry monitoring and analysis system West of
Scotland

Big data analysis Trawl Smart Gear systems for affecting catch Kattegat &
Skagerrak

Catch analysis system for conveyor belts

Smartphones/Tablet Versatile Catch analysis system sample inspection Celtic
Sea

LED light technology Expert system for analysis of catch monitoring data Bay
of Biscay

Acoustic technology _Nephrops_ burrows detection and analysis system
Mediterranean Sea

SMARTFISH data handling system

ROV technology Black Sea

Unnecessary fishing pressure (reduces) **Impact** Damage to marine
environments (reduces) Data for Stock assessment Resource efficiency
(improves) Compliance check (provide)

Ecosystem damage (reduces) Energy efficiency (improves) Compliance (improve)
Social acceptability (improves) Economic efficiency (improves) Unintended
mortality (reduces)

Figure 1: Conceptual structure of SMARTFISH H2020

##  Role of the deliverable

The Data Management Plan presented in this deliverable is a partial fulfilment
of Task 11.4: Data

Management, where SMARTFISH H2020 emphasizes that it will _“…participate in
the Horizon 2020 Open_

_Research Data Pilot, and will therefore aim to make data publicly accessible
to the extent possible, while at the same time protecting sensitive data from
inappropriate access.”_

The task furthermore specifies that _“This task deals with defining the data
sets, deciding on standards for data and metadata, as well as sharing,
archiving and preserving data. The goal is to make data FAIR (findable,
accessible, interoperable and re-usable)”._

The FAIR principle ensures that data, in this case produced during the project
period, can be discovered through catalogues or search engines, is accessible
through open interfaces, compliant to standards to interoperable processing of
that data, and therefore can be easily being reused.

Given that a priority of this task is to define the data sets and decide on
standards for data and metadata, sharing, archiving and preservation of said
data, the role of the current deliverable is to set out the project plan for
the effectuation of this aim.

The plan will therefore include standards for data formats, metrics,
consistency and quality control as well as procedures for making data
available for sharing and for regular backups. The types of data that will be
generated during the project period include, but are not limited to:

  1. Test data collected in WPs 6-10. 

  

  2. R&D test results and analyses of test results 

  

  3. Analyses, reviews and reports of the catch equipment engineering literature 

  

  4. Software code and algorithms 

  

  5. Machine generated data 

  

  6. Patent analyses 

  

  7. Design data including CAD/CAM outputs 

  

  

We will discuss these in detail in the following sections.

##  Relationship with other deliverables

The deliverable presented in this document is related to the following
deliverables:

  * D11.1 – Title: Project Dissemination and Exploitation Plan (M3) 

  

  * D11.6 – Title: Updated Data Management Plan (M26) - This will be an update of the current deliverable. 

  

##  Contributors

The following partners have contributed to this deliverable:

  * SINTEF Ocean 

  

  * AZTI 

  

  * ZUNIBAL 

  

  * DTU AQUA 

  

#  Data Management

The SMARTFISH H2020 project will produce a large amount of data relating to
the development, adaptation and implementation of the proposed concept. The
project will also generate data on fishing vessels, fish schools, fish stocks,
catches and by-catches. Subsequently data management is as such a core aspect
of the Project, and it will also affect the dissemination and
commercialization activities in WP11. The data will also be used both
throughout and beyond the project period.

As such, data management is crucial to both the long-term end user benefits
and the impacts of the

SMARTFISH H2020 project. While the partner producing the data will retain the
exclusive rights to use the data for dissemination or to share their use with
other partners, the data will be made available among all the partners via the
secure data repository, accessible through login data that has been shared
with the WP leaders and assigned personnel specifically.

##  Standards to be used

All data generated and collected by the individual participants will be
curated and stored on secure servers according to the individual participant’s
current processes and standards. Each participant maintains the highest level
of security for all their databases and each has implemented a hierarchical
access system to prevent unauthorised, inappropriate or malicious data
manipulation or destruction. All data access, sharing and exploitation will be
subject to the relevant regulations and controls implemented through the Grant
Agreement between the participants and the EC/REA, and through the Consortium
Agreement.

All databases will continue to be maintained throughout and after the end of
the SMARTFISH H2020 project to enable verification and reuse of data by
consortium members and third parties as appropriate.

##  Background data

An Annex of the Consortium Agreement lists all the Background intellectual
property brought to the project by the participants for use in the project and
in the post-project exploitation phase. The participants may also specifically
exclude background IP from use in the project. This agreement is confidential
and limited to project participants.

##  Data from project period

All the data arising during the project will likewise be considered project
results, and subject to the regulations and controls implemented through the
Grant and Consortium Agreements. The data will form part of the project
results and will be treated as such with respect to the content of those
agreements.

###  Storage

Data will be curated and stored first by individual partners – according to
their current processes. The data from tests, etc. will be curated by the Task
Leaders and then the Work Package Leaders. Ultimate responsibility for
curation and preservation lies with the Coordinator however.

###  Open access

Everyone from citizens to civil servants, researchers and entrepreneurs can
benefit from open access data. In this respect, the aim is to make effective
use of open access data that already exists. This sort of data will already be
available in public domains and is not within the control of the SMARTFISH
H2020 project. All data available will be on a scale between closed and open
access. This is because there are variances in how information is shared
between the two points in the continuum. Closed data might be shared with
specific individuals within a corporate setting, or within a research group
for example. Open acess data on the other hand, though it may require the user
to give attribution to the contributing source, it will still be completely
available to the end user. Generally, open access data differs from closed
data in three key ways in that it is:

  1. Accessible, usually via a data warehouse on the internet; 

  

  2. Available in a readable format; 

  

  3. Licensed as open source, which will allow anyone to use the data or share it for noncommercial (or commercial) purposes. 

  

  

Closed data on the other hand restricts the user access to specific sources of
information in several potential ways, primarily in that it is:

  1. Only available to certain individuals within an organization; 

  

  2. Patented or proprietary; 

  

  3. Partially restricted to certain groups; 

  

  4. Open to the public through a license for fee or through some other prerequisite; 

  

  5. Difficult to access, such as paper records that still have not been digitized. 

  

  

An example of closed data for example may be information that requires a
security clearance; healthrelated information collected by a hospital or
insurance carrier, or even personal tax returns.

Though open access to data is the norm, the management of data is to ensure
that all project results/items of new knowledge are assessed for their value
and then protected, if required/desirable, before their exploitation and
dissemination as well. Therefore, some data, such as those pertaining to
patent applications or data having direct commercial value for commercial
fishers, will have to be kept as confidential until such time as it has been
declassified. The rules and timescales for establishing the need for
protection and for undertaking that protection is laid out in the Consortium
Agreement. They are designed to minimize any embargo so that timely scientific
and technical publications may be made during and following the project with
the minimum of delay.

In the SMARTFISH H2020 project, open access data will be published on an
OpenAire 3.0 compliant data repository, such as Zenodo (www.zenodo.org). All
other data will be closed access by default, curated on non-public data
repositories owned by the respective partner(s) that generated the data. This
closed access data may also be shared between the project consortium members.
Open access source code will be made available on the GitHub code repository
(www.github.org) as well as on Zenodo.

#  Types of data

SMARTFISH H2020 uses and needs different data types, formats and sources in
different work packages and regional seas. Below is an overview of the final
products to be produced in the project period and the data types, formats and
sources needed for each. This data inventory describes the required data. The
table includes the type of data, data ownership, management, use, distribution
and access rights to the data.

Table 1: Final products to be produced and data types, formats and sources
needed.  
  
<table>  
<tr>  
<th>

No.

</th>  
<th>

Products

</th>  
<th>

Data needs (use, distribution)

</th>  
<th>

Data format

</th>  
<th>

Data sources

(open access? Access rights?)

</th> </tr>  
<tr>  
<td>

1

</td>  
<td>

**SeinePrecog**

</td>  
<td>

R&D and testing use at

AZTI, ZUNIBAL,

SINTEF Ocean and

NTNU,

open access publication,

</td>  
<td>

Acoustic

echograms/Video Data,/Numerical Data Bases. (EK-60-80 Raw
data/*.mp4/*.avi/*.xls)

</td>  
<td>

Closed data shared among partners involved in R &

D and test at sea

</td> </tr>  
<tr>  
<td>

2

</td>  
<td>

**FishFinder**

</td>  
<td>

R&D and testing use at SINTEF Digital, Marport and DTU Aqua, open access
publication

</td>  
<td>

2- 4D camera images and video, acoustic echograms

</td>  
<td>

Closed access to test and R&D data, open access for R&D data used in
scientific publication

</td> </tr>  
<tr>  
<td>

3

</td>  
<td>

**TrawlMonitor**

</td>  
<td>

R&D and testing use at SINTEF Digital, Marport

and DTU Aqua, open access publication

</td>  
<td>

2- 4D camera images and video, acoustic echograms

</td>  
<td>

Closed access to test and R&D data, open access for select test and R&D data
used in scientific publication

</td> </tr>  
<tr>  
<td>

4

</td>  
<td>

**NephropsScan**

</td>  
<td>

R&D use at DTU and SINTEF Ocean, open

access publication, data set deposit at OpenAIREcompliant repository

</td>  
<td>

Unlabeled and labeled images and video

</td>  
<td>

Closed access to test and R&D data, open access for select test and R&D data
used in scientific publication

</td> </tr>  
<tr>  
<td>

5

</td>  
<td>

**SmartGear**

</td>  
<td>

R&D use at DTU and SINTEF Ocean, open

access publication, data set deposit at OpenAIREcompliant repository

</td>  
<td>

Unlabeled and labeled images and calibration parameters

</td>  
<td>

Closed access to test and R&D data, open access for select test and R&D data
used in scientific publication

</td> </tr>  
<tr>  
<td>

6

</td>  
<td>

**CatchScanner**

</td>  
<td>

Internal use at Melbu

Systems, R&D use at University of East Anglia and SINTEF Ocean

</td>  
<td>

Unlabeled and labeled images and calibration parameters

</td>  
<td>

Closed access

</td> </tr>  
<tr>  
<td>

7

</td>  
<td>

**CatchMonitor**

</td>  
<td>

R&D use at Marine Scotland and University of East Anglia, open access
publication, data set deposit at OpenAIREcompliant repository

</td>  
<td>

Unlabeled and labeled images and calibration parameters

</td>  
<td>

Closed access to test and R&D data, open access for select test and R&D data
used in scientific publication

</td> </tr>  
<tr>  
<td>

8

</td>  
<td>

**CatchSnap**

</td>  
<td>

R&D use at SINTEF Ocean, open access publication, data set deposit at
OpenAIREcompliant repository

</td>  
<td>

Unlabeled and labeled images, IMU data and calibration parameters

</td>  
<td>

Closed access to test and R&D data, open access for select test and R&D data
used in scientific publication

</td> </tr>  
<tr>  
<td>

9

</td>  
<td>

**FishData**

</td>  
<td>

R&D use at SINTEF Ocean and AZTI, open access publication.

</td>  
<td>

Time series from onboard systems in NetCDF format. Data from thirdparty
sources (e.g. web services) in various formats (e.g. JSON).

</td>  
<td>

Closed access to data from/about individual vessels and companies. Open access
to selected aggregate data and results on a fleet level.

</td> </tr> </table>

##  Test data collected in WPs 6-10

Two sets of test data will be collected in WP6, in two bottom trawl fisheries
in the Barents Sea – Atlantic cod and deep-water shrimps:

  1. From the CatchScanner prototype: This data will be used for R&D development and verification of CatchScanner for these fisheries. This data is closed-access, and will be curated by Melbu Systems on their local data repositories. For R&D purposes, this data will also be available for use by the University of East Anglia and SINTEF Ocean. 

  

  2. From pre-existing on-board equipment, instruments and sensors: This data will be collected through the FishData infrastructure. It will be used for R&D purposes within SINTEF Ocean and AZTI, for development, testing and demonstration of the FishData technology. 

  

  

Test data collected in WP7 will be from the CatchSnap prototype in three
fisheries – 1) Mediterranian

Sea multispecies demersal trawl fishery, 2) Black Sea purse seine fishery
targeting anchovy, and 3) Mediterranean/Aegean multi species purse seine
fishery. Most of this data will be closed access data in the form of
unlabelled and labelled images, IMU data and calibration parameters. Selected
data will be used in a scientific publication, and made available on the
OpenAire 3.0 repository Zenodo.

Test data collected in WP8 will involve multiple data sources, including
CatchScanner, CatchSnap and CatchMonitor. CatchScanner will be used to gather
data in a stock assessment survey in the North Sea. CatchSnap will be used to
gather data in Scottish demersal whitefish fishery and Moray Firth nephrops
fishery. CatchMonitor will be used to gather data in Scottish inshore scollop
dredge fishery.

Test data collected in WP9 will involve multiple data sources, including
CatchSnap and CatchMonitor. CatchSnap will be used to gather data in shellfish
pot fishery, Bay of Biscay purse seiners and Bay of Biscay demersal trawl
fishery. CathMonitor will be used to gather data in Celtic sea fishery.

Table 2: Collected test data from WPs 6-10 and use area in other WPs  
  
<table>  
<tr>  
<th>

**Work package**

</th>  
<th>

**Data source**

</th>  
<th>

**Use**

</th>  
<th>

**Comment**

</th>  
<th>

**Partner responsible**

</th> </tr>  
<tr>  
<td>

**WP1**

</td>  
<td>

SeinePrecog

</td>  
<td>

Development of Seine precog

</td>  
<td>

Closed access to outputs from EK60-80 Raw data.

</td>  
<td>

Azti/Zunibal

</td> </tr>  
<tr>  
<td>

</td>  
<td>

SeinePrecog

</td>  
<td>

Development of Seine precog

</td>  
<td>

Closed access to outputs from video camera files

</td>  
<td>

Azti/Sintef/Ntnu

</td> </tr>  
<tr>  
<td>

</td>  
<td>

SeinePrecog

</td>  
<td>

Analysis of results Seine precog

</td>  
<td>

Analysis from xcel, csv or txt files. Closed access

</td>  
<td>

Azti/Zunibal/ Sintef/Ntnu

</td> </tr>  
<tr>  
<td>

**WP2**

</td>  
<td>

Fishfinder

</td>  
<td>

Internal use, R&D use, scientific publications

</td>  
<td>

Closed access to outputs from camera and

acoustic files

</td>  
<td>

DTU/SINTEF

Digital/Marport

</td> </tr>  
<tr>  
<td>

</td>  
<td>

TrawlMonitor

</td>  
<td>

Internal use, R&D use, scientific publications

</td>  
<td>

Closed access to outputs from camera and

acoustic files

</td>  
<td>

DTU/SINTEF Digital/Marport

</td> </tr>  
<tr>  
<td>

**WP3**

</td>  
<td>

SmartGear

</td>  
<td>

Internal use, R&D use, scientific publications

</td>  
<td>

Closed access

</td>  
<td>

DTU/Marine

Scotland/CEFAS/

Marport

</td> </tr>  
<tr>  
<td>

**WP6**

</td>  
<td>

CatchScanner

</td>  
<td>

Internal use, R&D use

</td>  
<td>

Closed access

</td>  
<td>

Melbu Systems

</td> </tr>  
<tr>  
<td>

</td>  
<td>

Instruments and sensors onboard fishing vessel.

</td>  
<td>

Internal use,

R&D use

</td>  
<td>

Closed access

</td>  
<td>

SINTEF Ocean

</td> </tr>  
<tr>  
<td>

**WP7**

</td>  
<td>

CatchSnap

</td>  
<td>

Internal use, R&D use, scientific publication.

</td>  
<td>

Select data will be made open access

</td>  
<td>

SINTEF Ocean

</td> </tr>  
<tr>  
<td>

**WP8**

</td>  
<td>

CatchScanner

</td>  
<td>

Internal use, R&D use

</td>  
<td>

Closed access

</td>  
<td>

Melbu Systems

</td> </tr>  
<tr>  
<td>

</td>  
<td>

CatchSnap

</td>  
<td>

Internal use, R&D use, scientific publication.

</td>  
<td>

Select data will be made open access

</td>  
<td>

SINTEF Ocean

</td> </tr>  
<tr>  
<td>

</td>  
<td>

CatchMonitor

</td>  
<td>

Internal use, R&D use, scientific publication.

</td>  
<td>

Select data will be made open access

</td>  
<td>

University of East Anglia

</td> </tr>  
<tr>  
<td>

**WP9**

</td>  
<td>

CatchSnap

</td>  
<td>

Internal use, R&D use, scientific publication.

</td>  
<td>

Select data will be made open access

</td>  
<td>

SINTEF Ocean

</td> </tr>  
<tr>  
<td>

</td>  
<td>

CatchMonitor

</td>  
<td>

Internal use, R&D use, scientific publication.

</td>  
<td>

Select data will be made open access

</td>  
<td>

University of East Anglia

</td> </tr> </table>

##  Data from software code and algorithms

Data from CatchScanner software code and algorithms, tested in WP6 and WP8,
will be closed access and curated by Melbu Systems.

In concert with scientific publication of the CatchSnap tests, select
CatchSnap software code, tested in WP7, WP8 and WP9, will be made open source
on GitHub and also published Zenodo.

Table 3: Data from software code and algorithms  
  
<table>  
<tr>  
<th>

**Regional sea(s)**

</th>  
<th>

**Work**

**package(s)**

</th>  
<th>

**Instrument**

</th>  
<th>

**Data type**

</th>  
<th>

**Partner responsible**

</th> </tr>  
<tr>  
<td>

**Barents Sea, North Sea**

</td>  
<td>

WP6, WP8

</td>  
<td>

CatchScanner

</td>  
<td>

Software code and algorithms

</td>  
<td>

Melbu Systems

</td> </tr>  
<tr>  
<td>

**Mediterranean Sea, Black**

**Sea, Aegian Sea, Scotland,**

**Bay of Biscay, Moray Firth**

</td>  
<td>

WP7, WP8, WP9

</td>  
<td>

CatchSnap

</td>  
<td>

Software code and algorithms

</td>  
<td>

SINTEF Ocean

</td> </tr>  
<tr>  
<td>

**Scotland and Celtic Sea**

</td>  
<td>

WP8, WP9

</td>  
<td>

CatchMonitor

</td>  
<td>

Software code and algorithms

</td>  
<td>

University of East Anglia

</td> </tr>  
<tr>  
<td>

**Bay of**

**Biscay/Mediterranean/black sea**

</td>  
<td>

WP1

</td>  
<td>

Early and final prototypes of Seine precog

</td>  
<td>

EK-60-80 Raw data, video camera files, numerical databases. Acoustic

Algorithms.

</td>  
<td>

AZTI/ZUNIBAL

</td> </tr> </table>

#  Human subjects (GDPR)

Given that SMARTFISH will also involve stakeholders for consultation and
feedback, the project will adhere to Article 8 of the Charter of Fundamental
Rights of the European Union (2000/C 364/01)

_"Protection of personal data". This article emphasizes that citizens have the
right to protection of personal data, and such data "...must be processed
fairly for specified purposes and on the basis of the consent of the person
concerned..."._

Information from stakeholders will be collected through interviews and at
workshops after they have given their informed consent to participate in the
project. All data collected from stakeholders will be stored in a safe and
securely. However, the data collected are only to specify functional and
technical requirements for the different SMARTFISH H2020 systems to be
developed in the project. Therefore, no sensitive personal data are to be
collected, and as such, the project is waived from reporting the project in to
the NSD (Norwegian Centre for Research Data).

The potential human subjects and their confidentiality are protected by
obtaining approval from the Norwegian Centre for Research Data (NSD) in
Norway, which will then apply to all SMARTFISH participants regardless of
their Country, due to project ownership resting on a Norwegian partner (SINTEF
Ocean). All potential human participants and providers of data will only
participate and provide data after informed consent is secured orally or
written, as per the requirements from the NSD. Information letters about the
participants' rights to withdraw from the project at any time, and that their
personal data is confidential, is a requirement for all projects with human
subjects.

The approval will be kept on file and submitted upon request by the
coordinator to the Commission.

This is in accordance with article 34.2 of the Multi-Beneficiary General Model
Grant Agreement (H2020 General MGA – Multi). Further, any personal data
collected will also be processed in accordance with GDPR- (EU) 2016/679.
However, as clarified above no sensitive personal data are to be collected. In
addition, in case of potential presentation of the collected data from
stakeholder to third parties any identifiers like names that would enable
linking specific persons to the data will be removed prior to presentation.

In addition to stakeholder consultancy there may be data collected from CCTV
cameras installed on vessels. Therefore, identifiable human images of crew
members or others could potentially be collected. All involved participants
will be required to give their informed consent before the trials on the
vessels. In any case, the SMARTFISH systems developed and tested will be
focused on collecting and analyzing catch data from fishing. There will be no
focus on collecting human data and certainly not on analyzing any. Further,
for most systems and installation there is no risk of humans being visible in
the acquisition scene. In any case all CCTV camera collected data will be
stored in a safe and secure way and any potential data sharing will only
happen after consent has been obtained from involved stakeholders.

The data collected from stakeholders will consist of responses to questions
about what type of functionality, data, format of data, data presentation the
different SMARTFISH H2020 systems should be able to collect, process and
present to meet the needs of the fishing sector. Detailed information on the
informed consent procedures that will be implemented in regard to the
collection, storage and protection of personal data will be kept on file and
submitted on request.

We have attached an information letter that is sent out to potential
interviewees/workshop participants before the event, where they are informed
of their rights, and this can be found in Appendix (A).

#  A. Letter of Invitation – Stakeholders

In the case in which we conduct personal interviews, or have workshops, we
will inform the participants in writing with a letter provided either
electronically directly or indirectly via their organizations. The letter
(below) includes the following sections:

  * an introduction including a request for participation; 

  

  * which methods are to be used in gathering data, and what these methods entail for the participant; 

  

  * which institution is data controller (in this case, SINTEF Ocean as coordinator, and as such determines the purposes, conditions and means of the processing of personal data. The data controller is a formal position and involves requirements for compliance with a number of duties in the Personal Data Act; 

  

  * contact information of the researcher (or alternatively of the student and the supervisor) in the given case area where the survey or interview/workshops will take place – but it will be made explicit that the contact person does not know the identity of the persons invited; 

  

  * the purpose of the project and what the information will be used for; 

  

  * information that highlights that participation is voluntary and that the participants may withdraw their consent as long as the project is in progress, without stating the reason; 

  

  * information that the project is exempt from being reported to the Data Protection Official for Research at NSD – Norwegian Centre for Research Data because it does not collect any personal data; 

  

  * when the project will be completed; and 

  

  * who finances the project. 

  

**To Interviewee/Workshop participant in the SMARTFISH H2020 Project**

CONCERNING INTERVIEW ABOUT FISHERIES TECHNOLOGY AND STAKEHOLDER

PERCEPTIONS

We would like to extend our gratitude that you have agreed to participate as a
workshop

participant/interviewee in the SMARTFISH H2020 project. In light of this, we
would like to extend to you this letter so that you are informed about what
your participation consists of.

This participation in this workshop/interview is an essential part of the
SMARTFISH H2020 project coordinated by Dr. Bent Herrmann from SINTEF Ocean, a
research institute located in Trondheim, Norway. The purpose of your
participation in the SMARTFISH H2020 project is to give your expert opinion on
some of the suites of technologies that are being developed in the project
period in terms of applicability, use, relevance etc.

The data gathered for this project will be used in scholarly publications,
models and the final end products described in _www.smartfishh2020.eu_

The workshop/interview will be recorded by if you accept and will afterwards
be transcribed for accuracy of results and deleted. The emphasis is on
assuring that your opinions are recorded correctly.

When the results of the study are published in scholarly journals or
chronicles/opinion pieces in

Newspapers or other channels of communications, the material will be
anonymous, but your sector affiliation if applicable be included. You will be
informed when material related to the study is published if you wish.

We would like to draw your attention to the fact that you at any time may
choose to leave the interview and discontinue your participation.

If you have any questions, please contact________________________________ or
the project coordinator Dr. Bent Herrmann at SINTEF Ocean in Norway directly,
at +47 92200886 or _bent.herrmann@sintef.no_

Sincerely,

Name of facilitator in case area

If you would like to be kept informed via email and digital newsletters of the
results of the project, please write your email address on the sheet that is
circulating during the workshop/interview.