#  1\. General information about the Project

This Data Management Plan (DMP) will be divided in five sections following the
guidelines suggested by the H2020 and by Digital Curation Centre  1  :

  1. General information about the project; 

  

  2. Dataset description; 

  

  3. Data, Metadata and standards; 

  

  4. Policy for access and sharing; 

  

  5. Plan of Archiving, Preservation and Responsibilities. 

  

  

The general information of the MILEDI project is reported in Table 1\.

##  Table 1  
  
<table>  
<tr>  
<td>

**Title and acronym**

</td>  
<td>

**MI** cro QD- **LE** D/OLED **DI** rect patterning (MILEDI) **MILEDI**

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

**Grant number (H2020)**

</td>  
<td>

779373

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

**Project Coordinator (Name, Family name)**

</td>  
<td>

Francesco Antolini

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

**Contacts (e-mail and phone)**

</td>  
<td>

e-mail _francesco.antolini@enea.it_ Phone +39 06 94005059

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

###  1.1 Brief description of the project

The project MILEDI aims to realise micro-Light Emitting Diodes (mQDL) and
micro Organic Light Emitting Diodes (mQDO) using direct laser or electron beam
patterning of nanometer-scale Quantum Dots (QDs) to write the Red-Green-Blue
(RGB) arrays for display manufacturing.

The main idea sustaining the project is to form the coloured green-red light-
emitting QDs directly over a matrix of blue emitting micro QDL/QDO arrays, so
that the QDs act as frequency down-converters and constitute a RGB micro-
display.

Both direct-writing technologies will be thoroughly developed to optimize the
QD light emission spectrum of the display and its stability. They are expected
to provide patterning resolution at micrometric scales, depending on the laser
spot areas and particle beam dimensions and operation.

These techniques together with the direct formation of QDs assure highly
flexible and simple manufacturing processes, in few steps and with low
chemical impact The MILEDI approach to both micro QDL and QDO RGB displays
manufactured by direct laser/electron

beam patterning of QDs is validated by the production of a final prototype of
Rear Projection display through the existing supply chain of the project.

#  2\. Dataset description

The MILEDI project will develop materials, techniques of characterization of
materials methodologies of patterning of materials and micro-displays
manufacturing.

The data that will be produced during the research will be of different types
and range from chemical and physical to engineering science. The chemistry
teams will produce protocols (texts) and characterization data (optical,
structural, images), the physical and engineering groups will manage data from
optical characterization of materials, laser source manufacturing, laser
patterning machine and devices manufacturing (micro-display specification).

All these amounts of data in different forms will be managed depending upon
their nature and importance for the project. Indeed part of them will be:

  1. protected by patents (IPR policy see dissemination and exploitation plan Report); 

  

  2. published in open access journals; 

  

  3. withhold for internal use. 

  

  

Each Partner of the project will identify the type of data that he will
produce during the research and will prepare a table indicating the main
characteristics of the dataset.

Table 2 below shows an example of the dataset description that will be
generated during the life of the project.

##  Table 2  
  
<table>  
<tr>  
<th>

**DATASET DESCRIPTION**

</th>  
<th>

**Element description**

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

**Dataset name**

</td>  
<td>

Dataset name

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

**Dataset description**

</td>  
<td>

Description of the type of data reported in this dataset

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

**File format**

</td>  
<td>

Describes the data format, for example ascii, csv, pdf, doc, txt, xml, etc

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

**Standards and metadata**

</td>  
<td>

Describes the type and structure of metadata associated to the data (see
paragraph 3)

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

**Data sharing**

</td>  
<td>

Indicates which repository is selected for this dataset and the type of
software used to open the dataset

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

**Archiving and preservation**

</td>  
<td>

Indicates which repository will be selected for the dataset storage

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

</td>  
<td>

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

#  3\. Data, Metadata and Standards

The scientific and technical results of MILEDI project are based on data and
associated metadata needed to validate the results presented in scientific
publications.

The “metadata” refers to “data about data”, i.e. all the information that
accompanies the data or all the contextual documentation that clarify the data
itself. The metadata must allow the proper organisation search and access to
the generated information and can be used to identify and locate the data.

The metadata that would describe better the data depends of the nature of the
data. For MILEDI and in general for research data, it is difficult to
establish a global criterion of metadata due to the different dataset that
will be identified, however a general scheme of metadata can be proposed
(Table 3  2  ).

##  Table 3 Data and metadata standards  
  
<table>  
<tr>  
<th>

**DATA, METADATA AND STANDARDS**

</th>  
<th>

**Type of metadata**

</th>  
<th>

**Description of metadata**

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

**Methodology for**

**data**

**collection/generation**

</td>  
<td>

**Title**

</td>  
<td>

Free text

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

</td>  
<td>

**Creator/Owner**

</td>  
<td>

Last name, First name

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

</td>  
<td>

**Date**

</td>  
<td>

Date of creation dd/mm/yyyy

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

</td>  
<td>

**Contributor**

</td>  
<td>

Information about the project and its funding

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

**Data quality and standards**

</td>  
<td>

**Subject**

</td>  
<td>

Series of key words

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

**Description**

</td>  
<td>

Free text explaining the content of the data and the contextual information
needed for the correct interpretation of the data

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

**Format**

</td>  
<td>

Details of the file format

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

**Resource type**

</td>  
<td>

Data set, image, audio

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

**Identifier**

</td>  
<td>

DOI

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

**Privacy level**

</td>  
<td>

Partner, Consortium, Public

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

The data will be acquired by experienced scientists taking into account all
the parameters that influence the measurements and ensuring that the
experimental setup is in the conditions to get reproducible measurements.

The metadata will be stored together with the generated data in a “xml” file
containing all the information reported in table 2.

#  4\. Policy for Access and Sharing

The data will be shared in three different ways: i) filing patents, ii)
publishing in journals (see section 2) iii) withholding for internal use. The
manuscripts can be deposited in the ENEA institutional repository for public
access.

The Partners will decide which data will be shared. In any case the data which
underpin the patents and publications will be made accessible only after
filing patents or after publishing papers.

The Partners will select a research data repository both for sharing and
storage (see section 5).

#  5 Plans for Archiving, Preservation and Responsibilities

Any data from this project that underpin or contribute to patent application
or subsequent research publication will be retained and preserved by the
Partner who obtained the data.

##  5.1 Short term data storage

During the project, data will be stored on the hard drive of the Principal
Investigator (PI) of each Partner that will produce the data. The PI will
perform backup on a regular schedule (each month) by using external hard
drives other media or cloud computing solutions. The files will be encrypted
so only the researcher and PI can access the data.

##  5.2 Long term data preservation

The data from this project that underpin or contribute to patent application
or subsequent research publication will be considered to be a long-term value
and will be retained and preserved.

The data Partners will evaluate which database will fit better for data
preservation and assess its cost, if any.

##  5.3 Responsibility

Each Partner of the project is the responsible of the policy and management of
the data he obtained during and after the data collection.

##  5.4 Ethical issues

MILEDI does not handle personal data and does not work with human cells or
embryos.