#  EXECUTIVE SUMMARY

This document focuses on a specific aspect of the way that the Tech4Win
consortium will operate. It presents related information for partners in the
consortium as well as for external parties about the processes that the
Tech4Win project shall follow in order to manage the data that are associated
with and generated by its work. This topic requires a level of detail such
that it is the subject in its own deliverable rather than being a part of
D8.1, the deliverable that presents all of the other day-to-day management
procedures for the running of the Tech4Win project. These processes are
defined in line with the guidelines of the European Commission, according to
the participation of Tech4Win in the Open Research Data Plan. The evaluation
of the capability and performance of the Tech4Win project with regard to this
area will be the subject of a short review within the context of WP7 at each
consortium meeting.

#  I  NTRODUCTION

This document presents the initial version of the Data Management Plan (DMP)
for the Tech4Win project. This information has been prepared partially
following the guidance of the UK Digital Curation Centre
(http://www.dcc.ac.uk), an internationally-recognized center of expertise in
digital curation with a focus on building capability and skills for research
data management. The DCC provides expert advice and practical help to research
organisations wanting to store, manage, protect and share digital research
data. This DMP for Tech4Win details the public datasets that the project:

  * will generate, 

  

  * whether and how it will be exploited or made accessible for verification and reuse, 

  

  * how it will be curated and preserved. 

  

Academic papers have been made available as open access for some years (may
depend on the host service), while the provision of managed public datasets is
relatively new, at least in the field of materials research. All commonplace
mechanisms for academic papers will be automatically followed by the Tech4Win
project. This means that the DMP concerns itself with processes with which the
project will manage the data that it generates. Clearly, this includes:

  * metadata generation, 

  

  * data preservation, 

  

  * data storage beyond the end of the project. 

  

In particular, the consortium realizes that its responsibilities under the DMP
are that:

  * the Data Management Plan must be defined in first 6 months of project, 

  

  * there must be interim and final reports on data, 

  

  * data identified in DMP must be shared in an online repository, 

  

  * appropriate support will be provided to those involved in the pilot. 

  

At a deeper level of detail, the aim of the DMP is that its processes will
lead to:

  * better understanding of the data produced as output from the project, 

  

  * clarity on how the data is actually used within the project and outside of it, 

  

  * continuity in the work of the consortium in the event of staff leaving or entering the project during its lifecycle or equivalently staff changing role within the project during its lifecycle. This includes such areas as: 

    * avoiding duplication of effort i.e. re-collecting or re-working data, 

  

    * enabling validation of results, 

  

    * contributing to collaboration through data sharing, 

  

    * increasing visibility of output and thereby leading to greater impact. In particular enabling other researchers to cite the datasets generated by the project. 

  

  

The potential strong commercial nature of the Tech4Win project means that the
vast majority of its datasets will remain private and access to these will be
restricted to only those partners who are using them, an aspect that resonates
with the terms of the Tech4Win consortium agreement between partners.

#  DATA SHARING - DISSEMINATION OF RESULTS AND ASSOCIATED DATASET

The Tech4Win consortium fully embraces the H2020 requirement for Open Access
publishing, following the guidelines presented by the European Commission. The
project will ensure both ‘green’ and ‘gold’ publishing, i.e. self-archiving in
one or more repositories and through paying an author’s fee when publishing in
journals. The ultimate choice between these two options will be made in a
case-by-case approach taking into account the potential impact of the
published results.

The project will make its public datasets results available through the
following repositories:

  * The project website:  _http://www.tech4win.eu/_

  

  * The central repositor  y _http://www.zenodo.org_ (as suggested in the Horizon 2020 guidelines), where the project will store (public) deliverables, publications and datasets. The project identifier is Tech4Win. 

  

_Figure_

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_1_

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_ZENODO repository_

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For internal management purposes the Tech4Win consortium will use a Microsoft
SharePoint site which has been prepared, organized and will be maintained by
IREC, the coordinating organization of Tech4Win. The secure HTTP link for the
Tech4Win SharePoint is easily reached through the open project website.

#  ETHICAL AND LEGAL COMPLIANCE

This section addresses the issues of ethical and legal compliance about the
datasets of information produced by the project.

##  ETHICAL AND LEGAL COMPLIANCE

None of the data that Tech4Win makes available to the public that is in the
public repositories mentioned above will contain information on individuals or
companies. In general, the data used in Tech4Win is synthetic where possible
and does not represent any human being or corporate entity. Note also that
during the project, participants will be given the option to withdraw
themselves and their data at any time. It should be pointed out that the
Consortium will do its best to adapt the Data Management to the Data
Protection Directive 95/46/EC.

##  IPR ISSUES

In accordance with the terms of the CA (consortium agreement), ownership of
any datasets generated resides with the consortium partner(s) who create the
datasets in their research and development work.

#  ARCHIVING AND PRESERVATION

The site  _http://www.zenodo.org_ provides long-term storage for the datasets
that are placed there. Individual partners may also place datasets (and
academic papers) in the open source systems made available at their
organisations.

#  METADATA

The consortium recognizes that the Dublin Core Metadata Initiative is widely
recognized as a mechanism by which to record the metadata for each public
dataset in the project. This a set of 15 terms which are furthermore endorsed
in IETF RFC 5013 and in ISO Standard 15836-2009. These terms are as follows:

  1. Title 

  

  2. Creator 

  

  3. Subject 

  

  4. Description 

  

  5. Publisher 

  

  6. Contributor 

  

  7. Date 

  

  8. Type 

  

  9. Format 

  

  10. Identifier 

  

  11. Source 

  

  12. Language 

  

  13. Relation 

  

  14. Coverage 

  

  15. Rights 

  

  

Associated with each public dataset that Tech4Win produces will be a file of
metadata structured as in the following example:

<meta name=”DC.Title” content=”Test data for Tech4Win experiment 1”>

<meta name="DC.Format" content="text; sparse graph representing X">

<meta name="DC.Language" content="en" >

<meta name="DC.Publisher" content=" Tech4Win Project" >

…..

All meta tags are optional in the DCC standard, however the Tech4Win project
will endeavor to fill in all 15 meta tags for each data set.

#  ROLES AND RESPONSIBILITIES

Roles and responsibilities for maintaining and updating the Data Management
Plan (DMP) are linked to roles within Tech4Win. In principle, the WP leaders
are responsible for keeping updated the repositories using the inputs provided
by the Parties involved in each WP before each consortium meeting, with the
overall coordination of the PC.

The EIB will check and decide what data can be open without jeopardizing the
effective protection of IPR and generated Foreground.

Parties are requested to deliver in a six-monthly basis:

  * Pre-printed manuscript of any (accepted) publication, 

  

  * Slides and posters shown at conferences, 

  

  * Raw data supporting paper and deliverable figures. 

  

  * PhD dissertations generated in the frame of the project 

  

In case new personnel are assigned to a relevant role, responsibilities with
respect to the DMP are also taken over. For details on the management roles
and structure of Tech4Win see D8.1.In case the contact person for data is
leaving the project, the affiliation of the original contact person will take
over the responsibility and will assign a new contact person.