#  1 EXECUTIVE SUMMARY

The BLAZE Data Management Plan follows the Horizon 2020 DMP template that was
designed to be applied to any Horizon 2020 project that produces, collects or
process research data. This first Data Management Plan describes the data
management principles and strategies, tools and BLAZE data: data set, “Open
Research Data Pilot” (ODRDP) and BLAZE Demonstrator that will be produced as
part of the project activities and that are relevant to be included in the
DMP. The consortium will also aim at open access when publishing papers and
articles.

The DMP is a living document to be updated as the implementation of the
project progresses and when significant changes occur.

#  2 INTRODUCTION

##  2.1 Objectives and scope of the document

The Data Management Plan (DMP) describes the data management life cycle for
the data to be collected, processed and/or generated by BLAZE project, as a
Horizon 2020 project. The DMP aims at defining the management strategy of data
generated during the project with the purpose to making research data
findable, accessible, interoperable and re-usable (FAIR).

##  2.2 Structure of the deliverable

The document is structured following the guideline of H2020 programme on FAIR
Data Management in Horizon 2020 including the following information:

  * Data Management Plan (DMP) guiding principles and strategy 

  

  * Description of BLAZE type of data 

  

  * Description of FAIR DATA characteristics including DMP Review Process & data inventory 

  

  * Allocation of resources 

  

  * Data Security 

  

  * Ethical Aspects 

  

  * Conclusions 

  

#  3 DATA SUMMARY

The BLAZE Data Management Plan (DMP) aims to provide a strategy for managing
key data generated and collected during the project and optimize access to and
re-use of research data. The DMP is intended to be a ‘living’ document that
will outline how the BLAZE research data will be handled during and after the
project, and so it will be reviewed and updated at regular intervals.

All European Union funded projects must try to disseminate as much information
as possible and on top of that the BLAZE project was signed up to the “Open
Research Data Pilot” which means that we are committed to give open access to
data generated during the project unless it goes against our legitimate
interests. In this regard, the main purpose of the DMP is to ensure the
accessibility and intelligibility of the data generated during the BLAZE
project in order to comply with the Guidelines of the “Open Research Data
Pilot”. Each data set created during the project will be assessed and
categorized as open, embargo or restricted by the owners of the content of the
data set.

All the data sets, regardless of their categorization, will be stored in each
of the participant entities databases and in the Google Drive folder created
as internal database of the partners. In addition, those categorized as open
or embargo will be publicly shared (in the case of embargo, after the embargo
period is over) through the public section of the project website and
**ZENODO** ( _https://zenodo.org/_ )  .

ZENODO is an open access repository for all fields of science that allows
uploading any kind of data file formats, which is recommended by the Open
Access Infrastructure for Research in Europe (OpenAIRE).

##  3.1 Data Management Plan (DMP) guiding principles

The Data Management Plan of BLAZE is realized within the Work Package 1\.

The BLAZE project data management plan follows the principle of Open Access
according to the Horizon 2020 guideline summarized in the diagram here below.

Figure 1. Open access to research data and publication decision diagram (from
Guidelines to the Rules on Open Access to Scientific publications and Open
Access to Research Data in Horizon 2020)

The others main principles for the BLAZE project DPM are the following:

  1. This Data Management Plan (DMP) has been prepared by taking into account the template of the 

  

  

“Guidelines on Data Management in Horizon 2020”

_http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-
oadata-mgt_en.pdf_

  2. The DMP is an official project Deliverable (D1.3) due in Month 6 (August 2019), but it will be updated throughout the project. The first initial version will evolve depending on significant changes arising and periodic reviews at relevant reporting stages of the project. 

  

  3. The consortium complies with the requirements of Regulation (EU) 2016/679 and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Guidance on how these regulations interact with open-access data policy can be found here:  _https://www.openaire.eu/ordp/_

  

  4. Type of data, storage, confidentiality, ownership, management of intellectual property and access: procedures that will be implemented for data collection, storage, access, sharing policies, protection, retention and destruction will be in line with EU standards as described in the Grant Agreement and the Consortium Agreement. 

  

  

##  3.2 BLAZE Data Management strategy

As a project participating in the Open Research Data Pilot (ORDP) in Horizon
2020, the DMP’s Data Management strategy of BLAZE project is focused on the
observation of FAIR (Findable, Accessible, Interoperable and Reusable) Data
Management Protocols. This document addresses for each data set collected,
processed and/or generated in the project the following elements:

**Dataset reference and name** : Internal project Identifier for the data set
to be produced. This will follow the format:

_**PNumber_TaskNumber__PartnerName_DataSubset_DatasetName_Version__DateOfStorage,**
_ where the project name is BLAZE, the Partner Name represents the name of the
data custodian (WP Lead/ Task Leader).

**Dataset description** : description of the data generated or collected,
including its origin (in cases where data is collected), nature and scale and
to whom it could be useful, and whether it underpins a scientific publication.
Information on the existence (or not) of similar data and the potential for
integration and reuse.

**Standards and metadata** : reference to existing suitable standards. If
these do not exist, an outline on how and what metadata will be created.

**Data sharing** : description of how data will be shared, including access
procedures, embargo periods (if any), outlines of technical mechanisms for
dissemination and necessary software and other tools for enabling reuse, and
definition of whether access will be open or restricted to specific groups.
Identification of the repository where data will be stored, if already
existing and identified, indicating the type of repository (institutional,
standard repository for the discipline, etc.). In cases where the dataset
cannot be shared, the reasons for this will be stated (e.g. ethical, rules of
personal data, intellectual property, commercial, privacy-related, security-
related).

**Archiving and preservation** (including storage and backup): description of
the procedures to be put in place for long-term preservation of the data,
including an indication of how long the data should be preserved, the
approximate end volume, associated costs, and how these are planned to be
covered.

##  3.3 BLAZE type of data

Among project datasets and deliverables, following categories of outputs are
declared “ORDP” that will be made “Open Access” (to be provided free of charge
for public sharing). These will be included in the Open Research Data Pilot
and thus be managed according to the present DMP:

  * Project deliverables D2.2., D3.2, D5.4 

  

  * Articles published in Open Access scientific journal 

  

  * Conference and Workshop abstracts/articles 

  

Once generated (or collected), these data will be stored in several formats,
which are: Documents, Images, Data, and Numerical codes.

In particular the following project deliverables are relevant:

###  D.2.2. "Bio-syngas composition and contaminants that affect SOFC and
related gasifier parameters and bed materials to reduce SOFC hazardous
effects"

Bio-syngas composition and contaminants that affect SOFC operation, and
related gasifier parameters and bed materials to reduce SOFC hazardous
effects. . It refers to Task 2.2. Identify the operating conditions in terms
of S/B, ER, olivine/dolomite ratios and amounts of sorbents to be added in
order to obtain at the exit of the gasifier the produced gas with the best
characteristics, i.e. the highest CGE and carbon conversion ( 90%), as well as
the lowest contents of tar (a few grams/Nm3dry) and inorganic contaminant
vapours (tens of ppm) connected to the use of in-bed additives. [ENEA – M12]

###  D.3.2 "Report summarising the literature review"

This report aims to select, via literature review, the most representative
syngas composition and contaminants. The indicators of success are the
identification of at least 5 experimental and 5 simulative international peer
reviewed papers on gasifiers/hot gas conditioning systems within select
(possibly experimental data) at least 2 representative compositions and 2
organic and 3 inorganic representative contaminants levels (with the
respective gasification and hot gas conditioning systems) that can fed the
SOFC with acceptable SOFC efficiency, power density and durability.

###  D.5.4 “Assembled CHP system”

The system, starting from the Hot Syngas Conditioner, will be assembled
incorporating the 25 kWe SOFC-stack from SP_YV (Task 5.2), the heat-driven
anode gas recirculator from EPFL (Task 5.4) and the steam generator. For a
proper integration, all interfaces between the various sub-systems and
components will be described in detail by the different supplying partners. It
will be possible to by-pass the SOFC stack and anode gas recirculator during
testing. Before its delivery the new upscaled gas recirculation device is
characterised and extensively tested in the laboratory at EPFL. Electronic
hardware for system control and the electronic control unit as developed in
Task 5.5 will be integrated. A full i/o test will be done. After completion of
the installation, a phase of checks on each unit will be undertaken,
separately and when needed using auxiliary/synthetic gaseous streams, in order
to verify the functionality of the components, control systems and data
acquisition. All components are manufactured and integrated. The system is
successfully tested for its operability.

Summarising, BLAZE generates and collects the following research data relevant
for the DMP:  
  
<table>  
<tr>  
<th>

**TITLE**

</th>  
<th>

**WP No**

</th>  
<th>

**LEAD**

**BENEFICIARY**

</th>  
<th>

**NATURE**

</th>  
<th>

**DISSEMINATION**

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

D2.2. Bio-syngas composition and contaminants that affect SOFC and related
gasifier parameters and bed materials to reduce SOFC hazardous effects

</td>  
<td>

WP2

</td>  
<td>

ENEA

</td>  
<td>

data sets, microdata, etc.

</td>  
<td>

Public

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

D3.2 Report summarising the literature review

</td>  
<td>

WP3

</td>  
<td>

SP

</td>  
<td>

ORDP: Open

Research Data

Pilot

</td>  
<td>

Public

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

D5.4 Assembled CHP system

</td>  
<td>

WP5

</td>  
<td>

HyGEAR

</td>  
<td>

Demonstrator

</td>  
<td>

Public

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

Articles published in Open Access scientific journal

</td>  
<td>

WP8

</td>  
<td>

EUBIA

</td>  
<td>

Articles/

Research data

</td>  
<td>

Public

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

Conference and Workshop abstracts/articles

</td>  
<td>

WP8

</td>  
<td>

EUBIA

</td>  
<td>

Articles/

Research data

</td>  
<td>

Public

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

Table 1. BLAZE research data

#  4 FAIR DATA

##  4.1 Making data findable, including provisions for metadata

Metadata is data on the research data themselves. It enables other researchers
to find data in an online repository and is, as such, essential for the
reusability of the dataset. By adding rich and detailed metadata, other
researchers, can better determine whether the dataset is relevant and useful
for their own research. Metadata (type of data, location, etc.) will be
uploaded in a standardized form. This metadata will be kept separate from the
original raw research data.

As described in the project Grant Agreement (Article 29.2), the bibliographic
metadata include all of the following:

  * the terms “European Union (EU)” and “Horizon 2020”; 

  

  * the name of the action, acronym and grant number; 

  

  * the publication date, and length of embargo period if applicable 

  

  * a persistent identifier 

  

BLAZE open data will be collected in an open online research data repository:
**ZENODO** . Its repository structure, facilities and management are in
compliance with FAIR data principles. ZENODO is an OpenAIRE that allows
researchers to deposit both publications and data, providing tools to linking
them to these through persistent identifiers and data citations. ZENODO is set
up to facilitate the finding, accessing, re-using and interoperating of data
sets, which are the basic principles that ORD projects must comply with.
Zenodo repository is provided by OpenAIRE and hosted by CERN. Zenodo is a
catchall repository that enables researchers, scientists, EU projects and
institutions to:

  * Share research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. 

  

  * Display their research results and get credited by making the research results citable and integrating them into existing reporting lines to funding agencies like the European Commission. 

  

  * Easily access and reuse shared research results. 

  

  * Integrate their research outputs with the OpenAIRE portal. 

  

###  Search keywords

Zenodo allows to perform simple and advanced search queries on Zenodo using
the keywords. Zenodo also provides a user guide with easy to understand
examples.

###  Naming conventions

Files and folders at data repositories will be versioned and structured by
using a name convention consisting as follow: **BLAZE_Dx.y_YYYYMMDD_Vzz.doc**

_Version numbers_

Individual file names will contain version numbers that will be incremented at
each revision (Vzz).

##  4.2 Making data openly accessible

In order to maximise the impact of BLAZE research data, the results are shared
within and beyond the consortium. Selected data and results will be shared
with the scientific community and other stakeholders through publications in
scientific journals and presentations at conferences, as well as through open
access data repositories.

The BLAZE project datasets are first stored and organized in a database by the
data owners (personal computer, or on the institutional secure server) and on
the project database (project website). All data are made available for
verification and re-use, unless the task leader can justify why data cannot be
made openly accessible. To protect the copyright of the project knowledge,
Creative Commons license will be used in some cases. The BLAZE dataset
deliverables are both public (data access policy unrestricted) and they will
be accessible by:

  * BLAZE project web site 

  

  * Partners database 

  

  * OpenAIRE 

  

  * ZENODO (  https://zenodo.org  ) for ORDP data and datasets 

  

  * Open access journals 

  

All data deposited on ZENODO are accessible without restriction for public.
For other data, potential users must contact the IPR team or the data owner in
order to gain access. If necessary, appropriate IPR procedure (such as non-
disclosure agreement) will be used.

##  4.3 Making data interoperable

Partners will observe OpenAIRE guidelines for online interoperability,
including OpenAIRE Guidelines for Literature Repositories, OpenAIRE Guidelines
for Data Archives, OpenAIRE Guidelines for CRIS Managers based on CERIF-XML.
These guidelines can be found at:
_https://guidelines.openaire.eu/en/latest/._ Partners will also ensure that
BLAZE data observes FAIR data principles under H2020 open-access policy:

_http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-
oadatamgt_en.pdf_

In order to ensure the interoperability, all datasets will use the same
standards for data and metadata capture/creation.

As the project progresses and data is identified and collected, further
information on making data interoperable will be outlined in subsequent
versions of the DMP. In specific, information on data and metadata
vocabularies, standards or methodology to follow to facilitate
interoperability and whether the project uses standard vocabulary for all data
types present to allow interdisciplinary interoperability.

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

Creative Common Licensing with be used to protect the ownership of the
datasets. Both Share-Alike and NonCommercial-ShareAlike licenses will be
considered for the parts of datasets for which the decision of making that
part public has been made by the Consortium.

However, an embargo period may be applied if the data (or parts of data) are
used in published articles in “Green” open access journals. The recommended
maximum embargo period length by European Commission is 6 months.

For datasets deposited on a public data repository (ZENODO) the access is
unlimited.

Restrictions on re-use policy are applied for all protected data (see Figure
1: Open access to research data and publication decision diagram), whose re-
use will be limited within the project partners.

Other restrictions could include:

  * the “embargo” period imposed by journals publication policy (Green Open access); 

  

  * some or all of the following restrictions may be applied with Creative Commons licensing of the dataset: 

    * Attribution: requires users of the dataset to give appropriate credit, provide a link to the license, and indicate if changes were made. 

  

    * NonCommercial: prohibits the use of the dataset for commercial purposes by others. 

  

    * ShareAlike: requires the others to use the same license as the original on all derivative works based on the original data. 

  

  

Internal process of Quality evaluation is activated throughout the entire
project duration to assess both project data /products and project process
(See the D1.2 Quality Assurance Plan and Report for project monitoring and
risk management). An internal peer review is performed for the main project
deliverables to guarantee the deliverable is developed with an high level of
quality. Each WP leader has to submit all the produced documents to another
partner assigned as internal reviewer to check for the quality of the
documents produced.

The project data will remain re-usable for at least 1 year.

##  4.5 DMP Review Process & data inventory

Internal process of quality evaluation and reporting is activated throughout
the entire project duration to assess both project data /products and project
process (See the D1.2 Quality Assurance Plan and Report for project monitoring
and risk management). Results data will be also analysed and collected
throughout the project entire duration. To this purpose the Dissemination and
Communication Report (See the D8.3 Communication and Dissemination Plan) will
also be filled in by each partner about every six months: it includes the
description of articles, papers and scientific publications too. Thus, all
research data generated and publications will be analysed and described by
using the Data Inventory Table (Annex I), WP leaders and partners authors of
publications are required fill in periodically.

Further updating of the Data Management Plan will include the eventually
updating of online research data repository where data are collected and
shared and the data the description of dataset and research data gradually
generated and collected.

#  5 ALLOCATION OF RESOURCES

Costs related to open-access to research data in Horizon 2020 are eligible for
reimbursement under the conditions defined in the H2020 Grant Agreement, in
particular Article 6 and Article 6.2.D.3, but also other articles relevant for
the cost category chosen. Project beneficiaries will be responsible for
applying for reimbursement for costs related to making data accessible to
others beyond the consortium.

The costs for making data FAIR includes:

  * Fees associated with the publication of scientific articles containing project’s research data in “Gold” Open access journals. The cost sharing, in case of multiple authors, shall be decided among the authors on a case-by-case basis. 

  

  * Project Website operation: to be determined 

  

  * Data archiving at ZENODO and on other on line data base: free of charge 

  

  * Copyright licensing with Creative Commons: free of charge 

  

The project member of General Assembly are also responsible of the Data
Management of BLAZE dataset and research data in accordance with each
organization internal Data Protection Officer (DPO).

Each partner is responsible for the data they produce. Any fee incurred for
Open Access through scientific publication of the data will be the
responsibility of the data owner (authors) partner(s).

#  6 DATA SECURITY

The following guidelines will be followed in order to ensure the security of
the data:

  * Store data in at least two separate locations to avoid loss of data; 

  

  * Encrypt data if it is deemed necessary by the participating researchers; - Limit the use of USB flash drives. 

  

  * Label files in a systematically structured way in order to ensure the coherence of the final dataset. 

  

All project deliverables and data will be stored and shared in the Google
Drive folder restricted to the project consortium. As an initial step, only
the Consortium Partners will have access to the cloud storage where dataset
and metadata are filed. Following, scientific publications and articles, the
dataset deliverables and the final demonstrator research results will be
shared through ZENODO and other database to promote the data making FAIR.

#  7 ETHICAL ASPECTS

The work package 9 aims at to ensuring that ethical requirements are met for
all research undertaken in the project, including data management aspects, in
compliance with H2020 ethical standards. All partners will assure that the EU
standards regarding ethics and data management are fulfilled in compliance
with the ethical principles (see Article 34) and confidentiality (see Article
36 as set out in the Grant Agreement). In addition:

  1. In accordance with the General Data Protection Regulation 2016/679, the data controllers and processors are fully accountable for the data processing operations. 

  

  2. Templates for informed consent forms and information sheet are also available. More details in relation to Ethics (and Security) in relation to Data Management can be found in Section 5 of the Grant Agreement. 

  

  3. The BLAZE consortium also includes the Switzerland as Non-EU consortium member and project data will be exchanged between the partners at all times during the project. 

  

  

See the following deliverables for more details:

  * D.9.1 H - Requirement No. 1 

  

  * D.9.2 POPD - Requirement No. 2 

  

  * D.9.3 EPQ - Requirement No. 3 

  

#  8 CONCLUSIONS

This documents describes the man principles and guidelines for the Data
Management for the BLAZE project. As living document it will be updated
throughout the project lifetime. Further updating of the Data Management Plan
will include the eventually updating of online research data repository where
data are collected and shared and the data the description of dataset and
research data gradually generated and collected.