#  1\. INTRODUCTION

##  1.1 OPERA MOTIVATION

The OPERA project participates in the Pilot on Open Research Data launched by
the European Commission (EC) along with the H2020 programme. 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 open sea operating
conditions, structural and power performance and operating data in wave
energy. In fact, there has been very limited open sea experience in wave
energy, which is essential in order to fully understand the challenges in
device performance, survivability and reliability. The limited operating 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, high-quality open sea operating 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 anonymising or aggregating data, agreeing on a limited embargo
period or publishing selected datasets.

##  1.2 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.

**FIGURE 1.1: RESEARCH DATA LIFE CYCLE (ADAPTED FROM UK DATA ARCHIVE [1] )**

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 6 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 OPERA project with reference with the
IT tools developed in WP1. At a minimum, the DMP will be updated in Month 18
(D8.6) and Month 30 (D8.7) respectively.

This document has been produced following the EC guidelines for project
participating in this pilot and additional consideration described in ANNEX I:
KEY PRINCIPLES FOR OPEN ACCESS TO RESEARCH DATA.

##  1.3 RESEARCH DATA TYPES IN OPERA

For this first release of DMP, the data types that will be produced during the
project are focused on the Description of the Action (DoA) and on the results
obtained in the first months of the project.

According to such consideration, Table 1.1 reports a list of indicative types
of research data that OPERA will produce. These research data types have been
mainly defined in WP1, including data structures, sampling and processing
requirements, as well as relevant standards. 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 1.1: OPERA TYPES
OF DATA**  
  
<table>  
<tr>  
<th>

**#**

</th>  
<th>

**Dataset**

</th>  
<th>

**Lead partner**

</th>  
<th>

**Related WP(s)**

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

**1**

</td>  
<td>

Environmental monitoring

</td>  
<td>

TECNALIA

</td>  
<td>

WP1

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

**2**

</td>  
<td>

Mooring performance

</td>  
<td>

UNEXE

</td>  
<td>

WP1, WP2, WP5

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

**3**

</td>  
<td>

Biradial performance

</td>  
<td>

IST

</td>  
<td>

WP1, WP3

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

**4**

</td>  
<td>

Power output

</td>  
<td>

OCEANTEC

</td>  
<td>

WP1, WP4, WP5

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

**5**

</td>  
<td>

Power quality

</td>  
<td>

UCC

</td>  
<td>

WP1, WP5

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

**6**

</td>  
<td>

Offshore operations

</td>  
<td>

TECNALIA

</td>  
<td>

WP6

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

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
summarised in the following picture.

**FIGURE 1.2: RESEARCH DATA OPTIONS AND TIMING**

Research data linked to exploitable results will not be put into the open
domain if they compromise its commercialisation 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  1  or before the end of the
embargo period for “Green” Open Access  2  . 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 datasets (i.e. up to 2 years of key operating data), and be
published as soon as possible.

**1.4**

**RESPONSIBIL**

**ITIES**

Each OPERA 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 OPERA website are easily available, but also that backups
are performed and that proprietary data are secured.

OCEANTEC, 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 publically 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.

#  2\. ENVIRONMENTAL MONITORING

##  2.1 DATASET REFERENCE AND NAME

DS_Environmental_Monitoring

**2.2**

**DATASET DESCRIPTION**

The DS_Environmental_Monitoring datasets mainly consists of several wave
parameters (such as wave Hs, Tp, direction and spreading), but may also
include wind, tide, current and temperature parameters. These numeric datasets
will be directly obtained through observations, and derived using statistical
parameters and models. In the latter, specialist software may be needed for
further processing of data.

Environmental monitoring data will be collected at two locations, namely the
Mutriku shoreline plant and the open sea test site BiMEP.

Currently at Mutriku, the single environmental parameter collected is the wave
elevation in the Oscillating Water Column. In order to increase the
characterisation of the wave resource, a new wave instrument will be installed
about 300 m off the shoreline for approximately 6 months. It will be of the
bottom mounted pressure gauge type.

The BiMEP reference buoy is the main wave instrument for the test site Fugro-
OCEANOR Wavescan buoy, deployed in March 2009, recording almost continuously
except for a significant gap from January 2013 to April 2014. This wave
instrument records 17 minutes heave, pitch and roll time series, from which
omnidirectional and directional spectra can be estimated, as well as standard
sea-state parameters. It is located at about 1.1 km to the WSW of the
prototype deployment. Additionally, a surface following buoy will be installed
close to the prototype for the research activities of the project at BiMEP for
approximately two years.

In general, environmental monitoring datasets will be useful for further
research activities beyond the scope of OPERA objectives. Metocean
observations are common practice for different uses. Dataset could be
integrated and reused, particularly for the characterisation of wave resource
and the estimation of device performance. They will be also valuable for
technology developers who plan to test their devices at either Mutriku or
BiMEP.

Although the raw datasets are useful by themselves, it is the objective of the
OPERA project to use the dataset as a basis for at least one scientific
publication.

##  2.3 STANDARDS AND METADATA

There have been many discussions for processing data and information in
oceanography. Many useful ideas have been developed and put into practice, but
there have been few successful attempts to develop and implement international
standards in managing data.

The Ocean Data Standards Project [2] contains an extensive number of
references on Oceanographic Data Management and Exchange Standards. It
includes references on Metadata, Date and Time, Lat/Lon/Alt, Country names,
Platform instances, Platform types, Science Words, Instruments, Units,
Projects, Institutions, Parameters, Quality Assurance and Quality Control.

The ISO 19156:2011 defines a conceptual schema for observations, and for
features involved in sampling when making observations. These provide models
for the exchange of information describing observation acts and their results,
both within and between different scientific and technical communities.

Additionally, regarding the wave energy application, the relevant standard is
the technical specification for wave energy resource assessment and
characterization IEC TS 62600-101 [4]

.

The environmental monitoring system will be integrated in the existing IT
infrastructure at Mutriku and BiMEP. A SCADA system will be developed that
allows partners to access monitoring information locally and remotely.
TECNALIA will be responsible for version control and validation dataset of
datasets to be shared open access.

**2.4**

**DATA SHARING**

During the lifecycle of the OPERA project datasets will be stored and
systematically organised in a database tailored to comply with the
requirements of WP1 (for more details on the database architecture, please see
D1.1 Process instrumentation definition). An online data query tool will be
operational by Month 12 and for open dissemination by Month 18. The database
schema and the queryable 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 [6] .

Data access policy will be unrestricted since no confidentiality or IPR issues
are expected regarding the environmental monitoring datasets. All collected
datasets will be disseminated without an embargo period unless linked to a
green open access publication. 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. 

  

##  2.5 ARCHIVING AND PRESERVATION

The OPERA project database will be designed to remain operational for 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 the at least next 20 years. Data files and
metadata are backed up on a nightly basis, as well as replicated in multiple
copies in the online system. All data files are stored along with a MD5
checksum of the file content. Regular checks of files against their checksums
are made.

#  3\. MOORING PERFORMANCE

##  3.1 DATASET REFERENCE AND NAME

DS_Mooring_Performance

**3.2**

**DATASET DESCRIPTION**

The DS_Mooring_Performance datasets consists of extreme loads and motion
response (6 DOF) to different sea states for the mooring lines. Mooring
performance data will be both experimental and observational, raw and derived
(using statistical parameters and models).

Experimental data will be collected at the DMAC facility in UNEXE [7] . These
tests will be focused on the characterisation of design load behaviour,
fatigue and durability of several elastomeric tether specimens. Raw data will
be used. Selected parts of the experimental datasets generated will be made
public.

Field tests will be conducted at the open sea test site at BiMEP. A mooring
condition monitoring will be implemented for the project consisting of 4 load
shackles deployed in two mooring nodes of the prototype. Extreme loads and
motion response to different sea states will be monitored. The loading data
will be combined with the environmental monitoring dataset to derive the final
mooring performance dataset. Selected parts of the field test datasets
generated will be made public.

The mooring performance dataset will be useful to inform technology
compliance, survivability and reliability as well as economical improvements.
They will be also valuable for the certification processes of other technology
developers.

This dataset will be the basis for at least one scientific publication.

##  3.3 STANDARDS AND METADATA

In order to ensure the required compatibility, this dataset will use the same
ocean data standards than the previous environmental monitoring dataset for
data and metadata capture/creation.

The offshore standard DNVGL-OS-E301 [8] contains criteria, technical
requirements and guidelines on design and construction of position mooring
systems. The objective of this standard shall give a uniform level of safety
for mooring systems, consisting of chain, steel wire ropes and fibre rope.
Besides, regarding the wave energy application, the relevant standard is the
technical specification for assessment of mooring system for Marine Energy
Converters (MECs) IEC TS 62600-10 [9] .

During the OPERA project, a SCADA system will be developed that allows
partners to access monitoring information locally and remotely. UNEXE will be
responsible for version control and validation dataset of datasets to be
shared open access.

**3.4**

**DATA SHARING**

As it has been described before, during the lifecycle of the OPERA project
datasets will be stored and systematically organised in a database tailored to
comply with the requirements of WP1. An online data query tool will be
operational by Month 12 and for open dissemination by Month 18. The database
schema and the queryable fields will be also publicly available to the
database users as a way to better understand the database itself.

Full data access policy will be restricted to WP2 participants, in order to
protect the commercial and industrial prospects of exploitable results (ER1
and ER3). However, 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, permitting its use and reuse, as well as protecting privacy of its
users.

##  3.5 ARCHIVING AND PRESERVATION

As it has been described before, the OPERA project database will be designed
to remain operational for 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.

#  4\. BIRADIAL TURBINE PERFORMANCE

##  4.1 DATASET REFERENCE AND NAME

DS_Biradial_Turbine_Performance

**4.2**

**DATASET DESCRIPTION**

The DS_Biradial_Turbine_Performance datasets mainly consists of internal water
level, chamber pressure/temperature/humidity, rotation speed and torque to
assess turbine efficiency in response to different sea states. Biradial
turbine performance data will be both experimental and observational, raw and
derived (using statistical parameters and models).

Experimental data will be collected at existing rig in IST Turbomachinery
Laboratory for tests in varying unidirectional flow. Built-in sensors will
measure rpm, pressure differential across rotor, vibration and generator
temperature, voltage and current. Raw data will be used. Selected parts of the
experimental datasets generated will be made public.

Field tests will be conducted both at Mutriku shoreline plant and the BiMEP
open sea test site.

Testing at Mutriku will assess turbine performance and collect extensive data
on drivers of components fatigue such as high rpm and accelerations;
electrical, temperature and pressure load cycles; humidity in the cabinet
(which exacerbates electrical stress damages); rate of salt accumulation and
corrosion.

Similar data will be collected at BiMEP and results will be compared.
Additionally, lowfrequency accelerometers will assess loads on the rotor and
bearings.

The loading data will be combined with the environmental monitoring dataset to
derive the final biradial turbine performance dataset. Non-dimensional values,
aggregated data and selected parts of the field test datasets generated will
be made public.

The biradial turbine performance dataset will be useful to assess turbine
efficiency and reliability.

This dataset will be the basis for at least one scientific publication.

##  4.3 STANDARDS AND METADATA

In order to ensure the required compatibility, this dataset will use the same
ocean data standards than the previous environmental monitoring dataset for
data and metadata capture/creation.

DNV GL will advise on applicable rules and standards to ensure appropriate
design and data capture for open ocean operating conditions.

During the OPERA project, a SCADA system will be developed that allows
partners to access monitoring information locally and remotely. IST will be
responsible for version control and validation dataset of datasets to be
shared open access.

**4.4**

**DATA SHARING**

OPERA project datasets will be stored and systematically organised in a
database tailored to comply with the requirements of WP1. An online data query
tool will be operational by Month 12 and for open dissemination by Month 18.
The database schema and the queryable fields, will be also publicly available
to the database users as a way to better understand the database itself.

Full data access policy will be restricted to WP3 participants, in order to
protect the commercial and industrial prospects of exploitable results (ER1
and ER2). However, 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, permitting its use and reuse, as well as protecting privacy of its
users.

##  4.5 ARCHIVING AND PRESERVATION

As it has been described before, the OPERA project database will be designed
to remain operational for 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.

#  5\. POWER OUTPUT

##  5.1 DATASET REFERENCE AN

DS_Power_Output

**5.2**

**DATASET DESCRIPTION**

The DS_Power_Output datasets mainly consists of generator speed, voltage,
frequency and electric power. Power output data will be both experimental and
observational, raw and derived such as mean, standard deviation, minimum and
maximum values.

Experimental data will be collected at electrical test rigs of UCC [10] and
TECNALIA [11] . Field tests data will be collected at Mutriku shoreline plant
and at the BiMEP open sea test site. Numerical models will be also used to
extend the dataset beyond sea-trials data. In the latter, specialist software
may be needed for further processing the data. Selected parts of the generated
datasets generated will be made public.

Power output data will be useful to identify sources of uncertainty in power
performance prediction. They will be also valuable for the certification
processes of other technology developers.

This dataset will be the basis for at least one scientific publication.

##  5.3 STANDARDS AND METADATA

In order to ensure the required compatibility, this dataset will use the same
ocean data standards than the previous environmental monitoring dataset for
data and metadata capture/creation.

Additionally, regarding the wave energy application, the relevant standards
are the technical specification on power performance assessment of electricity
producing wave energy converters IEC TS 62600-100 [12] , and the technical
specification on wave energy converter power performance assessment at a
second location using measured assessment data IEC TS 62600-102 [13] .

As indicated in the technical specifications, the datasets shall provide a
record of sea state and electrical power production over time. Each aggregated
data record shall be date and time stamped using ISO 8601\. The records shall
be annotated with quality control flags giving the results of the quality
control checks carried out during recording and analysis.

A SCADA system will be developed that allows partners to access monitoring
information locally and remotely. OCEANTEC will be responsible for version
control and validation dataset of datasets to be shared open access.

**5.4**

**DATA SHARING**

During the lifecycle of the OPERA project datasets will be stored and
systematically organised in a database tailored to comply with the
requirements of WP1. An online data query tool will be operational by Month 12
and for open dissemination by Month 18. The database schema and the queryable
fields, will be also publicly available to the database users as a way to
better understand the database itself.

Full data access policy will be restricted to WP4 and WP5 participants, in
order to protect the commercial and industrial prospects of exploitable
results (ER1, ER4 and ER6). However, 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, permitting its use and reuse, as well as protecting privacy of its
users.

##  5.5 ARCHIVING AND PRESERVATION

As it has been described before, the OPERA project database will be designed
to remain operational for 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.

#  6\. POWER QUALITY

##  6.1 DATASET REFERENCE AN

DS_Power_Quality

**6.2**

**DATASET DESCRIPTION**

The DS_Power_Quality datasets consists of current, voltage, power quality
characteristic parameters (such as voltage fluctuations, harmonics, inter-
harmonics, active/reactive power, and flicker). Power quality data will be
both experimental and observational, raw and derived (using statistical
parameters and models).

Experimental data will be collected at electrical test rig of UCC [10]. Field
tests data will be collected at the Mutriku shoreline plant. Simulated models
may be used to assess the power quality for other operating conditions, such
as varying control algorithms, resource conditions, grid strengths, and
control using a dry-lab to create a wider profile for the WEC. In the latter,
specialist software may be needed for further processing the data. Selected
parts of the experimental datasets generated will be made public.

In Mutriku, data will be collected from both a single turbine and the plant as
a whole, obtaining valuable conclusions about how aggregation of multiple
turbines affects the power quality. Non-dimensional values, aggregated data
and selected parts of the Mutriku field test datasets generated will be made
public.

Power quality data will be useful to identify sources of uncertainty in power
performance prediction. They will be also valuable for the certification
processes of other technology developers.

This dataset will be the basis for at least one scientific publication.

##  6.3 STANDARDS AND METADATA

In order to ensure the required compatibility, this dataset will use the same
ocean data standards than the previous environmental monitoring dataset for
data and metadata capture/creation.

Additionally, regarding the wave energy application, the relevant standards
are the technical specification on electrical power quality requirements for
wave, tidal and other water current energy converters IEC TS 62600-30 [14] .

Further instructions on processing harmonic current components are given in
IEC 61000-47:2002 [15] , for power supply systems and equipment connected
thereto.

A SCADA system will be developed that allows partners to access monitoring
information locally and remotely. UCC will be responsible for version control
and validation dataset of datasets to be shared open access. Additional
attention must be given to integrating and combining the power quality
datasets with others due to the largely varying timescales.

**6.4**

**DATA SHARING**

Datasets will be stored and systematically organised in a database tailored to
comply with the requirements of WP1. An online data query tool will be
operational by Month 12 and for open dissemination by Month 18\. The database
schema and the queryable fields, will be also publicly available to the
database users as a way to better understand the database itself.

Full data access policy will be restricted to WP5 participants, in order to
protect the commercial and industrial prospects of exploitable results (ER1,
ER4 and ER6). However, 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, permitting its use and reuse, as well as protecting privacy of its
users.

##  6.5 ARCHIVING AND PRESERVATION

The OPERA project database will be designed to remain operational for 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.

#  7\. OFFSHORE OPERATIONS

##  7.1 DATASET REFERENCE AN

DS_Offsohre_Operations

**7.2**

**DATASET DESCRIPTION**

The DS_Offsohre_Operations datasets consists of failures, type of maintenance,
offshore resources (such as vessels, equipment, personnel, parts and
consumables), health & safety, and activity log.

Offshore Operations data will be observational and derived.

Field tests will be conducted at the BiMEP open sea test site. The offshore
operations data will be combined with the environmental monitoring dataset to
derive the final dataset. Full datasets will be made public.

Offshore operations data will be useful to reduce the uncertainty on the
determination of risk and cost of offshore operations, and to optimise these
activities. The offshore logistics experience can be extrapolated to different
scenarios of larger deployment with a view to more accurately assess the
economies of scale and identify logistics bottlenecks when deployed in large
arrays.

Although the raw datasets are useful by themselves, it is the objective of the
OPERA project to use the dataset as a basis for at least one scientific
publication.

##  7.3 STANDARDS AND METADATA

Unlike the previous datasets, these are not based on process instrumentation
and therefore will not be stored in the WP1 database. This dataset can be
imported from, and exported to a CSV, TXT or Excel file.

Failure data will be reported according to Failure the Reporting, Analysis and
Corrective Action System (FRACAS) [16] and the ISO 14224:2006 Collection and
exchange of reliability and maintenance data for equipment [17] .

The DataCite Metadata Schema [18] will be used for publication of the offshore
operations datasets. DataCite is a domain-agnostic list of core metadata
properties chosen for the accurate and consistent identification of data for
citation and retrieval purposes.

TECNALIA will be responsible for version control and validation dataset of
datasets to be shared open access.

**7.4**

**DATA SHARING**

As it has been described before, the datasets will be organised in files
tailored to comply with the requirements of WP6. The file structure will be
also publicly available to the data users as a way to better understand the
file itself.

The aggregated dataset will be disseminated in order to protect the commercial
and industrial prospects of exploitable results (ER1 and ER8). 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, permitting its use and reuse, as well as protecting privacy of its
users.

##  7.5 ARCHIVING AND PRESERVATION

As it has been described before, the OPERA project database will be designed
to remain operational for 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.