#  1 Introduction

##  1.1 Summary

As part of Horizon 2020, the DISIRE project participates in a pilot action on
open research data. The aim is to provide indications as to what kind of data
the project will collect, how the data will be preserved and which sharing
policies will be adopted towards making these data readily available to the
research community.

##  1.2 Purpose of document

This Data Management Plan (DMP) details what kind of research data will be
created during the project's lifespan and prescribes how these data will be
made available - and thus re-usable and verifiable - by the larger research
community. The project's efforts in the area of open research data are
outlined giving particular attention to the following issues:

  * The types of open and non-open data that will be generated or collected by the consortium, via experimental campaigns and research, during the project's lifespan; 

  

  * The technologies and infrastructures that will be used to securely preserve the data long-term; 

  

  * The standards used to encode the data; 

  

  * The data exploitation plans; 

  

  * The sharing/access policies applied to each data-set. 

  

The plan can be considered as a checklist for the future and as a reference
for the resource and budget allocations related to data management.

##  1.3 Methodology

The content of this document builds upon the input of the project's industrial
partners and all the peers of work-packages 5, 6, 7 and 8. A short
questionnaire, outlining the DMP's objectives and stating the required
information in a structured manner, has been edited by LTU and disseminated to
the partners. The compiled answers have been integrated into a coherent plan.

The present DMP will evolve as the project progresses in accord with the
project's efforts in this area. At any time, the DMP will reflect the current
state of the consortium's agreements regarding data management, exploitation
and protection of rights and results.

##  1.4 Outline

For each partner involved in the collection or generation of research data a
short technical description is given stating the context in which the data has
been created. The different data-sets are identified by project-wide unique
identifiers and categorized through additional meta-data such as, for example,
the sharing policy attached to it.

The considered storage facilities are outlined and tutorials are provided for
their use (submitting and retrieving the research data). A further appendix
lists the format standards that will be used to encode the data and provides
references to technical descriptions of these formats.

##  1.5 Partners involved

**Partners and Contribution**

**Short Name Contribution**

**LTU** Coordinating and integrating inputs from partners

#  2 Data sharing, access and preservation

The digital data created by the project will be diversely curated depending on
the sharing policies attached to it. For both open and non-open data, the aim
is to preserve the data and make it readily available to the interested
parties for the whole duration of the project and beyond.

##  2.1 Non-Open research data

The non-open research data will be archived and stored long-term in the
REDMINE portal administered by LTU. The REDMINE platform is currently been
employed to coordinate the project's activities and to store all the digital
material connected to DISIRE.

##  2.2 Open research data

The open research data will be archived on the Zenodo platform (
http://www.zeno _do.org_ )  . Zenodo is a EU-backed portal based on the well
established GIT version control system (  _https://git-scm.com_ )  and the
Digital Object Identifier (DOI) system (  _http://www.doi.org_ )  . The
portal's aims are inspired by the same principles that the EU sets for the
pilot; Zenodo represents thus a very suitable and natural choice in this
context.

The repository services offered by Zenodo are free of charge and enable peers
to share and preserve research data and other research outputs in any size and
format: datasets, images, presentations, publications and software. The
digital data and the associated meta-data is preserved through well-
established practices such as mirroring and periodic backups.

Each uploaded data-set is assigned a unique DOI rendering each submission
uniquely identifiable and thus traceable and referenceable.

**3 List of the data-sets**

This section will lists the data-sets produced within the DISIRE project.