#  Introduction

The current document constitutes the final version of the **Data Management
Plan** (DMP) elaborated in the framework of the **INNO-4-AGRIFOOD** project,
which received funding from the European Union’s Horizon 2020 Research and
Innovation Programme under Grant Agreement No 681482. INNO-4-AGRIFOOD aimed at
fostering, supporting and stimulating **online collaboration for innovation**
amongst **agri-food SMEs** across Europe. To this end, the project enhanced
the service portfolio and practices of **innovation intermediaries and SME
support networks** across Europe by providing them with a well-tailored blend
of demand-driven **value propositions** , including:

  * A **new generation of value added innovation support services** aimed at empowering their agri-food SME clients to capitalise on the full potential of online collaboration for innovation. 

  

  * A **suite of smart and platform-independent ICT tools** to support and optimise the delivery of the novel online collaboration for innovation support services. 

  

  * A **series of highly interactive and flexible e-training courses** equipping them with the knowledge and skills required to successfully deliver these new services. 

  

On top of the above mentioned, the accumulated experience and lessons learned
through INNO-4-AGRIFOOD has been translated into meaningful **guidelines** to
be diffused across Europe so as to fuel the replication of its results and
thus enable SMEs in other European sectors to tap into the promising potential
of online collaboration for innovation as well.

To this end, INNO-4-AGRIFOOD brought together and was implemented by a well-
balanced and complementary **consortium** , which comprised of **7 partners
across 6 different European countries** , as presented in the following table.

##  _Table 1: INNO-4-AGRIFOOD consortium partners_  
  
<table>  
<tr>  
<th>

**Partner**

**No**

</th>  
<th>

**Partner Name**

</th>  
<th>

**Partner short name**

</th>  
<th>

**Country**

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

1

</td>  
<td>

Q-PLAN INTERNATIONAL ADVISORS (Coordinator)

</td>  
<td>

Q-PLAN

</td>  
<td>

Greece

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

2

</td>  
<td>

Agenzia per la Promozione della Ricerca Europea

</td>  
<td>

APRE

</td>  
<td>

Italy

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

3

</td>  
<td>

IMP  3  rove – European Innovation Management

Academy EWIV

</td>  
<td>

IMP  3  rove

</td>  
<td>

Germany

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

4

</td>  
<td>

European Federation of Food Science and Technology

</td>  
<td>

EFFoST

</td>  
<td>

Netherlands

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

5

</td>  
<td>

BioSense Institute

</td>  
<td>

BIOS

</td>  
<td>

Serbia

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

6

</td>  
<td>

National Documentation Centre

</td>  
<td>

EKT/NHRF

</td>  
<td>

Greece

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

7

</td>  
<td>

Europa Media szolgaltato non profitkozhasznu KFT

</td>  
<td>

EM

</td>  
<td>

Hungary

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

In this context, the **final version of the DMP** presents the data management
principles set forth in the framework of INNO-4-AGRIFOOD by its consortium
partners (Chapter 2). Moreover, it builds upon the interim version of the DMP
and provides an updated list of the datasets that have been processed and/or
produced during the project along with an up-to-date description for each one
(Chapter 3), addressing crucial aspects pertaining to their management and
taking into account the “  _Guidelines on Data Management in Horizon_ _2020_ ”
provided by the European Commission (EC).

#  Data management principles

##  Data archiving and preservation

The datasets produced by INNO-4-AGRIFOOD that were deemed open for sharing and
re-use are currently deposited to Zenodo  ( _www.zenodo.org_ )  , an open data
repository, with a view to increasing data interoperability. This data
repository, created by OpenAIRE and CERN, has been chosen to enable open
access to the project’s open data free of charge. In fact, Zenodo builds and
operates a simple service that enables researchers, scientists, EU projects
and institutions, among others, to share and showcase research results
(including datasets and publications) that are not part of the existing
institutional or subject-based repositories of the research communities. In
this respect, the Coordinator (Q-PLAN) has uploaded all open datasets to
Zenodo, while all partners have disseminated them through their professional
networks and other communication channels.

_**Figure 1: CC BY-NC-ND 4.0** _ On top of the aforementioned, INNO-4-AGRIFOOD
has published its openly available data under the **Creative Commons licencing
scheme** to foster their re-use and build an equitable and accessible
environment for them. In fact,

Zenodo provided the opportunity to publish the project’s data under a

preferable Creative Common Licence. With that in mind, **the consortium has
decided that the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
International (CC BY-NC-ND 4.0) is an appropriate licensing scheme to ensure
the widest re-use of the data** , while also taking into account the
importance of recognising both the source and the authority of the data.

##  Metadata and standards

All open datasets produced by INNO-4-AGRIFOOD are accompanied with data that
facilitate their understanding and re-use by interested stakeholders. This
data includes basic details that assists interested stakeholders to locate the
dataset, including its format and file type as well as meaningful information
about who created or contributed to the dataset, its name and reference, date
of creation and under what conditions it may be accessed. To this end, the
project followed a metadata-driven approach so as to increase the
searchability of its datasets. With that in mind, data repository Zenodo
created appropriate metadata to accompany the datasets that have been uploaded
to its repository, extending their reach to a wider audience of interested
stakeholders. Moreover, complementary documentation (when needed) also
encompasses details on the methodology used to collect, process and/or
generate the datasets, definitions of variables, vocabularies and units of
measurement as well as any assumptions made. Finally, whenever possible,
consortium partners have identified and utilised existing standards.

##  Data sharing

The Coordinator (Q-PLAN) in collaboration with the respective Work Package
Leaders of the project, determined how the data collected and produced in the
framework of INNO-4-AGRIFOOD has been shared. This included the definition of
access procedures as well as potential embargo periods along with any
necessary software and/or other tools which may have been required for data
sharing and re-use. In case the dataset could not have been shared, the
explicit reasons for this have been clearly mentioned (e.g. ethical, rules of
personal data, intellectual property, commercial, privacy-related, security-
related). A consent has been requested from all data providers  1  in order to
allow for their data to be shared. Under this light, only anonymised and
aggregated data has been shared to ensure that data providers cannot be
identified in any reports, publications and/or datasets resulting from the
project. The project partners have undertaken the necessary anonymisation
procedures to anonymise the data in such a way that the data providers are no
longer identifiable.

##  Ethical considerations

INNO-4-AGRIFOOD entailed activities which involved the **processing of data
that did not fall into any special category of personal data** 2  (i.e. non-
sensitive data). The collection/generation of this data from individuals
participating in the project’s activities has been based upon a **process of
informed consent** . In fact, any personal data collected/generated in the
framework of INNO-4-AGRIFOOD has been processed according to the principles
laid out by the **Regulation (EU) 2016/679 of the European Parliament and of
the Council** **of 27 April 2016** 3  4  on the protection of natural persons
with regard to the processing of personal data and on the free movement of
such data which entered into force in May 2018 aiming to protect individuals’
rights and freedoms in relation to the processing of their personal data,
while also facilitating the free flow of such data within the European Union.
Along these lines, **data was collected/generated only for specified, explicit
and legitimate purposes** relative to project’s objectives. Moreover, all
project partners tasked with processing data during the course of
INNO-4-AGRIFOOD fully abided with their respective applicable national as well
as EU regulations while at the same time are able at any time to demonstrate
their compliance during the entire timespan of the project (principle of
accountability).

#  Data management plan

##  Overview

INNO-4-AGRIFOOD placed special emphasis on the management of the valuable data
that has been collected, processed and generated throughout its activities. In
this respect, the table below provides a list of the datasets identified by
INNO-4-AGRIFOOD consortium members, indicating the name of the dataset, its
linked Work Package and the respective leading consortium member (i.e. Work
Package Leader) as well as its status compared to the previous version of the
DMP.

###  _Table 2: List of INNO-4-AGRIFOOD datasets_  
  
<table>  
<tr>  
<th>

**No**

</th>  
<th>

**Dataset Name**

</th>  
<th>

**Linked**

**Work**

**Package**

</th>  
<th>

**Work**

**Package**

**Leader**

</th>  
<th>

**Status**

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

1

</td>  
<td>

Analysis of the agri-food value chain

</td>  
<td>

WP1

</td>  
<td>

BIOS

</td>  
<td>

\-

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

2

</td>  
<td>

Needs of agri-food SMEs in terms of online collaboration for innovation
support

</td>  
<td>

WP1

</td>  
<td>

BIOS

</td>  
<td>

\-

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

3

</td>  
<td>

Skills of innovation intermediaries in terms of supporting online
collaboration for innovation

</td>  
<td>

WP1

</td>  
<td>

BIOS

</td>  
<td>

\-

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

4

</td>  
<td>

Outcomes of the INNO-4-AGRIFOOD Cocreation Workshop – E-learning

</td>  
<td>

WP2

</td>  
<td>

IMP  3  rove

</td>  
<td>

Updated  5

(M30)

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

5

</td>  
<td>

Case-based training material supplemented by theoretical information on the
topic

</td>  
<td>

WP2

</td>  
<td>

IMP  3  rove

</td>  
<td>

\-

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

6

</td>  
<td>

Outcomes of the INNO-4-AGRIFOOD Cocreation Workshop – Services and tools

</td>  
<td>

WP3

</td>  
<td>

Q-PLAN

</td>  
<td>

Updated  4

(M30)

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

7

</td>  
<td>

Pool of agri-food SMEs

</td>  
<td>

WP4

</td>  
<td>

APRE

</td>  
<td>

Updated

(M30)

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

8

</td>  
<td>

Roster of specialists database

</td>  
<td>

WP4

</td>  
<td>

APRE

</td>  
<td>

Updated

(M30)

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

9

</td>  
<td>

Service testing metrics

</td>  
<td>

WP4

</td>  
<td>

APRE

</td>  
<td>

Updated

(M30)

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

**No**

</td>  
<td>

**Dataset Name**

</td>  
<td>

**Linked**

**Work**

**Package**

</td>  
<td>

**Work**

**Package**

**Leader**

</td>  
<td>

**Status**

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

10

</td>  
<td>

User data and learning curve of e-learning participants

</td>  
<td>

WP5

</td>  
<td>

EM

</td>  
<td>

Updated  6

(M30)

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

11

</td>  
<td>

Feedback derived from e-learning participants

</td>  
<td>

WP5

</td>  
<td>

EM

</td>  
<td>

Updated  5

(M30)

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

12

</td>  
<td>

Awareness creation, dissemination and stakeholder engagement

</td>  
<td>

WP6

</td>  
<td>

EFFoST

</td>  
<td>

Updated

(M30)

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

With the identified datasets of INNO-4-AGRIFOOD in mind, the current section
of the DMP provides meaningful information per each one, including:

  * The name of the dataset. 

  

  * The type of study in the frame of which the dataset is produced. 

  

  * A concise description of the dataset. 

  

  * The methodology and tools employed for collecting/generating the data. 

  

  * The format and volume of the dataset. 

  

  * Any standards that will be used (if applicable) and/or metadata to be created. 

  

  * Potential stakeholders for whom the data may prove useful. 

  

  * Provisions regarding the confidentiality of the data. 

  

###  Important remark

The information provided within this section reflects the current views and
plans of INNO-4-AGRIFOOD consortium partners at this final of the project
(M30). The template employed for collecting the information from project
partners is annexed to this document.

##  Analysis of the agri-food value chain  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Analysis of the agri-food value chain.

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

**Type of study**

</td>  
<td>

Agri-food value chain analysis aimed at revealing the primary value chain
areas and SME actors to be targeted by the project based on both secondary and
primary research.

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

**Dataset description**

</td>  
<td>

Data derived from interviews with members of the Advisory and Beneficiaries
boards of INNO-4-AGRIFOOD, providing their opinions about the needs of SMEs
with respect to innovation support and the opportunities for online
collaboration for innovation.

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

**Methodologies for data collection / generation**

</td>  
<td>

A semi-structured questionnaire was employed in order to collect qualitative
data during the interviews.

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

**Format and volume of the dataset**

</td>  
<td>

The dataset is stored within a .zip file which comprises of 7 distinct
documents stored in .docx formats. The total size of the (uncompressed)
dataset is 1.12 MB.

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

**Metadata and**

**standards**

</td>  
<td>

Each document of the dataset is accompanied by descriptive metadata including
title, author and keywords.

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset provided INNO-4-AGRIFOOD consortium members with valuable
information from the perspective of agri-food stakeholders, fuelling and
complementing the agri-food value chain analysis conducted in the context of
the project.

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

**Confidentiality**

</td>  
<td>

The outcomes of the study that produced the dataset have been published
through th  e _Agri-food Value Chain Analysis Report_ ,  available at the web
portal of the project. The report contains only aggregated data so as to
ensure the confidentiality of the interviewees and their responses. The
dataset itself, used only in the context of the project, is not intended for
sharing and/or re-use, with a view to safeguarding the privacy of
interviewees. With that in mind, the dataset has been archived at the private
server of the Coordinator (Q-PLAN) and will be preserved for at least 5 years
following the end of the project, before eventually being deleted.

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

##  Needs of agri-food SMEs in terms of online collaboration for innovation
support  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Needs of agri-food SMEs in terms of online collaboration for innovation
support.

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

**Type of study**

</td>  
<td>

Interview-based survey of representatives of agri-food SMEs as well as
innovation intermediaries aimed at revealing the needs, level of readiness and
profiles of agrifood SMEs in terms of online collaboration for innovation.

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

**Dataset description**

</td>  
<td>

The dataset contains the responses (mostly qualitative) provided by
interviewees who participated in the study, addressing different aspects of
the current situation in the EU with respect to online collaboration for
innovation amongst SMEs in the agri-food sector as well as diverse topics
relevant to collaborating for innovation by employing online means (e.g.
specific attributes of platforms and tools needed for online collaboration,
support that SMEs may seek or need in this respect, etc.).

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

**Methodologies for data collection / generation**

</td>  
<td>

The collection of the data was realised through a semi-structured
questionnaire administered to survey participants in the frame of interviews.
An online (web) form was employed by interviewers in order to submit a record
to the dataset.

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

**Format and volume of the dataset**

</td>  
<td>

The dataset has been stored in spreadsheet (.xls) and .pdf formats, both of
which containing the 52 replies derived from the interview-based survey. The
size of the dataset in .xls format is 0.17MB, while in .pdf is 0.76MB.

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

**Metadata and**

**standards**

</td>  
<td>

Descriptive metadata (i.e. title, author and keywords) have been created to
accompany the dataset.

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

**For whom might the dataset be useful?**

</td>  
<td>

The insights derived from the analysis of the data have been key in the
process of co-creating and developing the novel services and tools of
INNO-4-AGRIFOOD according to the needs of agri-food SMEs and their innovation
intermediaries.

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

**Confidentiality**

</td>  
<td>

The findings and conclusions of the study based on the processing and analysis
of the data within this dataset, have been openly shared through the  _Agri-
food SME_ _Profiling and Needs Analysis Report_ ,  which is published at the
web portal of INNO4-AGRIFOOD. The report contains only aggregated data so as
to ensure the confidentiality of the interviewees and their responses. The raw
data collected through the interview-based survey will not be shared and/or
re-used (outside the framework of the project and/or beyond its completion) to
safeguard the privacy of data providers. Hence, the dataset, currently
archived at the private server of the Coordinator (Q-PLAN), shall be preserved
for at least 5 years following the end of the project, before eventually being
deleted.

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

##  Skills of innovation intermediaries in terms of supporting online
collaboration for innovation  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Skills of innovation intermediaries in terms of supporting online
collaboration for innovation.

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

**Type of study**

</td>  
<td>

Online survey of staff of innovation intermediaries and SME support networks
aimed at assessing the current level of their knowledge and skills in
providing support to the online collaboration for innovation endeavours of
agri-food SMEs.

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

**Dataset description**

</td>  
<td>

The data collected comprises predominantly quantitative responses provided by
the participants of the online survey, including demographic information as
well as their perceived level of skills (gauged via a 5-scale Likert scale) in
different skill areas, including agri-food industry, support services,
collaboration, innovation management and soft skills.

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

**Methodologies for data collection / generation**

</td>  
<td>

A structured questionnaire was used in order to collect the data. The
questionnaire was self-administered and survey participants were able to
access it online by following a dedicated link.

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

**Format and volume of the dataset**

</td>  
<td>

The dataset has been stored in standard spreadsheet format (.xlsx). In total,
79 respondents from the EU as well as 23 from around the world filled in and
successfully submitted a questionnaire resulting in 102 responses in total.
The same number of records was collected and is now within the dataset. The
size of the dataset is 53KB.

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

**Metadata and**

**standards**

</td>  
<td>

The dataset has been accompanied by descriptive metadata (i.e. title, author
and keywords).

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset has been of great use to INNO-4-AGRIFOOD consortium members,
enabling them to unearth the insight required to set the stage for the need-
driven co-creation and development of the project’s e-learning curriculum and
modules.

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

**Confidentiality**

</td>  
<td>

The  _Skills Mapping and Training Needs Analysis Report_ ,  available at the
web portal of the project, provides public access to the findings of the study
in the frame of which this dataset has been produced. Moreover, the report
contains only aggregated data so as to ensure the confidentiality of the
interviewees and their responses. Records of the database are available only
to consortium partners and are not intended for sharing and/or re-use, so as
to ensure the privacy of the study’s participants. The dataset itself is
archived at the private server of the Coordinator (Q-PLAN) and will be
preserved for at least 5 years following the end of the project, before
eventually being deleted.

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

##  Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop – E-learning  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop – E-learning.

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

**Type of study**

</td>  
<td>

The INNO-4-AGRIFOOD Co-creation Workshop which was held on the 15  th  of
September 2017 at Amsterdam, the Netherlands in order to co-create, along with
stakeholders of the agri-food ecosystem, the e-learning offer of
INNO-4-AGRIFOOD.

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

**Dataset description**

</td>  
<td>

The dataset generated encompasses the feedback as well as the innovative
concepts and ideas provided by participants of the INNO-4-AGRIFOOD Co-creation
Workshop during the structured activities of the co-creative session dedicated
to the e-learning offer of the project. The data is mostly textual (short
sentences) and refer to (i) the appropriateness of the e-learning material
developed at the time of the workshop and (ii) supplementary ideas for
consideration in the process of developing the e-learning material of the
project.

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

**Methodologies for data collection / generation**

</td>  
<td>

In addition to the minutes recorded throughout the co-creation workshop, the
participants’ input from the group discussions were tabulated for each of the
draft e-learning modules (which were provided as background information) using
preprepared templates. Comments of relevant consortium members on each module
were added remotely after the event. Conclusions were then drawn on the
content and weighting of elements within each module.

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

**Format and volume of the dataset**

</td>  
<td>

The data collected have been integrated within the report on the  _Outcomes of
the_ _INNO-4-AGRIFOOD Co-creation Workshop: Curriculum concept and key
training_ _topics_ .  The report is stored in .pdf format and its size reaches
approximately

1.11MB.

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

**Metadata and**

**standards**

</td>  
<td>

The report in which the dataset has been integrated includes meaningful
information with respect to the context in which the data have been collected
as well as the methodology for collecting them. Descriptive metadata,
including the title and type of file has been created to accompany the report.

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

**For whom might the dataset be useful?**

</td>  
<td>

Innovation support service designers and providers as well as relevant
trainers and educators would find the dataset most useful, especially those
who operate within the agri-food sector or are interested to do so.

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

**Confidentiality**

</td>  
<td>

The results of the analysis have been openly shared through the public report
on the  _Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop: Curriculum_
_concept and key training topics_ ,  which is available free of charge at the
INNO-4AGRIFOOD web portal.

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

##  Case-based training material supplemented by theoretical information on
the topic  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Case-based training material supplemented by theoretical information on the
topic.

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

**Type of study**

</td>  
<td>

Development of educative case studies based on the services provided in the
framework of INNO-4-AGRIFOOD blended with theoretical training building upon
existing material available to partners either from previous work or from open
sources.

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

**Dataset description**

</td>  
<td>

The data collected includes simple responses (plain text in English) provided
in the frame of interviews.

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

**Methodologies for data collection / generation**

</td>  
<td>

Data required for the development of the case studies has been collected with
the help of semi-structured questionnaires administered during interviews by
project partners. Additional data has been gathered from the existing
knowledge base of project partners (e.g. previous project documentations,
previous service provision documentations, etc.) and/or from OER repositories
as well as other third-party secondary data sources.

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

**Format and volume of the dataset**

</td>  
<td>

Data collected during the interviews conducted in the framework of case study
development has been stored as video files (.mp4) with a total size of 1.8 GB.
And .pptx files with a size of 30 MB, containing basic information about the
companies that received the I4A services. The scripts of the case studies
stemming from the interviews have been preserved in a .xlsx file of a total
volume of 1 MB.

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

**Metadata and**

**standards**

</td>  
<td>

All e-learning material developed based on the case studies are SCORM
compliant to enable its packaging and facilitate the re-use of the learning
objects. The Articulate software, which has been used to create the e-learning
material of the project, has generated the Content Aggregation Metadata File
required.

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset would be quite useful for innovation intermediaries and
consultants as well as educators who would use this case-based e-learning
material in their own activities.

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

**Confidentiality**

</td>  
<td>

The e-learning material is currently openly available to all interested
stakeholders through the web portal of the  _INNO-4-AGRIFOOD_ ,  protected
with Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
International Public License (CC BY-NC-ND 4.0). By doing so, the e-learning
content can be freely used by any interested stakeholder only for non-
commercial purposes while alteration, transformation and/or build-upon this
material is not allowed.

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

##  Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop – Services and tools  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop – Services and tools.

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

**Type of study**

</td>  
<td>

The INNO-4-AGRIFOOD Co-creation Workshop, which was held on the 15  th  of
September 2017 at Amsterdam, the Netherlands with a view to co-creating
innovative ideas and designs for the innovation support services and smart
tools of the project, building upon the valuable contribution of diverse agri-
food stakeholders.

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

**Dataset description**

</td>  
<td>

The data includes innovative concepts and ideas provided by the participants
of the workshop’s co-creative session that focused on the innovation support
services and smart tools of INNO-4-AGRIFOOD.

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

**Methodologies for data collection / generation**

</td>  
<td>

The data were collected during the INNO-4-AGRIFOOD Co-creation Workshop and
documented as transcript notes.

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

**Format and volume of the dataset**

</td>  
<td>

The data have been integrated into the report on the  _Outcomes of the
INNO-4AGRIFOOD Co-creation Workshop: Innovation support services and ICT
tools_ ,  which is stored in .pdf format. The size of the file is 5.53MB.

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

**Metadata and**

**standards**

</td>  
<td>

The report in which the data have been incorporated provides insights into the
objectives and methodology of the INNO-4-AGRIFOOD Co-Creation Workshop,
elaborates on the outcomes of its session on the services and tools and
translates the aforementioned outcomes into meaningful conclusions and key
potential characteristics for innovation support services and tools. Basic
descriptive metadata are provided along with the report (i.e. title and type
of file).

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset has contributed significantly in developing the services, smart
tools and e-learning modules of the project in line with the needs and
preferences of agrifood stakeholders in the context of INNO-4-AGRIFOOD. Beyond
the context of the project, innovation support service designers and providers
as well as ICT application developers and training providers could potentially
find the dataset and its accompanying report useful.

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

**Confidentiality**

</td>  
<td>

The report on the  _Outcomes of the INNO-4-AGRIFOOD Co-creation Workshop:_
_Innovation support services and ICT tools_ ,  which includes the dataset, is
published on the web portal of the project. The report has been published
incorporating only anonymised and aggregated data.

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

##  Pool of agri-food SMEs  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Pool of agri-food SMEs.

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

**Type of study**

</td>  
<td>

Deployment of INNO-4-AGRIFOOD services and tools in real-life contexts.

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

**Dataset description**

</td>  
<td>

The dataset consists of 2 separate lists of agri-food SMEs which may have been
interested in benefiting from the innovation support services of the project
in the framework of its 3 iterative testing, validation and fine-tuning
rounds. The 1  st  list includes SMEs which are either clients or among the
professional network of INNO4-AGRIFOOD consortium partners, and to which
services may be delivered by these partners. The 2  nd  list includes SMEs who
have been identified through other channels (e.g. through the
INNO-4-AGRIFOOD’s Beneficiaries and Advisory Boards, the online contact form
of the project’s web portal, etc.), and to which services may have been
delivered by external innovation consultants.

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

**Methodologies for data collection / generation**

</td>  
<td>

In addition to the professional networks of INNO-4-AGRIFOOD (1  st  list of
the dataset), several sources have been employed to identify suitable SMEs to
participate in the real-life deployment of the novel services and tools of the
project, including (among others) networks and member organisations of
INNO-4AGRIFOOD’s Advisory and Beneficiaries Boards as well as interested SMEs
which participated in the surveys launched in the context of the project or
expressed their interest through the online contact form of its web portal (2
nd  list of the dataset).

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

**Format and volume of the dataset**

</td>  
<td>

A spreadsheet (in .xlsx format) with two separate tabs (each for one of the
two lists described above) has been used to store the Pool of agri-food SMEs,
which, contains 198 records reaching a volume of 19 KB. In fact, the complete
dataset contains the following data for each recorded SME: (1) for the first
list of SMEs: i) Name of the SME; (ii) Contact person (name and surname); (ii)
Country, (iv) sector; 2) for the second list of SMEs: (i) SME name/ name &
surname of the person, (ii) country. In the case of the 1  st  list,
information about the INNO-4-AGRIFOOD consortium partner connected to a
recorded SME has been included.

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

**Metadata and**

**standards**

</td>  
<td>

Descriptive and structural metadata has been created and provided along with
the dataset.

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset would be most useful for consortium partners during the real-life
deployment activities of the project.

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

**Confidentiality**

</td>  
<td>

The dataset is stored at the private server of the Coordinator (Q-PLAN) and
will be preserved for at least 5 years following the end of the project,
before eventually being deleted. Copies of the dataset are available only to
relevant INNO-4AGRIFOOD consortium partners and will not be disclosed or used
for purposes outside the framework of the project, unless otherwise allowed by
the external stakeholder that has provided the respective data.

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

##  Roster of specialists database  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Roster of specialists database.

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

**Type of study**

</td>  
<td>

Involvement of trained staff of innovation intermediaries and SME support
networks in the deployment of INNO-4-AGRIFOOD services and tools in real-life
contexts.

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

**Dataset description**

</td>  
<td>

Pool of appropriately qualified SME consultants who participated in the
testing of project’s services and tools by providing them to agri-food SMEs.
The Roster of Specialists Database (RSD) encompasses valuable information
about the recorded consultants, such as demographics and contact details of
themselves and their affiliated organisations, data about their progress
towards completing the project’s e-learning offer and providing its services
as well as miscellaneous data that helped INNO-4-AGRIFOOD consortium members
to better match them with appropriate agri-food SMEs to service.

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

**Methodologies for data collection / generation**

</td>  
<td>

The RSD has been populated with consultants who have successfully completed
the INNO-4-AGRIFOOD e-learning courses addressing the project’s services,
participated in the project’s 1  st  webinar and/or have been personally
trained by a designated INNO-4-AGRIFOOD Coach. The database has been enriched
as the reallife deployment activities of INNO-4-AGRIFOOD progress and the
staff of innovation intermediaries and SME support networks gained experience
in the project’s services and e-learning modules.

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

**Format and volume of the dataset**

</td>  
<td>

The Roster of Specialists Database is stored in a standard spreadsheet format
and comprises of 55 records of SME consultants across the EU. Moreover, the
dataset file has a volume of 160 KB.

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

**Metadata and**

**standards**

</td>  
<td>

Descriptive and structural metadata have been created to accompany the dataset
so as to increase its discoverability among the interested stakeholders.

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

**For whom might the dataset be useful?**

</td>  
<td>

Agri-food SMEs who would like to receive support from innovation consultants
specialised in supporting online collaboration for innovation.

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

**Confidentiality**

</td>  
<td>

Records of the dataset remained for internal use only during the lifecycle of
the project. With that in mind, only a copy of the dataset is hosted in the
Coordinator’s (Q-PLAN) private server and will be preserved for at least 5
years following the completion of the project, before eventually being
deleted.

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

##  Service testing metrics  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Service testing metrics.

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

**Type of study**

</td>  
<td>

Testing, validation and fine-tuning of the INNO-4-AGRIFOOD services and smart
tools.

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

**Dataset description**

</td>  
<td>

The dataset includes data collected during the iterative testing, validation
and finetuning of the INNO-4-AGRIFOOD services and smart tools, aimed at
managing ambiguity during the various iterations as well as measuring the
impact of improvements after each iteration. In particular, it contains both
qualitative and quantitative data on (i) the satisfaction of SMEs that
received INNO-4-AGRIFOOD services, (ii) the satisfaction of SMEs and
innovation consultants that have used the INNO-4-AGRIFOOD smart tools, (iii)
the impact of the INNO-4-AGRIFOOD services on the business of the SMEs that
received them, (iv) the activities performed in the framework of each
INNO-4-AGRIFOOD service provided in the context of the project, and (v)
different aspects of the services and smart tools that can be further
streamlined according to users’ needs and expectations.

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

**Methodologies for data collection / generation**

</td>  
<td>

In line with the  _INNO-4-AGRIFOOD Metrics Model_ ,  this dataset has been
fuelled by the respective surveys that run over the 3 real-life deployment
rounds of the project’s services and smart tools as well as by the service
stories that were produced under this framework. All surveys employed
questionnaire-based tools aiming at mining both qualitative and quantitative
data from agri-food SMEs and innovation consultants.

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

**Format and volume of the dataset**

</td>  
<td>

The dataset is stored in a typical spreadsheet format, that is .xlsx. The
volume of the dataset’s final version is 250 KB.

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

**Metadata and**

**standards**

</td>  
<td>

Descriptive metadata has been attached to the dataset (such as title,
abstract, author, type of data, data collection method and keywords).

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

**For whom might the dataset be useful?**

</td>  
<td>

Innovation support service designers and providers may find use in this
dataset.

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

**Confidentiality**

</td>  
<td>

All records are openly available to all interested stakeholders through the
data repository of Zenodo and incorporates only anonymized data so as to
ensure data providers’ confidentiality. The dataset is also protected with a
CC BY-NC-ND 4.0 licence.

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

##  User data and learning curve of e-learning participants  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

User data and learning curve of e-learning participants.

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

**Type of study**

</td>  
<td>

Provision of e-training courses to staff of innovation intermediaries and SME
support networks.

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

**Dataset description**

</td>  
<td>

The dataset contains demographic data of the people who have registered to the
e-learning platform of INNO-4-AGRIFOOD and their affiliated organisations
along with data reflecting their e-learning progress.

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

**Methodologies for data collection / generation**

</td>  
<td>

Data has been provided voluntarily by the individuals who registered to the
INNO4-AGRIFOOD e-learning platform through a dedicated online form which aimed
at creating the profile necessary for their registration. Moreover, the
e-learning platform automatically collected all necessary data about the
online activities of the participants who accessed the system via a unique
username-password combination.

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

**Format and volume of the dataset**

</td>  
<td>

MySQL database stores the table definitions in . _frm_ files while the data is
stored in . _idb_ files in case of InnoDB tables. The data is exported to
standard spreadsheet format (.csv or other). 613 registered participants have
been recorded within the dataset resulting in a file of 1MB.

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

**Metadata and**

**standards**

</td>  
<td>

The dataset is not intended for sharing and re-use and thus the dataset is not
accompanied with metadata.

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset has been used by selected INNO-4-AGRIFOOD consortium members for
analysing the learning behaviour of the e-learning participants in the frame
of the project.

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

**Confidentiality**

</td>  
<td>

The data of e-learning participants is confidential and used only in the
context of the project. With that in mind, the dataset is currently stored in
Europa Media as the responsible party for the e-learning platform and will be
preserved for at least 5 years following the completion of the project, before
eventually being deleted. The information stored is in accordance with the
GDPR regulation. Moreover, the administrators of the e-learning platform have
access to the data provided by elearning participants 5 years after the
project ends, apart from their password information (which will be known only
to the e-learning participants themselves). E-learning participants could have
configured their profile indicating the open data they would have liked to
share. Still, the data of the participants’ learning curve (e.g. statistics on
accessing the e-learning, following existing material, concluding tests, etc.)
are accessible only to the administrators of the e-learning platform as well.
Any meaningful analysis or conclusions drawn from these data has been shared
in relevant upcoming reports that will be produced by the project.

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

##  Feedback derived from e-learning participants  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Feedback derived from e-learning participants.

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

**Type of study**

</td>  
<td>

Testing, validation and fine-tuning of the e-learning environment.

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

**Dataset description**

</td>  
<td>

The dataset includes feedback on technical and content-wise aspects of the
elearning environment of INNO-4-AGRIFOOD (including the e-learning platform as
well as its constituent e-learning modules), gathered from e-learning
participants with a view to evaluating its functionalities, graphics and
content.

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

**Methodologies for data collection / generation**

</td>  
<td>

Data has been provided voluntarily by e-learning participants of
INNO-4-AGRIFOOD via dedicated questionnaire-based feedback forms. The
questionnaires utilised by the feedback forms employed the Likert scale (1 -
Strongly Disagree to 5 - Strongly Agree) so that participants can quickly
provide their opinion on the functionalities and content of the different
e-learning modules as well as the platform as a whole.

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

**Format and volume of the dataset**

</td>  
<td>

MySQL database stores the table definitions in .frm files while the data is
stored in .idb files in case of InnoDB tables. The data is exported to
standard spreadsheet format (.csv or other). 613 registered participants have
been recorded within the dataset resulting in a file of 1MB.

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

**Metadata and**

**standards**

</td>  
<td>

As the dataset is closed (available only to Europa Media) no metadata has been
created to accompany the dataset.

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset has been used by selected INNO-4-AGRIFOOD consortium members to
analyse user experience on the e-learning environment and thus provide the
basis for further improvement in the future iterations in the context of the
project.

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

**Confidentiality**

</td>  
<td>

In order to ensure the privacy of the participants who provided their
feedback, the records of the database have remained confidential. With that in
mind, the dataset is currently stored within Europa Media’s private server and
will be preserved for at least 5 years following the completion of the
project, before eventually being deleted. Only the administrators of the
e-learning platform can access copies of the feedback provided.

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

##  Awareness creation, dissemination and stakeholder engagement  
  
<table>  
<tr>  
<th>

**Dataset name**

</th>  
<th>

Awareness creation, dissemination and stakeholder engagement.

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

**Type of study**

</td>  
<td>

Assessment of the results and impact of the awareness creation, dissemination
and stakeholder engagement activities of the project employing an indicator-
based framework.

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

**Dataset description**

</td>  
<td>

Data collected during INNO-4-AGRIFOOD with a view to measuring and assessing
the performance and results of the project in terms of awareness creation,
dissemination, stakeholder engagement.

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

**Methodologies for data collection / generation**

</td>  
<td>

Primary data has been collected through the dissemination activity reports of
project partners regarding media products, events, external events, general
publicity, etc. Third party tools have been employed as well (e.g. Google
analytics, social media statistics, etc.).

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

**Format and volume of the dataset**

</td>  
<td>

The collected data are preserved in a spreadsheet format (.xlsx). The total
size of the file is 21 KB.

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

**Metadata and**

**standards**

</td>  
<td>

Descriptive metadata has been created and attached to the dataset (such as
title, type of data, data collection method and keywords).

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

**For whom might the dataset be useful?**

</td>  
<td>

The dataset would be meaningful to the European Commission as well as
researchers who study relevant aspects of EU-funded projects.

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

**Confidentiality**

</td>  
<td>

All records are openly available to all interested stakeholders through the
data repository of Zenodo and incorporates only anonymized and aggregated data
so as to ensure data providers’ confidentiality. The dataset has been
published under the CC BY-NC-ND 4.0 licence so as to ensure its widest re-use.

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