<table>  
<tr>  
<th>

**DoA**

</th>  
<th>

Description of Action

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

**EC**

</td>  
<td>

European Commission

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

**H2020**

</td>  
<td>

Horizon 2020

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

**GA**

</td>  
<td>

Grant Agreement

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

**CA**

</td>  
<td>

Consortium Agreement

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

**KPI**

</td>  
<td>

Key Performance Indicator

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

**FSTP**

</td>  
<td>

Financial Support to Third Parties

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

**Figure 2** . Versioning flow  10

**Figure 3** . Screenshot document history  11

**1\. Data Management Plan delivery and updates**

The Data Management Plan (DMP) has been elaborated in agreement with all
project partners. This document is a first version, as requested by the EC.
Changes that has been introduced as a result of law changes – new GDPR
regulation get into force. It will be updated over the course of the project
in the cases stated in the Guidelines on FAIR Data Management in Horizon 2020:

  * significant changes such as new data; 

  

  * changes in consortium policies; 

  

  * changes in consortium composition and external factors; 

  

  * among other that might be of relevance. 

  

  2. **Data Summary**

  

  

As described in the Guidelines on FAIR Data Management in Horizon 2020 a Data
Management Plan is a key element to ensure data is well managed. For this
reason, we will firstly identify the type of data that will be generated in
the framework of the project:

  1. Data generated from accessible information such as reports published on the I4MS website news, events, open calls, evolutions and novelties of the smart manufacturing and I4MS ecosystem among other topics related to the objectives of the project; 

  

  2. Data generated from project partners and external evaluators activities, such as discussions with the members of the board and key stakeholders of the ecosystem, evaluation reports, establishment of project priorities, development of the acceleration programme tools, evaluation reports among other work carried out in order to achieve project goals; 

  

  3. Data generated involving third party (beneficiaries of the Disruptors Awards), such as details of projects submitted under the two calls for proposals, results obtained during the acceleration programme, research data, interviews and presentations. 

  

  4. Data generated through the I4MS platform: this virtual platform is set up to raise awareness on theI4MS project and its objective, facilitate the interactions between the members of the ecosystems offering an online tool to connect and discover new business and funding opportunities, as well as to receive first-hand information about best practices of SMEs having received funding for their digital transformation processes, I4MS key enabling technologies, technological support and assessment available and offered by the Innovation Actions under the I4MS initiatives among others. 

  

  

According to another classification, which does not exclude the previous one,
there are two types of data collected:

  * Personal data 

  

  * Data related to the business activity of the participants and their participation in the program. 

  

  1. **State the purpose of the data collection/generation**

  

  

FBA, as responsible for launching the Disruptors Awards, a prize to select top
SMEs and mid-caps having undergone through a digitisation process.
Applications of the most innovative application experiments will be received
through an online form within FundingBox Platform which will be used during
the project´s Open Calls. The information gathered will serve to evaluate and
award the most promising application experiments in the area of I4MS.
Therefore, it is necessary to collect, store and process the online forms that
will be submitted by applicants.

Data will be exploited for three main purposes:

  * evaluation of proposals; 

  

  * impact assessment; 

  

  * research. 

  

The anonymised datasets will be exploited through the creation of maps and
charts that will be updated at the end of the selection process of each Open
Call. The maps and charts generated will be publicly shown as part of the
dissemination activities of the project. The full data set of anonymised data
will be also available for third parties, mainly the European Commission
services, that would request access to the information for research purposes.

  2. **Relation of data collection to the project objectives**

  

  

The data sets to be collected during the Open Calls in order to facilitate
good analysis of proposals include (non-exhaustive list): Country;
Organization name; Project name; Address; Manufacturing sector, Innovation
potential, business potential, project having funded the application
experiment, TRL level, description of the Application Experiment, etc. All
these data sets will be represented in a mapping of submitted proposals. The
selected proposals are a subgroup of the submitted proposals and are
identified with the field. It is expected to generate a relevant deal-flow of
applications through the I4MS calls along the project which will contribute to
create five main data sets:

  1. Applicants that start an application but don't submit a proposal; 

  

  2. Submitted proposals; 

  

  3. Evaluated proposals; 

  

  4. Winners; 

  

  5. Follow up metrics. 

  

  

  3. **Data protection**

  

  

Datasets will be anonymised for impact assessment and research purposes. The
personal data collected as part during the project will be limited to the
project submission and informed consent of participants about the use of
personal data will be required. Personal identity will be protected by the use
of anonymous codes. The relation of real names and codes will only be known to
FBA who will keep the records in secure place. The relation of applications
will be coded and will be available for internal evaluators with such a
coding. In case data needs to be transferred to nonEU partners, we will obtain
approvals from the competent Data Protection Office, unless those countries
are in the list of countries that provide adequate safeguards with respect to
the protection of the privacy and fundamental rights and freedoms of
individuals and as regards the exercise of the corresponding rights. All
copies of approvals /notifications regarding the processing of personal data
will be made available upon request to the EC. Personal data will be encrypted
and stored securely.

Personal data will be processed in accordance to the GDPR. Administrator of
the personal data obtained during the open calls is FBA. FBA provides
Applicants with the information concerning personal data processing.

  4. **Types and formats of data generated/collected**

  

  

The type of data collected will include specific indicators to evaluate the
potential of the proposals. Such indicators include measurements of the
innovation potential and maturity of proposals, the team and the organisation
proposers, the technology used and technology experience, the market
orientation, the financial aspects and the benefits expected. Generic
information is being collected in textual or numeric format, while the data
regarding value propositions will be collected in a multiple-choice format.

  5. **Origin of the data**

  

  

The information will be captured through online forms and will be recorded and
stored in FBA

Cloud infrastructure as an object database. The information will be accessible
through an online Dashboard application and it will be downloadable in csv and
xls formats. Only authorised users will be allowed to access the data sets via
authentication.

  6. **Data utility: to whom will it be useful**

  

  

The data will be exploited by project partners and external evaluators for
three main purposes:

  1. evaluation of proposals; 

  

  2. benefiting from the I4MS prize package. 

  

  3. research 

  

  4. dissemination. 

  

  

The individual registers will be only accessible for evaluation purpose to be
done by the selected evaluators. Each evaluator will be granted with a limited
access to a restricted number of registers from the data set. Before giving
evaluators access to the data they will be requested to sign online using a
secure mode via authentication mode: ‘Acceptance of the use of data (GDPR)’
and a ‘Declaration of confidentiality and no conflict of interest’.

  7. **Intellectual Property Rights (IPR)**

  

  

In general, foreground (e.g. results including intellectual property generated
during the project) will be owned by the party who reaches the results. The
same will apply for the results achieved by SMEs and mid-caps who act as
beneficiaries of I4MS Disruptors Awards (third parties). All the knowledge,
data and results deriving from the application experiments carried out by the
beneficiaries will remain as their property only.

Each partner and the ‘Third party Beneficiary’ is responsible for taking the
appropriate steps for securing intellectual property of the knowledge or
results created during the application experiment. In any case, I4MS CSA will
follow the general principles for IPR as described in the ‘Model Grant
Agreement for the Horizon 2020 Framework Program’.

  3. **Fair Data**

  

  

The I4MS CSA project will integrate the data from all the applications
participating in the open call. The collection of data through an online
application form will facilitate data integration having the information of
third parties structured in a standard form and also the interviews and
articles published in the I4MS platform.

  1. **Making data findable, including provisions for metadata**

  

  

This document explains in detail how the data management plan will support the
effective collection and integration of the I4MS data. Storage, processing and
sharing will occur via the FundingBox proposal submission platform and
different events and meetings and also via the I4MS website and blog. During
the Disruptive Awards data will be anonymised meaning that data will not
identify any individuals.

  1. **_Discoverability of data (metadata provision)_ **

  

  

In order to be able to use the data generated by the project is essential to
integrate data from the participants in the open calls and the activities
undertaken by project partners. Taking into account the FAIR data principles
(Wilkinson et al., 2016) (meta)data should:

  * Be assigned to a globally unique and persistent identifier; • Contain enough metadata to fully interpret the data, and; 

  

  * Be indexed in a searchable source. 

  

By applying these principles, data becomes retrievable and includes their
authentication and authorisation details.

  2. **_Data identification mechanisms_ **

  

  

All documents associated to one particular project will be identified with a
unique and persistent number that will be given at the time of the submission
process.

Examples:

  * 001ApplicationForm 

  

  * 001FinancialIdentification 

  

  * 001Demo 

  

  * 001EvaluationReport 

  

  * 001FinalMonitoring 

  

As per the documents related to project activities and/or deliverables, the
tasks or deliverables number will be used to identify the document followed by
a brief title of the activity or deliverable.

  3. **_Naming conventions used_ **

  

  

The recommendations to name documents of the project and facilitate its
retrievability are as follows:

  * Choose easily readable identifier names (short and meaningful); 

  

  * Use capital letters to delimit words instead of spaces or underscores; 

  

  * Do not use acronyms that are not widely accepted; 

  

  * Do not use abbreviations or contractions; 

  

  * Avoid Language-specific or non-alphanumeric characters; 

  

  * Add a two-digit numeric suffix to identify new versions of one document. 

  

  * Dates should be included back to front and include the four-digit years: YYYYMMDD. 

  

  4. **_Approach towards search keyword_ **

  

  

Documents related to the activities of the project will be done following the
templates agreed by the consortium, these templates include a keywords section
to make documents findable.

The information submitted by the applicants to the open calls will use
keywords related to the industry where digitisation processes have taken place
using the technologies covered by I4MS such as: footwear, welding, agri-food,
aircraft, automotive...

The keywords used to easily identify documents related to a specific project
will be the ones used throughout the submission process, where applicant will
have to select the characteristics of their projects selecting descriptors
from a dropdown menu.

An excel spreadsheet with all information about the projects will be done in
order to identify projects submitted for example under one specific challenge.
Excel will be an efficient tool to filter projects by its characteristics. The
“export” functionality of FundingBox platform allows such a listing.

**3.1.5._Approach for clear versioning_ **

Only documents created by the consortium will be versioned, for this purpose
templates include 3 descriptors to identify the versions and status of the
documents:  
  
<table>  
<tr>  
<th>

DOCUMENT HISTORY  
  
<table>  
<tr>  
<th>

Version

</th>  
<th>

Stat

</th>  
<th>

us

</th>  
<th>

Date

</th>  
<th>

</th>  
<th>

</th>  
<th>

Comments

</th>  
<th>

Author

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

1

</td>  
<td>

</td>  
<td>

XX

</td>  
<td>

</td>  
<td>

</td>  
<td>

XX

</td>  
<td>

</td>  
<td>

</td>  
<td>

XX

</td>  
<td>

</td>  
<td>

</td>  
<td>

XX

</td>  
<td>

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

2

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

3

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

4

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

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

</td>  
<td>

Status (a status is associated to each step of the document life cycle)

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

Draft

</td>  
<td>

This version is under development by one or several partner(s)

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

Under review

</td>  
<td>

This version has been sent for review

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

Figure 1. Screenshot status of the document

Moreover, partners, following the recommendations included in section 3.1.3.
will identify the different versions by using a two-digit number following the
descriptor Draft. A document reviewed by another partner should be returned to
the principal author by including rev+acronym of the organisation. Only the
principal author will change the draft number and will add the word FINAL to
documents ready to be sent to the EC or those to be used as final versions.
The process is as follows

The document history included in the document template should be filled in as
follows: DOCUMENT HISTORY  
  
<table>  
<tr>  
<th>

Version

</th>  
<th>

Status  1  
</th>  
<th>

Date

</th>  
<th>

Comments

</th>  
<th>

Author

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

1

</td>  
<td>

Draft

</td>  
<td>

01/02/2017

</td>  
<td>

Section 2.1. needs to be completed

</td>  
<td>

ABC

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

2

</td>  
<td>

Under review

</td>  
<td>

02/02/2017

</td>  
<td>

Section 2.1. completed. Comments added in the document.

</td>  
<td>

CDE

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

3

</td>  
<td>

Draft

</td>  
<td>

04/02/2017

</td>  
<td>

Added suggestions by CDE

</td>  
<td>

ABC

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

4

</td>  
<td>

Under review

</td>  
<td>

06/02/2017

</td>  
<td>

Included some topics on section 2.1.

</td>  
<td>

XYZ

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

5

</td>  
<td>

Issued

</td>  
<td>

15/02/2017

</td>  
<td>

Final version with partners

contributions

</td>  
<td>

ABC

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

**3.1.6._Standards for metadata creation (if any)_ **

Basic metadata will be used to facilitate the efficient recall and retrieval
of information by project partners and external evaluators and contribute to
easily find the information requested. To this end, all documents related to
the project have to include in the front-page information about author(s) &
contributor(s), WP, dissemination level, nature of the document, synopsis and
keywords.

Regarding the information submitted by application experiments beneficiaries,
the criteria included in the application form will be used as well to identify
documents and make data findable. The application from is submitted online via
the FundingBox platform using multiple-choice questions, that will facilitate
the creation of a database and the identification of projects by its
characteristics.

**3.2. Making data openly accessible**

**3.2.1._Data that will be made openly available_ **

The full data set of anonymised data will be also available for third parties
that would request access to the information for research purposes.
Furthermore, the anonymised datasets will be exploited through the creation of
maps and charts that will be updated for dissemination and communication
purposes. The maps and charts generated will be publicly shown as part of the
dissemination activities of the project.

**3.2.2._Process to make data available_ **

The availability of project data will depend on the purpose and the use that
third parties are going to make and the added value of sharing such data.
Third parties interested in using the data generated by the project will be
able to contact via the email of the project _hello@i4ms.eu_ . Moreover, the
Dashboard application of the FundingBox platform will also be used to share
data. Only anonymised data might be shared.

**3.2.3._Methods or software needed to access the data_ **

No specific software tools will be needed to access the data, since anonymised
data sets will be saved and stored in word, pdf or excel to facilitate its
exploitation and guarantee their long-term accessibility.

**3.2.4._Deposit of data, associated metadata, documentation and code_ **

I4MS will collect data of European SMEs, through an online form within
FundingBox Platform, which will be used during the Disruptors Awards Open
Calls. Data will be deposited and secured in the FundingBox platform.

**3.2.5._Access to data in case there are any restrictions_ **

The FundingBox platform allows to create users with different access levels.
Access can be granted online for a limited period of time, to a specific
information and using a secure mode via authentication.

**3.3. Making data interoperable**

**3.3.1._Interoperability of data assessment_ **

Partners will be responsible of storing the data in a comprehensive format and
adapted to the real and current needs of the possible practitioners interested
in using, merging or exploiting the data generated throughout the project. The
assessment of data interoperability will be updated in future reviews in order
to guarantee the I4MS data fits the needs of a specific scenario (such as
interests or purpose of data) as proposed by the GRDI2020 in its report Data
Interoperability (Pagano, P. et al. 2013).

**3.3.2._Vocabulary use_ **

The vocabulary used in the project is a very standard and common language
within the industry 4.0 ecosystem and involved technologies. Vocabulary won’t
represent any barrier for data interoperability a re-use.

**3.4. Increase data re-use (through clarifying licenses)**

**3.4.1._Data license_ **

Clauses referred to Access Rights (Section 9) and Non-disclosure of
information (Section 10) included in the Consortium Agreement (CA), as well as
deliverable 7.1 which offers a description of the project’s approach to ensure
that the applicants to the Disruptors Awards and the members of the I4MS
community conform to the ethical standards on privacy, data protection will be
key features governing the use of data by third parties.

Information related to the winning SMEs or any other communications related to
specific entities, such as the name of the entity, will be published for
dissemination purposes only after having obtained the beneficiaries’ consent.

As described in section 3.2.2. the I4MS mailbox will be the communication tool
used to request the access to data.

Regarding the data produced by sponsored projects, each beneficiary will be
responsible of permitting or restricting the access to their data and results.

**3.4.2._Data re-use availability period_ **

Statistical data related to the open calls and information about the winners
will be made accessible once the final winner is published. Other results such
as the name of participants in the I4MS Acceleration Programme will be
released in agreement with the participating SMEs and will be available 4
years after the end of the project unless otherwise stated in laws in force or
GA.

**3.4.3._Data quality assurance processes_ **

The project coordinator will be responsible of assuring the quality of the
data by making sure dataset follow the FAIR principles included in this plan,
and that data is up dated.

Personal data processing will be done following the EU, national and
international laws in force (in particular Regulation (EU) 2016/679 of the
European Parliament 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) taking into account the “data quality” principles
listed below:

  * Data processing is adequate, relevant and non-excessive; 

  

  * Accurate and kept up to date; 

  

  * Processed fairly and lawfully; 

  

  * Processed in line with data subjects’ rights; 

  

  * Processed in a secure manner; 

  

  * Kept for no longer that necessary and for the sole purpose of the project. 

  

**3.4.4._Length of time for which data will remain re-usable_ **

The Consortium will contribute to maintain data re-usable as longer as
possible after the end of the project. A first period of 4 years has been
established, however this time can be extended under partners agreement, laws
in force or GA. This period can vary depending on the value of the data after
the end of the project.

  4. **Allocation of resources**

    1. **Cost of making data FAIR**

  
  

  

  

No extra costs, apart from those linked to the maintenance of the FundingBox
platform, are expected for making data FAIR.

  2. **Data management responsibilities**

  

  

Concerning the data of applicants and beneficiaries, Fundingbox will be
responsible of managing the data stored in its platform (
_https://fundingbox.com/_ )  .

Regarding the data resulting from the activities of the project, each WP
leader will be responsible for the storage and compliance of the data and then
uploaded in the I4MS online community, or other storage systems to share the
information of the project, as per included in the Data Management Plan
(D1.5).

Each partner is responsible for all obtained data during their processing and
acquisition in their own organization.

The I4MS coordinator assisted by the WP leaders will be responsible of
updating this document and develop a strategy to encourage:

  * the identification of the most-suitable data-sharing and preservation methods; 

  

  * the efficient use of data assuring clear rules on its accessibility; 

  

  * the quality of the data stored and 

  

  * the storage in a secured in a user-friendly interface. 

  

  3. **Costs and potential value of long term preservation**

  

  

As stated in section 4.1. costs of data storage and maintenance are not going
to require extra funding once the project ends. As per the value of the data,
it is important to take into account that the topics covered by the project
respond to a current need of the manufacturing SMEs and mid-caps and are
related to the technological advancements of the 4 areas covered by I4MS (HPC
cloud-based simulation, IoT and CPS, Additive Manufacturing and robotics).
Therefore, data coming of this project will have a direct impact in the coming
years, but might not be of relevance as the challenges are being tackled or
replaced by other priorities.

  5. **Application Data Security**

  

  

I4MS will collect data of SMEs, through an online form within FundingBox
Platform which will be used during the Disruptors Awards Open Calls and other
administration processes managed by FBA, such as registration to events. Data
will be deposited and secured in the FundingBox platform. The information will
be captured through online forms and will be recorded and stored in FundingBox
Cloud infrastructure as an object database. The information will be accessible
through an online Dashboard application and only the anonymised data will be
downloadable in csv and xls formats. Only authorised users will be allowed to
access the data sets via authentication.

The FundingBox platform applies technological and organizational measures to
secure processing of all data in particular personal data against publishing
to unauthorised persons, processing in violation of the law and change, loss,
damage or destruction.

  * Information security: SSL (Secure Socket Layer) certificates are applied. In order to ensure the appropriate level of security, the password for the account will exist on the platform only in a coded form. Registration on and logging in to the platform proceeds in a secure https connection. Use of password to access data sets: the FundingBox platform offers 4 different access levels/roles (administrators, developers, evaluators and invitees) to secure access to data by unauthorised users. Communication between the User’s device and the servers will be encoded using the SSL protocol. 

  

  * Options for reading data: the platform offers the possibility to make data available in a read-only or downloadable format, hindering the access to information by unauthorised users. Once an Open Call finishes information is archived, so it’s no longer publicly accessible, only administrators will have access to the historic data in a read-only mode. 

  

  * Back-up policy: complete and redundant back-ups are done every hour. Moreover, every time a modification is done an older version is saved. 

  

  * Accidental deletion or modifications: in case of a catastrophic event that implies the partial or complete deletion of the data sets, the data from the most recent back up will be automatically restored (back-up won’t be older than 60 minutes). In case of accidental deletion or modification only the most recent document will be restored, so in case of accidental changes or deletion data can be easily recovered. 

  

  * Deletion or modification of data by users: only administrators have the rights to delete or modify the information included in the datasets. Under exceptional circumstances administrators can be given the permission to delete applications (utilities offered by the FundingBox platform) but the user responsible of its creation will be notified before doing so. 

  

  * Deletion of data by participants in open calls: users having started the application process can withdraw any time using the FundingBox platform before the deadline for submission. 

  

  * Terms and conditions: the FundingBox platform have specific terms of use and conditions that have to be accepted by all users of the platform. 

  

o FundingBox terms of service:  _https://fundingbox.com/about/terms_ o
FundingBox platform privacy policy  _https://fundingbox.com/about/privacy_

Each partner is responsible for all obtained data during their processing and
acquisition in their own organization. Each partner is obliged to implement
appropriate security measures to ensure the confidentiality of the data.

  6. **Public funding disclaimer**

  

  

All data produced within the framework of the project will inform of the
funding source by adding the following disclaimer and EU flag:

“This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 768631”