The metadata will describe the different type of data generated experimentally
and computationally. We do not envisage a unique standard since the
experimental setups differ considerably from each other and simulation data
will be produced with independent computational models.

As the projects develop will identify groups of produced data that are
amenable to a common structure.

#  Making data openly accessible

_**Which data produced and/or used in the project will be made openly
available as the default? If certain datasets cannot be shared (or need to be
shared under restrictions), explain why, clearly separating legal and
contractual reasons from voluntary restrictions.** _

We do not foresee that making data openly available is not the standard for
the academic partners. The level of accessibility will be associated to the
publication of the corresponding scientific results. Whenever possible, we
will make use of the facilities offered by scientific journals to store data
and make it more publicly available

_**How will the data be made accessible?** _

We will make use of the repositories provided by the academic institution
involved as beneficiaries. We will identify the facilities provided, the type
of data they can store and how they make it available.

We will also take advantage of the facilities provided by some scientific
journals to store data associated to scientific publications in order to make
them accessible to a larger audience

_**What methods or software tools are needed to access the data? Is
documentation about the software needed to access the data included? Is it
possible to include the relevant software (e.g. in open source code)?** _

We will identify the methods to access the data offered by the institution
repositories. In the case of data associated to scientific journals, they take
care of indicating the procedure to access the corresponding data

_**Where will the data and associated metadata, documentation and code be
deposited? Preference should be given to certified repositories which support
open access where possible.** _ As we have mentioned previously, we will make
use of the facilities provided by the involved academic institutions. These
repositories are developed according to well defined protocols and hence are
certified. We will clarify and make it transparent the certifications each
potential repository fulfills.

_**Have you explored appropriate arrangements with the identified repository?
If there are restrictions on use, how will access be provided? Is there a need
for a data access committee? Are there well described conditions for access?
How will the identity of the person accessing the data be ascertained?** _

We have agreed to identify the repositories and how to interact with them.
This arrangement has started to be achieved in some of the beneficiary
institutions

#  Making data interoperable

_**Are the data produced in the project interoperable, that is allowing data
exchange and reuse between researchers, institutions, organisations,
countries, etc. ?** _

The data expected as outcome of the project is heterogeneous because they will
be produced with a wide variety of experimental setups. The same applies to
the expected simulation data. However, in all cases both experimental and
numerical data are produced in a well recognized scientific environment.
Therefore, the data produced can be understood and reused by other research
groups carrying their activities using similar experimental setups or dealing
with computational data

_**In case it is unavoidable that you use uncommon or generate project
specific ontologies or vocabularies, will you provide mappings to more
commonly used ontologies?** _

As mentioned above, the data that will be generated in the development of the
project, even if heterogeneous, will be produced in a well defined scientific
environment. Therefore, the lack of a unique project specific ontology does
not prevent the accessibility of data by potentially interested users.

#  Increase data reuse (through clarifying licenses)

_**How will the data be licensed to permit the widest reuse possible?** _

As mentioned earlier data produced in academic led projects will not have
restrictions beyond those specified by the repositories where they will be
stored.

In the case of industrially involved projects the license will be discussed
case by case

_**When will the data be made available for reuse? If an embargo is sought to
give time to publish or seek patents, specify why and how long this will
apply, bearing in mind that research data should be made available as soon as
possible.** _

We will follow standard academic practice and make data available after
academic publication. If a patent is potentially involved, we will follow the
advice provided by the relevant patent office in the academic institution
involved. In these situations we will identify the different class of data
produce and separate the data that is amenable to be associated to scientific
publications on a shorter time scale, and the data that must be kept
confidential until the patent is released.

_**Are the data produced and/or used in the project useable by third parties,
in particular after the end of the project? If the reuse of some data is
restricted, explain why.** _

We do not expect that the data produced suffers from restriction in their use
after the project is finished. Only in case of patent processes, or on
specific cases of industrially related projects, a longer time before the data
is public may be required. In these eventualities, the responsible of Data
Management will supervise how to proceed and will arrange the corresponding
procedures with the institutions involved and the corresponding facilities for
Data Management.

_**How long is it intended that the data remains reusable?** _

We produced data that can be used by researchers as far as the corresponding
activities are meaningful to the community. The data per se dos not
deteriorate in its relevance. Obviously, as the knowledge of the community
advances, new data and standards will develop that will superseed the data
that will come out from NANOPHLOE.

_**Are data quality assurance processes described?** _

We have not identified the need of a quality assurance process for data. The
data will be produced in the context of scientific projects. The quality of
the scientific content of the projects ensure that the data produce will meet
the expected standards by the scientific community

#  Allocation of resources

_**How will these be covered? Note that costs related to open access to
research data are eligible as part of the Horizon 2020 grant.** _

We can foresee costs for publication in Open Journals. These costs were
already included in the proposal.

_**Who will be responsible for data management in your project?** _

The Grant Agreement established that the team at the University of Barcelona
will be responsible

_**Are the resources for long term preservation discussed?** _

The resources for long term will be discussed with the local infrastructures
provided by the Academic Institutions

#  Data security

_**What provisions are in place for data security?** _

We will rely on the services provided by institutional repositories

#  Data Collection

_**What data will we collect or create?** _

The data produced from this consortium will fall into two categories:

  1. Simulation data associated to the theoretical projects. 

  

  2. Experimental data obtained both by the academic partners and involved SMEs. _**How will the data be collected or created?** _

  

  

Data will be collected independently by the different teams. Data acquisition
is very heterogeneous in this project. Each team is responsible for the
acquisition and storage of data.

Simulations data are generated by running simulations in a variety of
supports, ranging from desktop computers, to supercomputing centers, including
the exploitation of devoted clusters in the corresponding academic
institutions.

Experimental data are produced by the different experimental setups used and
developed by the partners.

#  Documentation and Metadata

_**What documentation and metadata will accompany the data?** _

Different sets of data will be stored following a standarized procedure to
name the files and ensure data can be findable.

Data produced by SMEs will be kept by them, and a document describing the
content and type of data will be produced.

In the case of academic partners, the outcome of the network activities will
lead to data scientific publications. In this case the associated produced
data will be generated and the publication will indicate where the data is
stored.

The consortium will follow well established good practices to create the
corresponding, relevant metada. Due to the different institutions involved in
NANOPHLOW, each partner will build on best practices and guidelines specified
by the corresponding institution.