#  2.2 Making data openly accessible

Underlying data of scientific publications produced in the project will be
made openly available as the default. However, we will still keep the
possibility to partially opt-out for the individual datasets. Datasets from
life cycle assessment and economic analysis cannot be shared (or need to be
shared under restrictions) as they have a major impact on development of
business plans for our industrial beneficiaries.

The underlying data of scientific publications and associated metadata will be
made accessible by deposition in the research data and publication repository
Zenodo. Zenodo is a certified repository which supports open access but also
enables closed access. Access to datasets shared under restriction will be
discussed in more detail during the second data management plan. Zenodo
accepts data under a variety of licenses in order to be inclusive.

Software tools that can read CSV files (spreadsheet) and SCF files (DNA
sequence viewer) are needed to access our data. We follow the file format
guide currently supported by the Sequence Read Archives (SRA) at NCBI, EBI,
and DDBJ for gene and protein sequence format. Therefore, documentation about
the software is not needed to access the data included.

#  2.3 Making data interoperable

The underlying data of scientific publications produced in our project will be
interoperable, that is allowing data exchange and re-use between researchers,
institutions, organisations, countries, etc. The data will adhere to standards
for formats, as much as possible compliant with available (open) software
applications.

According to the DCC homepage ( _http://www.dcc.ac.uk/resources/metadata-
standards_ ) we will follow data and metadata vocabularies, standards or
methodologies from Biology (in particular from Synthetic Biology, Molecular
Biology, Biochemistry, Biotechnology and Bioprocess engineering) to make our
data interoperable. We will use the STRENDA Guidelines, registered in
_FAIRsharing.org_ , as reference for metadata and standards within our
discipline ( _http://www.beilstein-institut.de/en/projects/strenda/guidelines_
). _FAIRsharing.org_ is a web portal that collects interrelated data
standards, databases, and policies in the life, environmental and biomedical
sciences.

We will be using standard vocabularies for all data types present in our
datasets, to allow interdisciplinary interoperability. In case it is
unavoidable that we use uncommon or generate project specific vocabularies, we
will provide mappings to more commonly used ontologies.

#  2.4 Increase data re-use (through clarifying licences)

To permit the widest re-use possible, we will license the data by Creative
Commons Attribution CC-BY 4.0. CC-BY 4.0 permits unrestricted use,
distribution and reproduction in any medium provided that the original
document is properly cited. It is a machine readable license available free of
charge from _creativecommons.org_ .

The underlying data of scientific publications will be made available for re-
use once the publication is accepted. Zenodo offers the function “Reserve
DOI”, so we can already use the right DOI when writing the publication. A text
field will display the DOI that our record will have once it is published.
This will not register the DOI yet, nor will it publish our record. Next to
open access publications, Zenodo offers the possibility to upload embargoed,
restricted or closed access publications. When we publish with “green” open
access we will do self-archiving of the publication in Zenodo. We will
consider embargo periods imposed by the Journal and link it to our
publications.

According to Zenodo the data remains re-usable forever. Our data is stored in
CERN Data Center. Both data files and metadata are kept in multiple online and
independent replicas. CERN has considerable knowledge and experience in
building and operating large scale digital repositories and a commitment to
maintain this data centre to collect and store 100s of PBs of LHC data as it
grows over the next 20 years. In the highly unlikely event that Zenodo will
have to close operations, they guarantee that they will migrate all content to
other suitable repositories, and since all uploads have DOIs, all citations
and links to Zenodo resources (such as our data) will not be affected.

According to the statement above the underlying data of scientific
publications produced in our project will be usable by third parties also
after the end of our project using CC-BY 4.0

#  Allocation of resources

According to Zenodo`s Terms-of-Use, content may be uploaded free of charge by
those without ready access to an organized data centre. As we do not have an
organized data centre available within our consortium we assume that the costs
for making data FAIR in our project are limited to the costs for open access
publishing (gold open access).

Anyway, costs for open access publishing as well as costs related to open
access to research data are eligible for reimbursement during the duration of
the project as part of the Horizon 2020 grant.

The project manager together with the General Assembly members will be
responsible for data management in our project.

The resources for long term preservation are going to be discussed for the
second data management plan. Discussion will include questions on costs and
potential value, who decides and how what data will be kept and for how long.

#  Data security

We will follow provisions of _help.zenodo.org/features_ for data security
(including data recovery as well as secure storage and transfer of sensitive
data). At Zenodo the research output is stored safely for the future in the
same cloud infrastructure as research data from CERN's Large Hadron Collider.
They are using CERN's battle-tested repository software Invenio, which is used
by some of the world's largest repositories such as INSPIRE HEP and CERN
Document Server.

The underlying data of scientific publications as well as the publication
itself will be safely stored in the certified research data repository Zenodo
for long term preservation and curation.

#  Ethical aspects

Concerning underlying data of scientific publications we do not see any
ethical or legal issues that can have an impact on data sharing. For ethics
reviews see Deliverables D8.1 and D8.2.

If we do questionnaires dealing with personal data we will include an informed
consent for data sharing and long term preservation.

#  Other issues

We do not make use of other national/funder/sectorial/departmental procedures
for data management at the moment.

Literature

  1. Gardossi, L., Poulsen, P.B., Ballesteros, A., Hult, K., Švedas, V.K., Vasić-Rački, Đ., Carrea, G., Magnusson, A., Schmid, A., Wohlgemuth, R., and Halling, P.J. (2010) Guidelines for reporting of biocatalytic reactions. _Trends in Biotechnology_ , 28 (4): 171-180. 

  

  2. Tipton, K.F., Armstrong, R.N., Bakker, B.M., Bairoch, A., Cornish-Bowden, A., Halling, P.J., Hofmeyr, J.-H., Leyh, T.S., Kettner, C., Raushel, F.M., Rohwer, J., Schomburg, D., and Steinbeck, C. (2014) Standards for Reporting Enzyme Data: The STRENDA Consortium: What it aims to do and why it should be helpful. _Perspectives in Science_ , 1 (1): 131-137. 

  

  3. _STRENDA GUIDELINES - LIST LEVEL 1A. Data required for a complete Description of an Experiment._ 2016, doi:10.3762/strenda.17 

  

  4. _STRENDA GUIDELINES LIST LEVEL 1B. Description of Enzyme Activity Data._ 2016, doi:10.3762/strenda.27