#  1\. Introduction

The RURITAGE project participates in the Pilot on Open Research Data launched
by the European Commission (EC) along with the H2020 programme. The aim of the
programme is to allow access to research data generated in H2020 projects. A
FAIR (findable, accessible, interoperable and re-usable) Data Management Plan
(DMP) is required a deliverable for all projects participating in the Open
Research Data Pilot.

Open access is defined as the practice of providing free of charge on-line
access to scientific information that is reusable. Scientific information may
be defined as research data and scientific peer-reviewed journal publications.

In the context of RURITAGE, research data will concern Key Performance
Indicators developed through the project and will include socio-economic,
environmental and cultural heritage related data. Spatial data will also be
collected and stored within the RURITAGE ATLAS (output from project). In
addition stakeholder’s perception of change will be collected via the Cult-
Rural Toolkit and stored in anonymous fashion and displayed in the ATLAS.
Personal data of participants in the project activities will also collected
and stored securely.

The Consortium believes in the concepts of open science and in the benefits
that can be drawn from allowing the reuse of data at a larger scale.

Furthermore, there is a need to gather experience and knowledge relating to
innovative use of heritage for rural regeneration. In fact, the majority of
European heritage is found in rural areas, however there is a much longer
tradition of heritage promotion in the urban context. Hence, most rural areas
are facing chronic economic, social and environmental problems, resulting in
unemployment, disengagement, depopulation, marginalisation or loss of
cultural, biological and landscape diversity. In most cases, tangible and
intangible Cultural Heritage is threatened.

This project proposes to remove this condition by demonstrating the heritage
potential for sustainable growth. Around Europe and in Third countries,
numerous examples of good practices show how CNH is emerging as a driver of
development and competitiveness through the introduction of sustainable and
environmentally innovative solutions and the application of novel business
models. The project will for the first time provide open access, high quality
data relating to the innovative use of heritage for rural regeneration.

Although the project embraces open access data there will be legitimate
situations where access to data will be restricted due to commercial
exploitation reasons. However processes will be developed to limit
restrictions, for example anonymising data or limited embargos on datasets.

##  1.2 Purpose of Data Management Plan

The purpose of the DMP is to provide an analysis of the main elements of the
data management policy that will be used by the Consortium with regard to the
project research data.

The DMP covers the complete research data life cycle (figure 1). It describes
the types of research data that will be generated or collected during the
project, the standards that will be used, how the research data will be
preserved and what parts of the datasets will be shared for verification or
reuse. It also reflects the current state of the Consortium agreements on data
management and must be consistent with exploitation and IPR requirements.

Figure 1.1: Research Data Cycle. (Source: University of Plymouth (2018).
_Research data cycle_ . Available online:
_https://plymouth.libguides.com/ld.php?content_id=31431849_ )

The DMP is not a fixed document, but will develop during the lifecycle of the
project, particularly whenever significant changes arise such as dataset
updates or changes in Consortium policies.

This document is the first version of the DMP, delivered in Month 6 (D8.3) of
the project. It includes an overview of the datasets to be produced by the
project, and the specific conditions that are attached to them. The next
versions of the DMP will get into more detail and describe the practical data
management procedures implemented by the project with reference with the IT
tools developed in WP4. At a minimum, the DMP will be updated in Month 24 and
Month 48 respectively.

This document has been produced following the EC guidelines for project
participating in this pilot.

#  2\. Data Summary

The dataset types that have been identified in the initial DMP are focused on
the description of the action and on results obtained in the first months of
the project.

Therefore, Table 1.1 reports a list of initial types of research data
identified. The list may have datasets added or removed in later versions of
the DMP as the project develops. Datasets relating to the ATLAS, Cult-Rural
Toolkit and replicators baseline data will be developed within the next period
of the project and therefore will be added to the next version of the DMP.
Details for each of the current dataset have been included in the following
section.

##  2.1 Dataset  
  
<table>  
<tr>  
<th>

**NAME of DATASET**

</th>  
<th>

**RESPONSIBLE**

**PARTNER**

</th>  
<th>

**WP**

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

Role Model BP

</td>  
<td>

TECNALIA

</td>  
<td>

WP1

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

Participatory Managment

</td>  
<td>

UNESCO

</td>  
<td>

WP2

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

Stakeholder Participants

Information

</td>  
<td>

UNIBO

</td>  
<td>

WP3

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

KPI Evidence

</td>  
<td>

CARTIF

</td>  
<td>

WP4

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

DSS Knowledge

</td>  
<td>

POLITO

</td>  
<td>

WP5

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

Dissemination Information

</td>  
<td>

ICLEI

</td>  
<td>

WP7/WP6

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

Table 1.1 DataSet Types

###  2.1.1 Dataset 1 Role_Model_BP  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 1: Role_Model_BP

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

**DATASET DESCRIPTION:**

The data collected in this dataset relates to best practices and lesson learnt
from RMs. It contains contextual data, description of the process, description
of the stakeholders and resources involved. It would include also a
description of the actions that can be replicated. The data is in an excel
sheet format, with a workbook for each RM.

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

**ORIGIN, NATURE AND SCALE OF DATA:**

The data is gathered from the RMs via a questionnaires campaign. The scale of
the data relates to the number of RMs .

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

**STANDARDS AND METADATA:**

Specific keywords will be attached to document to make them findable.

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

**DATA SHARING:**

During the lifecycle of the project all raw data will the stored on the
RURITAGE SharePoint site which is backup via University of Plymouth IT
systems. Sensitive data will be shared between partners via SharePoint folders
with limit access to data. Sensitive data will not be shared outside the EU

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

**ARCHIVING AND PRESERVATION:**

Research datasets that can be shared will be uploaded to ZENODO repository
with detailed metadata to insure discoverability. In additional to ZENODO, a
metadata record for each dataset will be added to the University of Plymouth’s
“PEARL” open publication/data repository (  _https://pearl.plymouth.ac.uk/_ )
in order to improve discoverability.

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

**2.1.2 Dataset 2 Participatory_Management**  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 2: Participatory_Managment

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

**DATASET DESCRIPTION:**

The data within this dataset relates to the theoretical and methodological
approach to the participatory process into the Rural Heritage Hubs. The
Methodology has been divided in three phase: 1) Setting up the Hub
(identifying hub coordinator, hub space, hub stakeholders and multi-use of the
hub); 2) Activities to be implemented in the Hub (includes a detailed
individual calendar with activities to be implemented for each of the RMs and
Rs); 3) Monitoring the Hub (i.e. processes and indicators). A document
detailing the methodology will be complied and will contain several annexes
including contact details of Hub coordinators. A Serious Game kit which will
be part of the RURITAGE Replicator Tool Box (WP5) will be produced and be free
to download by other institutions interested in being trained and in using the
game (DIY approach).

A word documents/pdfs containing (‘match-making agreement’, schedule for the
visits, required inputs, expected outputs will also be produced. This is
likely to contain contact details. Video recordings of presentation will be
produced and placed on YouTube channel. The video recordings will not include
personal data.

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

**ORIGIN, NATURE AND SCALE OF DATA:**

This dataset is a document that builds on research about participatory
process. It also includes a calendar of planned events and explains different
techniques that can be used in hub activities. Deliverable of the RURITAGE
project (D2.2 – public): Serious Game kit which will be part of the RURITAGE
Replicator Tool Box (WP5) The scale of the data will relate to the number of
RMs and Rs and future participatory activity.

Recordings of online presentation (min. 9 videos) to be uploaded on YouTube
will be produced.

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

**STANDARDS AND METADATA:**

Specific keywords will be attached to document to make them findable and
keywords and digital object identifiers will be to the game kit and YouTube
videos.

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

**DATA SHARING:**

Videos will be shared on YouTube channel that will be created for the project.
These videos will also be part of WP5 Platform and the project web page.

The documents containing the methodology and approach will be shared via
webpage and events. However Annex III, which contains the contact details will
not be shared. Any raw data will the stored on the RURITAGE SharePoint site
which is backup via University of Plymouth IT systems. Sensitive data will

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

be shared between partners via SharePoint folders with limit access to data.
Sensitive data will not be shared outside the EU

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

**ARCHIVING AND PRESERVATION:**

Research datasets that can be shared will be uploaded to ZENODO repository
with detailed metadata to insure discoverability. In additional to ZENODO, a
metadata record for each dataset will be added to the University of Plymouth’s
“PEARL” open publication/data repository (  _https://pearl.plymouth.ac.uk/_ )
in order to improve discoverability. The documents outlining the methodology
will be upload to repository and open access papers will be produced to share
the method.

In order to insure longevity of video recordings as suitable format for
archiving will be explored.

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

**2.1.3 Dataset 3 Stakeholder_Participants_Information**  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 3: Stakeholder_Participants_Information

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

**DATASET DESCRIPTION:**

This dataset will include the stakeholders’ databases coming from the 13 RMs
and the 6 Rs. A Total of 38 databases will then be produced. Indeed, each RM
and each R will have to compile two different databases:

  * One including the organizations involved as stakeholders in the process of the RHH 

  

  * One including details (anonymised personal information) of the citizens that will also participate into the RHH 

  

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

**ORIGIN, NATURE AND SCALE OF DATA:**

The databases will come from the RMs and Rs that will compile those also
including the personal information and contact details of the participants.
The databases will be fulfilled and transmitted in an .xlsx format.

_Organizations’ database_

The database that will be transmitted from RMs and Rs to responsible project
partners (CE and UNIBO) will include the following information:

  * Name of the Organisation 

  

  * Organisation level 

  

  * Organisation Form 

  

  * Value chain (for profit organizations) 

  

  * Sector of activity (for non-profit organizations) 

  

  * Brief description of the organisation 

  

  * Organisation address 

  

  * Website 

  

  * Generic organisation email 

  

  * Twitter/Facebook handle of the organisation (if applicable) 

  

  * Additional comments 

  

  * Topic of interest: Pilgrimage, Sustainable local Food production, migration, art and festival, integrated landscape management, resilience 

  

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

The following information will be collected by the partners but will not be
transmitted to project partners and thus won’t be included in the databases:

  * Name 

  

  * Role 

  

  * Residence 

  

  * Gender 

  

  * Age (range of age) 

  

  * Disability 

  

  * Email 

  

  * Telephone 

  

_Organizations’ database_

The database that will be transmitted from RMs and Rs to responsible project
partners (CE and UNIBO) will include the following information:

  * Residence 

  

  * Gender 

  

  * Age (Range of age) 

  

  * Disability 

  

  * Topic of interest: Pilgrimage, Sustainable local Food production, migration, art and festival, integrated landscape management, resilience 

  

The following information will be collected by the partners but will not be
transmitted to project partners and thus won’t be included in the databases:

  * Name 

  

  * Email 

  

  * Telephone 

  

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

**STANDARDS AND METADATA:**

Specific keywords will be attached to document to make them findable, however
this is only for internal use as information is confidential.

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

**DATA SHARING:**

The template with the full contact and personal details will be kept, together
with their relevant signed consent form and information sheets, a secure
folder on the project SharePoint site that is only accessible to the
responsible partners and won’t be shared with any other project partners. The
anonymized databases will be included in Del 3.2 that will be available to all
project partners and to the commission services. The deliverable is expected
to be submitted at M10 of the project implementation (End of March 2019).

Deliverable 3.2 will in any case be kept confidential, meaning that it will
not be shared with a wider audience.

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

**ARCHIVING AND PRESERVATION:**

Research datasets that can be shared will be uploaded to ZENODO repository
with detailed metadata to insure discoverability. In additional to ZENODO, a
metadata record for each dataset will be added to the University of Plymouth’s
“PEARL” open publication/data repository (  _https://pearl.plymouth.ac.uk/_ )
in order to improve discoverability.

Datasets that are confidential will be archived within the University of
Plymouth system with restricted access for 5 years to support any queries.

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

###  2.1.4 Dataset 4 KPI_Evidence  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 4: KPI_Evidence

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

**DATASET DESCRIPTION:**

Dataset will provide quantifiable evidences of the potential role of CNH as a
driver for sustainable growth. WP4 will monitor the performance of the
deployed regeneration schemes in the 6 Rs through selected Key Performance
Indicators (KPIs).

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

**ORIGIN, NATURE AND SCALE OF DATA:**

  * Origin: Data are provided mainly by (Rs), or obtained from official statistics (Eurostat or the like). 

  

  * Nature: Most of data are quantitative, either absolute values or percentages. - Scale: Considering the worst case: 

  

6 Rs + 6 additional Res = 12 cases

Less than 100 KPIs

3 data gathering campaigns (Baseline + intermediate + final)

TOTAL = 12 x 100 x 3 = 3,600 data fields (approx.)

It should be taking into account the project exploitation and upscaling after
project’s end, so scale could be 3 or 4 times the estimated value (i.e. 10,800
– 14,400 data fields).

Optionally, some KPIs could also be collected from (RM). In that case, there
will be no monitoring, i.e. no gathering campaigns, so only baseline data will
be collected.

13 RM + 8 additional RM = 21 cases

Less than 100 KPIs

TOTAL = 2,100 data fields

TOTAL = 14,400 + 2,100 = 16,500 data fields (aprox.)

Detailed information on data types and formats can be found in Deliverable
D4.1 ‘KPIs definition and evaluation procedures’.

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

**STANDARDS AND METADATA:**

Data will be stored in a database (PostgreSQL, MySQL, or similar), preferably
open source database, as INTEGER, FLOAT or STRING data type. Minimum metadata
will be data source, timestamp, validity, …

Data field names and table names will be auto-descriptive, avoiding the use of
abbreviations. All names will be lowercase, except for the first letter
between two consecutive words, e.g. tableName. Variables must include a letter
at the beginning of the name illustrating data type of the variable (‘i’ for
integer, ‘f’ for float and ‘s’ for string data), e.g. iAge,
fAverageTemperature, sAddress.

Versioning will be formed by a major version number, followed by a dot and a
minor version number, starting from ‘0.1’. Including new data in the
Monitoring database does not mean a new version. Minor changes in the
database, as modifying or including a new data field, will suppose increasing
minor version number. Major changes, as removing or including a new table,
will suppose increasing major version number.

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

**DATA SHARING:**

Data will be open access. No personal data is stored, so no issues regarding
GDPR are expected. Data will be accessible through the RURITAGE platform. The
only tool necessary to access the data is a web browser, but some database
management system (DBMS) as PostgreSQL or MySQL and some database
administration tools like phpPgAdmin or phpMyAdmin, could be necessary to
manage the dataset properly. This will be documented accordingly to enable
future reuse.

Licence conditions of official statistics obtained will be checked to insure
they do not impact on sharing of data outputs.

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

**ARCHIVING AND PRESERVATION:**

Research datasets will be uploaded to ZENODO repository with detailed metadata
to insure discoverability.

In additional to ZENODO, a metadata record for each dataset will be added to
the University of Plymouth’s “PEARL” open publication/data repository (
_https://pearl.plymouth.ac.uk/_ )  in order to improve discoverability.

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

**2.1.5 Dataset 5 DSS_Knowledge**  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 5: DSS_Knowledge

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

**DATASET DESCRIPTION:**

This dataset relates to the data generated from the DSS. The DSS will use data
from other WPs and inbuilt rules to generate suggestions relating to
regeneration policies that Rs can use. The results were be in a textual form.

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

**ORIGIN, NATURE AND SCALE OF DATA:**

Data are generated by the DSS using as input other datasets from WP1 and WP5.
The scale of data relates to the number of Rs (currently 6 increasing to 12
over life of project) involved but will expand when the project is up scaled.

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

**STANDARDS AND METADATA:**

There are no standards, however all data stored/produced will be documented
and tagged with keywords

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

**DATA SHARING:**

During the lifecycle of the project all raw data will the stored on the
RURITAGE SharePoint site which is backup via University of Plymouth IT
systems. Sensitive data will be shared between partners via SharePoint folders
with limit access to data. Sensitive data will not be shared outside the EU.
Data will be also be accessible through the RURITAGE platform.

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

**ARCHIVING AND PRESERVATION:**

Research datasets that can be shared will be uploaded to ZENODO repository
with detailed metadata to insure discoverability. In additional to ZENODO, a
metadata record for each dataset will be added to the University of Plymouth’s
“PEARL” open publication/data repository (  _https://pearl.plymouth.ac.uk/_ )
in order to improve discoverability. Data will also be archived in the ARCHES
database

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

**2.1.6 Dataset 6 Dissemination_Information**  
  
<table>  
<tr>  
<th>

**DATASET REFERENCE AND NAME:**

Dataset 6: Dissemination_Information

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

**DATASET DESCRIPTION:**

During the WP7 Dissemination and Communication Activity the following
information might be temporary requested from participants:

  * Name of participant 

  

  * Name of organisation represented 

  

  * City where the organisation is located 

  

  * Work Emails Address 

  

  * Work phone number 

  

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

**ORIGIN, NATURE AND SCALE OF DATA:**

The events that are likely to request this information are:

  * EU and International cooperation with other similar projects. Information might be necessary for communication between our project and other organisations. 

  

  * Community events - Information might be necessary for registering and informing participants about the event. 

  

  * Photo Contest and Troubadour activities - Information might be necessary for registering and informing participants about the contest results, as well as for the troubadour diary. 

  

  * Public events, workshops (e.g. Dialogue Breakfast and joint meetings) and conferences: - 

  

Information might be necessary for registering and informing participants
about the contest results.

  * Newsletters - Information might be necessary for subscribing. 

  

  * Summer Schools and Master Course – Information will be necessary for registering on courses. 

  

The scale of the data is indicated in the D7.1 Communication and Dissemination
Plan (and its regular updates).

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

**STANDARDS AND METADATA:**

Due to the fact that information will not be shared additional descriptive
metadata is not required.

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

**DATA SHARING:**

The information will not be shared externally. The information is just needed
and used for the practical organisation and functioning of the cooperation,
events, contest and newsletter. The data presented, will be accessed just by
the core team (involved in the development that particular event). The data
will the stored on the RURITAGE SharePoint site which is backup via University
of Plymouth IT systems. Data will be stored in restricted access folders on
the site.

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

**ARCHIVING AND PRESERVATION:**

All the data will respect carefully the GDPR requirements and will be
responsibly administrated and managed.

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

#  3\. Open access to publication

The RURITAGE consortium is an open data pilot project within H2020 programme;
this means that all the publications deriving from the project should be
published in open access. To ensure open access to scientific journal
publications, appropriate project budget has been allocated and will be
available to all partners producing scientific journal publications. Hence all
scientific journal publication will follow a “Gold” route and be open access
on the day of publication. The University of Plymouth also manages and
maintains “PEARL” (https://pearl.plymouth.ac.uk/) an open publication
repository, therefore all publications (“postprint” version) will be deposited
in the repository within 20 days of acceptance. All “postprint” version will
then be replaced by final versions when copyright allows. RURITAGE intends to
publish at least 10 publications.

#  4\. Open access to raw data

##  4.1 Data Storage, Security, back up and repository

All RURITAGE project datasets will be stored on the project SharePoint. The
site is hosted in the Microsoft Cloud (which sit on a secure EU server). The
site will be automatically backed up every 12 hours by the service provider
(Microsoft). SharePoint Online (part of Office 365) provides encryption during
data storage and transfer. It has been approved by the University Security
Architects for the storage of valuable research data. (See security
certifications:  _https://technet.microsoft.com/en-
GB/library/office-365-compliance.aspx_ )  The PI can use the site to share
documents with the partners, reducing duplication and the risks associated
with emailing documents. The PI can set up different access permission levels
to fit in with confidentiality requirements.” When appropriate research
datasets will be uploaded to ZENODO repository with detailed metadata to
insure discoverability. In additional to ZENODO, a metadata record for each
dataset will be added to the University of Plymouth’s “PEARL” open
publication/data repository (  _https://pearl.plymouth.ac.uk/_ )  in order to
improve discoverability. This will ensure wide dissemination of relevant
scientific outputs. Links will also be created to openAIRE platform.

A dedicated dissemination plan will also ensure that materials are shared with
relevant groups and stakeholders.

#  5\. Ethics and Data protection

As defined in the relevant datasets personal data protection will be ensured
in all the step of the project. In particular RURITAGE comply with the H2020
Ethical standard and rules according to the following procedures:

  * A signed consent form will be collected from all research participants who are participating in the research before any data collection takes place. An information sheet will also be provided to all research participants. The following information will be included in the information sheet: o Details of what the study is about, who is undertaking the study and why it is being conducted; o Link to the web page containing the Privacy Notice for Research Participants. 

    * Clear details of what participation would involve- i.e. What they would be asked to do, where, for how long etc.; 

  

    * The advantages/disadvantages of taking part; o Who is funding the study; o Who has reviewed/authorised the study; 

  

    * The researcher’s contact details; o Another named person, besides the researcher, whom people can contact (e.g. With any questions / complaints); 

  

    * What will happen to the data collected- how it will be stored, for how long and with whom / how it will be shared, whether it will be anonymised, how it will be published also including whether any automated decision-making will apply, as well as the significance and the envisaged consequences of such processing for the participant; 

  

    * How long it will be retained, security measures in place; o The categories of personal data collected; o What safeguards are in place in relation to personal data shared with other parties and/or transferred out of Europe; 

  

    * The source of the personal data if not from the participant or if additional to them, for example whether it came from publicly accessible sources (e.g. Online, social media, NHS) 

  

    * Participation is voluntary; people are free to withdraw at any time without giving a reason and with no negative consequences; any timescales for withdrawal; 

  

    * Eligibility criteria; 

  

  

  * A GDPR and Information Security online training course hosted on the Project SharePoint site has been developed and all partners responsible for collecting data will undertake the training. This will insure that all researchers have a good understanding of GDPR regulations and that the study is complying with GDPR regulation concerning the collection, processing and storage of personal data. 

  

#  6\. Other Data Management issues

**6.1 Responsibilities and Resource Allocation for Data**

##  Management

Each WP has been allocated appropriate resources to manage the planning,
collection, processing, publication to open access repositories and archiving
of data produced within their WP. Each partner will respect the processes
identified in the DMP and support the WP leaders. Resource has also been
allocated to develop and maintain the project SharePoint site that will store
data in a secure fashion. The SharePoint site will be maintained for the life
of the project and beyond. Both the Coordinator and University of Plymouth
have appropriate resources allocated to their project budgets to manage the
overall data management plan and provide suitable training and guidance to all
partners as and when required.

###  6.2 Intellectual Property Rights

In line with the Grant Agreement, the Consortium has a policy of protecting
the project’s results, whenever results are expected to be commercially
exploitable and whenever this protection is possible, reasonable and
justified. Where this is applicable, the necessary steps to protect the
associated IP will be included in the Action Plan for the relevant project
results. IPR will be managed through the detailed internal IP Protection Plan
that will be developed in WP8.

The ownership of results is strictly controlled by the Consortium Agreement
(CA) - Section 8, which includes all provisions related to the Ownership of
Results, Joint Ownership of Results, Use of Results and Transfer of Results.
Specifically relating to jointly owned results which could be commercially
exploited, including but not limited to RURITAGE Systematic Innovation Areas
(SIAs), RURITAGE branding, RURITAGE Decision Support System (DSS), Serious
Game Kit, RURITAGE Atlas, My Cult-Rural Toolkit; these will be the subject of
discussion among the parties that participate in the development of such
results. The parties shall make their best efforts to negotiate in good faith
and finalise joint ownership agreements before the end of the project.