#  Executive summary

This deliverable provides the first version of the Data Management Plan for
project LAY2FORM. This deliverable presents a preliminary description of how
research data collected and generated within the scope of the project will be
handled during and after the end of LAY2FORM activities, namely concerning the
standards and sharing approaches. The Data Management will be continuously
reviewed and updated in months 24 and 48 as planned in LAY2FORM deliverables
list. This document follows the template provided by the European Commission
1  .

#  Introduction

LAY2FORM project participates in the Open Research Data Pilot (ORD pilot)
according to Articles 29.2 and 29.3 of the GAM. This participation entails the
sharing and reuse of research data generated by H2020 programme funded
projects to improve and maximize their impact. Notwithstanding this, the ORD
Pilot addresses the balance required between openness and protection of
scientific knowledge for the sake of commercialization, privacy and security
purposes, following the principle “as open as possible, as closed as
necessary”.

The main purpose of this DMP is to describe the data management policies to be
followed by LAY2FORM consortium. More specifically, this document presents an
overview of the types of datasets to be generated and collected during the
project, the data standards and how data will be shared and preserved for
later reuse.

This DMP reflects the Consortium Agreement established by the partners and
currently in force. This DMP is also consistent with exploitation and IPR
requirements of the project.

Within the scope of the project, any research data linked or potentially
linked to results that can be exploited by any consortium partner will not be
considered into the open domain to protect commercialization interests. Any
other research data not linked to exploitable results will be deposited in an
open access repository.

This DMP is a document to be continuously reviewed during the course of the
project.

The first version of the DMP presented in this document will be updated in M24
(September-2019) and M48 (September-2021) of the project as formal
deliverables, with more detail on the procedures for data management.

#  Summary of data types

With the framework of the project LAY2FORM research data, including datasets
with data, metrics and procedures, will be open for benchmarking purposes, as
well as technical data needed to validate the results presented in the
deposited scientific publications.

A summary of the data types, their formats and standards to be generated and
collected during the project are provided in Table 1 . During the project and
in the planned future issues of the Data Management Plan, this list may be
updated if necessary.

_Table 1 - Summary of data types, formats and standards_  
  
<table>  
<tr>  
<th>

**Types of Data**

</th>  
<th>

**Data formats and standards**

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

Experimental/ observation-derived data.

</td>  
<td>

Microsoft Office (docx, xlsx, pptx,…) and Adobe Acrobat (pdf) will be the
reference file formats.

LaTeX may be used for the production of scientific and technical
documentation.

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

Models and representations (Product, system and process)

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

Project and WP management documents (reports, presentations,…).

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

Scientific and technical publications

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

FEM structural simulation studies (Product, system and tooling)

</td>  
<td>

FEM simulation results will be stored in the ERF format (based on the HDF5
file format)

ISO-STEP - according to ISO 10303 and ISO 14649 10-17 - will be the standard
for CAx data; non-applicable “ab-origine” data is stored in original SW tool
used and exported in ISO-STEP.

Some data linked to DSS will be stored under an ASCII file format

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

FEM process simulation studies (hotforming)

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

Software and algorithms (CAx, Decision Support System)

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

Measurements raw data obtained during system/process/part characterization

</td>  
<td>

Data will be filed in original format - sensor/application specific - then
exported to ASCII file using TXT and CSV format.

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

Images

</td>  
<td>

JPEG compressed format or equivalent. TIFF uncompressed for shearography and
thermography.

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

Videos (short movies, animations, …)

</td>  
<td>

MPEG codec / AVI format.

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

The manufacturing process pilot to be developed within the scope of LAY2FORM
has been mapped and its several sub-processes were identified. In addition to
this, several parameters, both for the process control and process defect have
been analysed. This is perceived as a critical stage in terms of data
management, in the way that a preliminary overview of several parameters have
been defined for each sub-process. Table 2 presents shows some of these input
parameters and quality criteria evaluated.

Most of the data collected will be used for controlling the manufacturing
process through the Self-adaptive system and the Decision Support System.

The datasets collected will serve as a basis to the creation of a historical
dataset.

_Table 2 - Summary of main manufacturing steps with some associated control /
defect parameters._  
  
<table>  
<tr>  
<th>

**Manufacturing stage**

</th>  
<th>

**Process control data**

</th>  
<th>

**Process defect data***

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

Texturing

</td>  
<td>

\-

</td>  
<td>

Surface roughness

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

Tape feeding

</td>  
<td>

Feeding velocity, tape alignment

</td>  
<td>

\-

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

Tape cutting

</td>  
<td>

Laser frequency, displacement speed.

</td>  
<td>

Heat affected zone (laser cutting), metal bent, fibre dragging

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

US spot bonding

</td>  
<td>

US frequency, US holding time, US pressure, number of welded spots

</td>  
<td>

Local resin degradation, welding quality.

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

Stacked layup

</td>  
<td>

\-

</td>  
<td>

Size of lap and gaps, local fibre damage, tape misalignment

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

Stack heating

</td>  
<td>

Consolidation temperature

</td>  
<td>

Blank under or over heated. Material degradation.

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

Stack compaction

</td>  
<td>

Loading rate (press ramp speed), consolidation pressure/vacuum, holding time

</td>  
<td>

Intimate contact, thermoplastic overflow, fibre drag, fibre misalignment,
nonhomogeneous fibre volume fraction

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

Cooling

</td>  
<td>

Cooling rate

</td>  
<td>

Warpage

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

Consolidated blank

</td>  
<td>

\-

</td>  
<td>

Intimate contact, void distribution, void size, void content, thermoplastic
overflow, fibre drag, fibre misalignment, non homogeneous fibre volume
fraction.

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

Holding consolidated blank

</td>  
<td>

Blank holder gripping force

</td>  
<td>

\-

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

Heating

</td>  
<td>

Blank temperature

</td>  
<td>

Blank under or over heated, matrix degradation.

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

In-place tension control

</td>  
<td>

Blank in-plane stress

</td>  
<td>

Material slip / fibre breakage

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

Transfer to press position

</td>  
<td>

Transfer time, transfer speed, trajectory: speed and position

</td>  
<td>

Transfer time out of process window

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

Molten matrix consolidated blank (shearography)

</td>  
<td>

\-

</td>  
<td>

Shear wrinkling, sagging, nonuniform temperature, matrix degradation, adhesive
degradation, temperature loss, transfer-time mismatch, void content, position
placement

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

Forming

</td>  
<td>

Mould temperature, loading rate, press trajectory: speed, position and time,
moulding pressurization: time, force and speed, moulding de-

pressurization: time and speed, die temperature

</td>  
<td>

Parallelism, Wrinkles, fibre misalignment, insert misalignment, fibre
breakage.

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

Force control (blank holder)

</td>  
<td>

Clamp force, blank in-plane stress

</td>  
<td>

Material slip

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

Consolidation

</td>  
<td>

Consolidation time

</td>  
<td>

\-

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

Molten formed sub product

</td>  
<td>

\-

</td>  
<td>

Intra-ply shear, fibre wrinkling, fibre buckling, fibre waviness, air
entrapment, fibre damage.

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

Cooling

</td>  
<td>

Cooling rate, clamp force

</td>  
<td>

Premature solidification, nonuniform surface temperature, transverse cracking,
metal/composite adhesion

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

Demoulding

</td>  
<td>

Cooling rate

</td>  
<td>

\-

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

Formed sub product

</td>  
<td>

\-

</td>  
<td>

Residual stress/warpage/spring-in, transvers cracking, adhesion

metal/composite, crystallization

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

Edge trimming

</td>  
<td>

Laser type, laser power, trajectory

</td>  
<td>

\-

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

Final product

</td>  
<td>

\-

</td>  
<td>

Geometry, delamination, mechanical properties, matrix degradation

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

* The process defect data mentioned in the table will only be generated provided that the defect detection technology contemplated within the framework of the Lay2Form 

project are relevant for each type of defect. This will be assessed during the
course of the project.

#  FAIR data

3.1 Data findability

Appropriate provisions will be implemented within the scope of LAY2FORM to
make data generated in the project findable in repositories. Sets of metadata
attributes will be created through a machine-readable index in a searchable
resource to facilitate the findability of the data.

At the current state, the metadata requirements for the different data sets to
be generated are under development. Notwithstanding this, and with respect to
scientific publications to be deposited in repositories, the project will
comply with minimum metadata format requirements, namely: 1) the terms
['European Union (EU)' and 'Horizon 2020'] ['Euratom' and 'Euratom research
and training programme 2014-2018']; 2) the name of the action, acronym and
grant number; 3) the publication date and length of embargo period (if
applicable); 4) a persistent identifier (such as a Digital Object Identifier
or DOI).

3.2 Data accessibility

There are three access levels for the data generated by LAY2FORM:

  * _Public_ : access and download are permitted only to registered users in the project website (  _http://lay2form-project.eu/_ )  , against password to login to the system. The list of files open to the public for dissemination will be maintained available and accessible by download via the website. Interested users need to request a login and a password to the official project e-mail. The purpose is to track data use and build a contact database for the project. 

  

  * _Confidential_ : accessible only to the subscriber of the Grant Agreement, namely their beneficiaries and linked third parties. Confidential data exchanged between consortium partners is made accessible through a repository in an internal secured server hosted by the PC. Data is available to partners through a webFTP site from which access is granted via a login and password provided by the PC. 

  

  * _Open access_ : peer review scientific publications and experimental data needed to validate results will be deposited in a repository using the “gold model” as preferential way, meaning that such data will be available for both subscribers and the wider public, with permitted reuse. Furthermore, the LAY2FORM consortium will seek for opportunities to provide open access to non-peer reviewed scientific publications, such as monographs or conference proceedings. 

  

Some of the data generated during the manufacturing process, or by the self-
adaptive system, or coming from the process simulation, will most likely be
stored on a cloud service hosted by AWS. The storage conditions are currently
under study and have not yet been implemented in the project. These data will
also be available to the project partners.

In order to promote exchange and raise awareness on the project results with
other researchers, stimulating concurrent research to accelerate the uptake
and further development of breakthrough LAY2FORM technology concepts, research
data will be deposited in a public research data repository, namely Zenodo.

Both public and confidential data will be maintained accessible to authorized
users for at least 5 years after the end of the project.

  3. Data interoperability 

  

  

Data interoperability, or the ability for data to be processed by different
systems, will be ensured through standardised terms or controlled vocabularies
with qualified references to other metadata, so that can be machine readable,
following the FAIR principles

At the present moment, metadata requirements are under study by the
consortium.

Metadata templates and generators such as may be used to support this task.
The Dublin Core Schema, developed by the Dublin Core Metadata Initiative is a
set of vocabulary terms for describing digital and physical resources, and may
be used for this purpose.

  4. Data re-use (through clarifying licences) 

  

  

Data re-use, or the ability for data to be understood by humans and machines
through sets of precise and relevant metadata attributes, will be ensured by a
clarifying data usage licence. In the scope of project LAY2FORM, a set of
rights will be retained by the copyrights holders, and a Creative Commons will
be used for this purpose.

By observing the different rights granted by the six licences available from
Creative Commons, a licence **CC BY-NC-ND 4.0** will be used for the data
generated in the project. The following attributes of this licence should be
noted:

  * **BY** : stands for attributions. A user of the data must give appropriate credit, a link to the licence, and indicate if changes were made. 

  

  * **NC** : stands for non-commercial. A licence with an NC modifier cannot be used for a commercial purpose, such as being sold or used in an advertisement. You may not use the material for commercial purposes. A commercial use is one primarily intended for commercial advantage or monetary compensation. 

  

  * **ND** : stands for no derivatives. This limits the creation of derivative works based upon the original, such as rewriting or translations. A user of the data must not distribute modified, remixed, transformed or built upon material. 

  

#  Allocation of resources

Data management will be assumed by the project coordinator – INEGI - taking
the responsibility for the communication activities under the frame of WP1,
and the associated costs eligible for this purpose.

The costs related to open access publications were already considered in the
estimated budget of the project.

#  Data security

Multiple levels of security to access, transfer, store and back-up data files
(encryption methods: Secure Sockets Layer (SSL) will be the implemented to the
PC server, the project website and on the cloud infrastructure Amazon Web
Services (AWS), which is currently under study.

Regarding AWS, the data will be stored on S3 and Glacier services and used by
any AWS service (SageMaker, Redshift, …) located in the European region
(Ireland, Frankfurt, London or Paris). To prevent disaster recovery, all data
available on AWS will be replicated within an AWS Region across multiple
Availability Zones

AWS provides specific features and services which customers can leverage as
they seek to comply with the GDPR (
_https://aws.amazon.com/compliance/gdprcenter/?nc1=h_ls_ )  .

#  Ethical aspects

The ethical framework of the data management within project LAY2FORM is
currently being assed. In this regards, the General Data Protection Regulation
(GDPR), which entered into force on the 25  th  of May 2018, is under study in
order to ensure compliance with the newest legislation.