EXECUTIVE SUMMARY

This document, DI .3 Data Management Plan (DMP) is a deliverable of the
ACCENTO project launched under the ITD/IADP/TA/TE CFP08-01, funded by the
European Union's H2020 through Clean Sky 2 Programme under Grant Agreement
#831815.

The objective of ACCENTO project is to carry out advanced investigations on
different LowPressure Turbine Active Clearance Control (LPTACC) pipes and
target plates. The aim is to develop design/verification procedures and models
to confidently predict the aero-thermal behaviour of the impingement system.
This goal will be pursued by means of dedicated experimental tests and
numerical simulations. The great ambition of ACCENTO is to design a modular
test rig able to accommodate ACC pipes which will be operated at engine
representative conditions in terms of non-dimensional relevant parameters. The
rig will be able to provide reliable data for impingement cooling heat
transfer characterization in a wide range of operating points. The effect on
the system perfomance of the radiative heat transfer between the target plate
and the pipes will be evaluated by means of a dedicated rig. The rigs will
provide high quality data in conjunction with controlled operating conditions
to validate CFD tools for the heat transfer and, more in general, for the ACC
system characterization. The expected outcomes of the project can be
summarized as follows:

design, commissioning and testing of a modular rig for LPTACC impingement heat
transfer coefficient,  
  
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' validation of suitable CFD methodologies e development of design
correlations for impingement holes discharge coefficient and jets Nusselt
number.

The scope of this DMP is to outline how the research data collected or
generated within ACCENTO will be handled during and after the end of the
project. This report has to be considered as an open document which will
evolve during the project execution: major updates of the report will be
delivered at the end of each reporting period.

The expected type of research data that will be collected or generated along
the project lie in the following categories:

  1. Time averaged flow field which characterize the impinging jets (CFD results) 

  

  2. Time averaged temperature in the free-stream and on the target plate (CFD results and experiments) 

  

  3. Nusselt number distribution on the target plate (CFD results and experiments) 

  

  4. Pressure and temperature distribution within the manifolds (CFD results and experiments) 

  

  5. mass flow rate through the impingement holes (CFD results and experiments) 

  

  

  1. DATA MANAGEMENT AND RESPONSIBILITY 

  

  

1.1. DMP internal consortium policy

The ACCENTO project is engaged in the Open Research Data Pilot (OPT-IN) which
aims to improve and maximise access to and re-use of research data generated
by Horizon 2020 projects and takes into account the need to balance openness
and protection of scientific information, commercialisation and Intellectual
Property Rights (IPR), privacy concerns, security as well as data management
and preservation questions.

The management of the project data/results requires decisions about the
sharing of the data, the format/standard, the maintenance, the preservation,
etc. Thus the Data Management Plan (DMP) is the key element for such
management and is established to describe how the project will collect, share
and protect the data produced during its execution.

As a living document, the DMP will be up-dated over the project execution
whenever necessary. In particular, major updates of the document will be
released at the end of each reporting period.

The following general policy for data management and responsibility has been
agreed for the ACCENTO project:

  * No data will be passed into the Open Access channel without an explicit agreement with signature, on every single item, of the Management Team of the ACCENTO project, which is formed by the PC (Project Coordinator) and by the TL (Topic Leader). Each ACCENTO consortium partner has to respect the policies set out in the DMP. Datasets have to be created, managed and properly stored. 

  

  
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  * The consortium ACCENTO individuates a responsible (Data Management Project Responsible (DMPR)) that will ensure the integrity of all the dataset, their compatibility, the criteria for the data storage and preservation, the long-term access policy, the maintenance policy, quality control, etc. The DMPR will discuss and validate these points with ACCENTO Management. 

  

  * For each single dataset that will be agreed to share and created during the project execution, it will be defined and enrolled a DataSet Responsible (DSR). He will be a representative of the ACCENTO partner that has generated such data and he/she will ensure the validation and registration of datasets and metadata, updates and management of the different versions, etc. The contact details of each DSR will be provided in each data set document presented in the annex I of the DMP 

  

1.2. Data Management Responsible

The Data Management Project Responsible (DMPR) for published data will be
responsible for ACCENTO about the data uploaded in the public repository. Its
role includes:

  * The checking of the database file; 

  

  * The correct format of the file; 

  

  * Easy accessibility of the shared file 

  

  
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Data management Project Responsible (DMPR)

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RICCARDO DA SOGHE

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DMPR Affiliation

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ERGON RESEARCH (ERG)

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DMPR mail

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riccardo.dasoghe@ergonresearch.it

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+39-338-2536487

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  3. DATA nature, and potential users 

  

  
  
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Next table include the nature of the data that will be eventually shared by
considering each activity characterizing ACCENTO project.  
  
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wp, ACTIVITY

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DSR

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NATURE OF DATA

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OBJECTIVE

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TYPE OF FILE

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STANDARD

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WP2,

Experimental investigation

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UNIFI (B.

Facchini)

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Test article CAD geometry, Experimental results

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proof of concept for different LPTACC impingement schemes considering both
flat and curved target surfaces

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ASCII,

CAD formats

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CGNS,

Parasolid

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WP3, Numerical investigation

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ERG (R. Da Soghe)

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CFD Results and User define code

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Definition and validation of scale resolving CFD methods for the prediction of
heat loads on im in ement tar et surface.

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ASCII,

HDF5

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CGNS, Plot3D, Fluent.

C source code

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WP3, Correlative approaches

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ERG (R. Da Soghe)

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Correlations structure and coefficients

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Definition of correlations for the estimation of the impingement heat load and
for the mass flow rate split along the manifold.

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Text

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.pdf

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  4. Data Summary 

  

  

Types and formats of data are digital and their description is included in
table of S I .3.

Potential users of the data generated by ACCENTO could be Universities,
Research Centers or SMEs and of course all the aeroengine manufacturers.

During scientific conferences and public events in which ACCENTO results will
be presented, information will be given about the availability of research
data and some details about the public repository.

For each data collection that will be open to public, a dedicated dataset
document will be completed in Annex I of the DMP once the data are generated.

Depending on the nature of the data, the expected size of the generated
datasets could range from few Mbyte (CAD files, Spreadsheets, PDF files) up to
several TBytes in the case of time dependent CFD or experimental results.

  2. FAIR DATA 

  

  

Following guidelines on data management in Horizon 2020, ACCENTO partners will
ensure that the research data from the project is Findable, Accessible,
Interoperable and Re-usable (FAIR).

  1. Making data findable, including provisions for metadata 

  

  

The databases generated in the project will be identified by means of a
Digital Object Identifier (DOI) and archived on the ZENODO data repository (
_http://zenodo.org_ ) together with pertinent keywords. The choice of adequate
keywords will be included to promote and ease the discoverability of data.
These keywords will include a number of common keywords in the aeroengine heat
transfer area but also generic keywords that can help to attract researchers
from other research areas to use and adapt ACCENTO results to their scientific
fields.

To facilitate the search and use of specific result in the most complex data
set such as CFD or experimental results, a metadata readme .txt file may
accompany the specific data repository, including a list describing the
contents of each directory and standard file nomenclature. The metadata will
be clearly identified by the directory name and the label readme at the end,
to permit the user to identify this file as metadata.  
  
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Documents generated during the project are referenced following the
convention: "ACCENTO-<year>-<Type> <Title> <Version>.<extension>" Where:

  * <year>: Identify the year of document release  <Type>: 

  

  * MoM: Minutes of Meeting 

  

KOM: Kick of Meeting o TN: Technical Note or Updates o DS: Data Set o DX.Y:
Deliverable (and the associated deliverable number: "X. Y" as example) o MX-
Meeting: Presentation during technical meeting and the associated meeting
month

  * CP: Conference Presentation (for green open access documents) o PU: Journal Publication (for green open access documents)  <Title>: 

  

  * Description of the document 

  

  * Version will be defined with RX. Y being Y the minor revision (modifications between members of the same affiliation), X the major revision (members of different affiliations, official CS2JU revisions etc. etc.) 

  

  * <extension>: 

  

  * depends on the document type 

  

Modifications brought to the documents are identified in the "Document
history" section on the front page. The corresponding "Reason of change"
column details the origin of the modifications and summarizes the implemented
modifications.  
  
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DOCUMENT HISTORY

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A. Aaa

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  2. Making data openly accessible 

  

  

By default, all scientific publications will be made publicly available with
due respect of the Green / Gold access regulations applied by each scientific
publisher: all the related scientific data will be made available on open
research data repositories. All the open research data publicly released by
ACCENTO will be store in the ZENODO open repository as strongly suggested by
the CS2JU as it permits a direct connection with the EU OpenAIRE system.

As mentioned above, no data will be passed into the Open Access channel
without an explicit agreement, on every single item, of the Management Team of
the ACCENTO project, which is formed by the PC and by the TL. Each ACCENTO
consortium partner has to respect the policies set out in the DMP.

  3. Making data interoperable 

  

  
  
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The interoperability of the ACCENTO published datasets will be enforced by the
adoption of:

• generally used extensions, adopting well established formats (whenever it is
made possible),  clear metadata,  keywords to facilitate discovery and
integration of SPLEEN data for other purposes,  detailed documentation (such
as user guide, for instance).

User interfaces will be developed and documented where needed. A clear and
common vocabulary will be adopted for the definition of the datasets,
including variable names, spatial and temporal references and units (complying
with SI standards).

  4. Increase of data re-use (through clarifying licenses) 

  

  

ACCENTO is expected to produce a considerable volume of novel data and
knowledge through experimental investigation that will be presented to the
outside world through a carefully designed set of dissemination actions (See
DI .2 for more details).

The ACCENTO consortium will specify a license for all publicly available
files. A licence agreement is a legal arrangement between the
creator/depositor of the data set and the data repository, signifying what a
user is allowed to do with the data. An appropriate licence for the published
datasets will be selected by the ACCENTO consortium as a whole by using the
standards proposed by Creative Commons (2017) [1

Open data will be made available and accessible at the earliest opportunity on
the "Zenodo" repository. This fast publication of data is expected to promote
the data re-use by other researchers and industrials active in the field of
aeroengine combustors and CFD modelling in general, thereby contributing to
the dissemination of ACCENTO concepts, developed models and state-of the art
experimental results. Possible users will have to adhere with the "Zenodo"
Terms of Use and to agree with the licensing content.

  3. ALLOCATION OF RESOURCES 

  

  

Costs related to the open access and data strategy:

  * Data storage in partner data repositories and storage systems: Included in partners structural operating cost. 

  

  * Data archiving with ZENODO data repositories: Free of charge. 

  

  4. DATA SECURITY 

  

  

The exchange of data among the ACCENTO partners during the project execution
will be carried out by using a web based service available at ERG. A dedicated
storage area has been created and access granted to all ACCENTO members.  
  
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  5. ETHICAL ASPECTS 

  

  

The ACCENTO consortium complies with the ethical principles as set out in
Article 34 of the Grant Agreement, which states that all activities must be
can•ied out in compliance with:

  1. Ethical principles (including the highest standards of research integrity — as set out, for instance in the European Code of Conduct for Research Integrity — and including, in particular, avoiding fabrication, falsification, plagiarism or other research misconduct) 

  

  2. Applicable international, EU and national law. 

  

  

These ethical principles also cover the data management activities. The data
generated in the frame of the ACCENTO project are not subject to ethical
issues.

  6. OTHER ISSUES 

  

  

The ACCENTO project does not make use of other
national/funder/sectorial/departmental procedures for data management.

REFERENCES

[1] Creative Commons (2017). Creative Commons Attribution 4.0 International.
n.d.