#  INTRODUCTION

SEA TITAN project participates in the Pilot on Open Research Data (ORD)
launched by the European Commission (EC) along with the H2020 programme [1].
This pilot is part of the Open Access to Scientific Publications and Research
Data programme in H2020. The goal of the programme is to foster access to
research data generated in H2020 projects. The use of a Data Management Plan
(DMP) is required for all projects participating in the Open Research Data

Pilot.

Open access is defined as the practice of providing on-line access to
scientific information that is free of charge to the reader and that is
reusable. In the context of research and innovation, scientific information
can refer to peer-reviewed scientific research articles or research data.

Research data refers to information, in particular facts or numbers, collected
to be examined and considered and as a basis for reasoning, discussion, or
calculation. In a research context, examples of data include statistics,
results of experiments, measurements, observations resulting from fieldwork,
survey results, interview recordings and images. The focus is on research data
that is available in digital form.

The Consortium strongly believes in the concepts of open science, and in the
benefits that the European innovation ecosystem and economy can draw from
allowing the reuse of data at a larger scale.

Furthermore, there is a need to gather experience in wave technology,
especially power performance and operating data. In fact, there has been very
limited experience in wave energy, which is essential in order to fully
understand the challenges in device performance and reliability. The limited
data and experience that currently exists are rarely shared, as testing is
partly private-sponsored.

This project proposes to remove this roadblock by delivering for the first
time, open access, highquality power take-off (PTO) performance, reliability
and operational data to the wave energy development community.

Nevertheless, data sharing in the open domain can be restricted as a
legitimate reason to protect results that can reasonably be expected to be
commercially or industrially exploited. Strategies to limit such restrictions
will include anonymizing or aggregating data, agreeing on a limited embargo
period or publishing selected datasets.

##  Purpose of the Data Management Plan

The purpose of the DMP is to provide an analysis of the main elements of the
data management policy that will be used by the Consortium with regard to the
project research data.

The DMP covers the complete research data life cycle. It describes the types
of research data that will be generated or collected during the project, the
standards that will be used, how the research data will be preserved and what
parts of the datasets will be shared for verification or reuse. It also
reflects the current state of the Consortium agreements on data management and
must be consistent with exploitation and IPR requirements.

The DMP is not a fixed document, but will evolve during the lifespan of the
project, particularly whenever significant changes arise such as dataset
updates or changes in Consortium policies.

This document is the first version of the DMP, delivered in Month 3 of the
project. It includes an overview of the datasets to be produced by the
project, and the specific conditions that are attached to them. The next
versions of the DMP will get into more detail and describe the practical data
management procedures implemented by the SEA TITAN. At a minimum, the DMP will
be updated in Month 18 (D8.6) and Month 36 (D8.7) respectively. This document
has been prepared by taking into account the “Template horizon 2020 data
management plan (DMP)” [Version 1.0. of 10 October 2016] and additional
consideration described in ANNEX I: KEY PRINCIPLES FOR OPEN ACCESS TO RESEARCH
DATA.

##  Research Data Types in SEA TITAN

For this first release, the DMP highlights the data types expected to be
produced during SEA TITAN project life span, these datasets will be revised on
next iterations of the document if found redundant or insufficient.

According to such consideration, Table 1 reports a list of indicative types of
research data that SEA TITAN will produce. This list may be adapted with the
addition or removal of datasets in the next versions of the DMP to take into
consideration the project developments. A detailed description of each dataset
is given in the following sections of this document.  
  
<table>  
<tr>  
<th>

#

</th>  
<th>

Dataset reference

</th>  
<th>

Lead partner

</th>  
<th>

Related WP(s)

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

1

</td>  
<td>

DS_AMSRM_Performance

</td>  
<td>

CIEMAT

</td>  
<td>

WP2, WP3, WP4, WP5

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

2

</td>  
<td>

DS_AMSRM_Feasibility

</td>  
<td>

CIEMAT

</td>  
<td>

WP2, WP3, WP4, WP5

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

3

</td>  
<td>

DS_Cooling_System_performance

</td>  
<td>

CIEMAT

</td>  
<td>

WP6

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

###  Table 1. SEA TITAN types of data

Specific datasets may be associated to scientific publications (i.e.
underlying data), public project reports and other raw data or curated data
not directly attributable to a publication. The policy for open access are
summarized in the following picture.

Research data linked to exploitable results will not be put into the open
domain if they compromise its commercialization prospects or have inadequate
protection, which is a H2020 obligation. The rest of research data will be
deposited in an open access repository. When the research data is linked to a
scientific publication, the provisions described in ANNEX II: SCIENTIFIC
PUBLICATIONS will be followed.

Research data needed to validate the results presented in the publication
should be deposited at the same time for “Gold” Open Access ( _Authors make a
one-off payment to the publisher so that the scientific publication is
immediately published in open access mode_ ) or before the end of the embargo
period for “Green” Open Access ( _Due to the contractual conditions of the
publisher, the scientific publication can undergo an embargo period up to six
months since publication date before the author can deposit the published
article or the final peer-reviewed manuscript in open access mode_ ).
Underlying research data will consist of selected parts of the general
datasets generated, and for which the decision of making that part public has
been made.

Other datasets will be related to any public report or be useful for the
research community. They will be selected parts of the general datasets
generated or full dataset and be published as soon as possible.

##  Responsibilities

Each SEA TITAN partner has to respect the policies set out in this DMP.
Datasets have to be created, managed and stored appropriately and in line with
applicable legislation.

The Project Coordinator has a particular responsibility to ensure that data
shared through the SEA TITAN website are easily available, but also that
backups are performed and that proprietary data are secured.

WEDGE GLOBAL, as WP1 leader, will ensure dataset integrity and compatibility
for its use during the project lifetime by different partners.

Validation and registration of datasets and metadata is the responsibility of
the partner that generates the data in the WP. Metadata constitutes an
underlying definition or description of the datasets and facilitate finding
and working with particular instances of data.

Backing up data for sharing through open access repositories is the
responsibility of the partner possessing the data. Quality control of these
data is the responsibility of the relevant WP leader, supported by the Project
Coordinator.

If datasets are updated, the partner that possesses the data has the
responsibility to manage the different versions and to make sure that the
latest version is available in the case of publicly available data.

WP1 will provide naming and version conventions. Last but not least, all
partners must consult the concerned partner(s) before publishing data in the
open domain that can be associated to an exploitable result.

#  DATASETS DESCRIPTION

##  DS_AMSRM_PERFORMANCE

Along the AMSRM development, the representative variables to be obtained
during the different design and testing procedures are separated in the
different stages: calculation of specifications and experimental tests
performance.

**Calculation of the specifications of the PTO**

During the simulation of the system, corresponding to WP2, the data obtained
to define and place the linear generator in the different WEC technologies
will be:

  * Available space. (Length, width, height) 

  

  * Maximum stroke 

  

  * Maximum velocity 

  

  * Maximum force 

  

After evaluating the WECs in different scenarios proposed for each WEC
technology, different values of: force, velocity and stroke will be obtained.

This data will be private, only shared internally for the project partners,
since they are sensible data corresponding to the involved technologies.

**Experimental tests performance**

Finally, during the laboratory test performance, accomplished in WP5, a set of
data will be collected, for each of the scenarios tested, corresponding to one
type of WEC technology and a certain sea location, reproducing a certain sea
state:

  * Force values as a function of the current applied to the generator phases, for different velocities and current levels. 

  

  * Output power, supplied to the grid as a function of the force and velocity. Mechanical power will be also calculated, obtaining a complete global efficiency map. 

  

This data will be mostly public, since it is considered they are part of the
results obtained from the project and part of the dissemination plan.

##  DS_AMSRM_FEASIBILITY

The data set are obtained as a result of the design stage of the PTO solution.
Based on that solution, a PTO module will be defined to develop a prototype.
During the design of both the linear generator, the power converters and the
control platform, corresponding to WP3, different variables will be defined as
a result of the calculations:

  * Based on Finite Elements Method (FEM) analysis, force map depending on the position, velocity and the current level. Force validation will demonstrate the feasibility of the proposed solution. 

  

  * Losses provided by the losses model, depending on the position, velocity and current level. 

  

  * Expected efficiency map depending on the position, velocity and current level. The losses model and efficiency map will allow to develop an energy matrix to explore the economic feasibility of the system when it is applied to the different WEC technologies. 

  

  * Thermal behaviour will be analysed along the different operation situations defined, validating the feasibility of the system. 

  

This data will be private, only some of these data will be shared internally
for the project partners, since they are sensible data corresponding to the
know-how of the machine.

##  DS_COOLING_SYSTEM_PERFORMANCE

Related to the thermal behaviour of the system, considering that PTO will be
evaluated for different WEC technologies and sea states, it will be analised
in those scenarios the time evolution of temperature in the following points:

\- At the linear generator: temperature at the machine coils (at least two
measurements), translator magnetic circuit and bearings (at least two
measurements) - At the power electronic converters: IGBT case, water cooling
fluid, ambient.

Related to the SLSG, since only calculation and preliminary design is
accomplished during the project, no thermal data will be provided. However,
the superconducting solution requires, as one of the main results of the
solution definition, a cryostat, being the system in charge of taking the
system to the required low temperature. Anyway, only a engineering solution
will be defined, no results or data set.

#  STANDARDS AND METADATA

This aspect will be defined as part of task 7.3 Standardization activities,
identification and analysis of related existing standards and the contribution
to the ongoing and future standardization developments from the results of the
project.

The participation of a Standardization Body (UNE) provides the relevance,
knowledge and experience in the standardization system and its internal
procedures. Other project partners will provide the technical support to the
development of this task.

It is expected to fulfill an analysis of the applicable standardization
landscape by M6 and to define in detail the contribution to the ongoing and
future standardization developments by M36. As so this part of the document
will be updated as soon as more information is available for the consortium.

#  DATA SHARING

During the lifecycle of the SEA-TITAN project datasets will be stored and
systematically organized in a database. An online data query tool will be
operational by Month 18 and for open dissemination by Month 24. The database
schema and the quarriable fields, will be also publicly available to the
database users as a way to better understand the database itself. In addition
to the project database, relevant datasets will be also stored in ZENODO [5],
which is the open access repository of the Open Access Infrastructure for
Research in Europe, OpenAIRE [4].

Data access policy will be unrestricted if no confidentiality or IPR issues
are expected by the relevant Work Package leader in consensus with the Project
Coordinator. All collected datasets will be disseminated without an embargo
period unless linked to a green open access publication.

Otherwise, in order to protect the commercial and industrial prospects of
exploitable results aggregated data will be used in order to limit this
restriction. The aggregated dataset will be disseminated as soon as possible.
In the case of the underlying data of a publication this might imply an
embargo period for green open access publications.

Data objects will be deposited in ZENODO under:

  * Open access to data files and metadata and data files provided over standard protocols such as HTTP and OAI-PMH. 

  

  * Use and reuse of data permitted. 

  

  * Privacy of its users protected. 

  

#  ARCHIVING AND PRESERVATION

The SEA-TITAN project database will be designed to remain operational for at
least 5 years after project end. By the end of the project, the final dataset
will be transferred to the ZENODO repository, which ensures sustainable
archiving of the final research data. Items deposited in ZENODO will be
retained for the lifetime of the repository, which is currently the lifetime
of the host laboratory CERN and has an experimental programme defined for at
least the next 20 years.

Metadata and persistent identifiers in Zenodo are stored in a PostgreSQL
instance operated on CERN’s Database on Demand infrastructure with 12-hourly
backup cycle with one backup sent to tape storage once a week. Metadata is in
addition indexed in an Elasticsearch cluster for fast and powerful searching.
Metadata is stored in JSON format in PostgreSQL in a structure described by
versioned JSONSchemas. All changes to metadata records on Zenodo are versioned
and happening inside database transactions. In addition to the metadata and
data storage, Zenodo relies on Redis for caching and RabbitMQ and python
Celery for distributed background jobs.