##  Introduction

This deliverable (D1.4) is the third and final version of the Data Management
Plan (DMP) for the GATES project.

GATES is a HORIZON 2020 beneficiary project for the “H2020-ICT-2016-2017”
call; therefore, the updated DMP is submitted through this deliverable,
followed by the final review DMP at month 30\.

###  What is a DMP

Data Management Plan (or DMP in short), is an official document that defines
the research data life cycle within the project. The data life cycle is a
collection of the steps that data must go through to ensure proper management
and reusability of the collected and/or generated data. Though it may slightly
differ between projects based on the nature of the data. The foundation of
every data lifecycle is depicted in Figure 1 and includes the following steps:
1) creating data, 2) processing data, 3) analyzing data, 4) preserving data,
5) giving access to data and 6) re-using data.

**The purpose of the Data Management Plan** is to assess and define up front
all of the aspects of data management, metadata creation, analyzation and
storage, and to ensure proper and sound management of the research data that
will be collected, processed and generated within the GATES project.

###  Objectives of the initial DMP

The current deliverable has on purpose to ensure proper and sound management
of the research data that will be collected, processed and generated within
GATES. The concrete objectives of the document are to (a) detail the handling
of research data during and after the project, (b) describe the methodology
and standards required, (c) identify whether and how data will be shared,
exploited or made accessible for verification, and re-used, and (d) identify
how they will be curated and preserved.

###  DMP is constantly evolving

DMP is not an “isolated” deliverable. It begins at day one of the project and
aims at defining all of the data management details, but it constantly evolves
and gains precision and substance throughout the lifespan of the project.

##  Methodology

The European commission has issued a document called “ _Guidelines on FAIR
Data Management in Horizon_

_2020_ ”  1  . This document serves as a guideline to assist the HORIZON 2020
beneficiaries on the creation of the DMP and introduces the FAIR principle.
According to the aforementioned document, “ _Horizon 2020 beneficiaries should
make their research data**F** indable, **A** ccessible, **I** nteroperable and
**R** eusable (FAIR), to ensure it is soundly managed _ ”. Additionally, the
document provides its reader with a DMP template in ANNEX 1, outlining all the
sections that a HORIZON DMP deliverable must contain along with aid in the
form of questions to be answered for each section.

Furthermore, EU has published an “Open access & Data management”  2  guideline
to “explain the rules on open access to scientific peer reviewed publications
and research data that beneficiaries have to follow in projects funded or co-
funded under Horizon 2020”. OpenAire  3  , has issued a similar document
called “Briefing Paper Research Data Management”  4  , in which it
demonstrates the need for a DMP and how to draft one. Furthermore, OpenAire,
in cooperation with EUDAT  5  , has conducted webinars on the subject and has
publicly posted them online  6  .

GATES consortium, after careful consideration of the previously mentioned
material, drafted this DMP document, using the template provided by the
European Commission and the knowledge extracted from the other sources. Each
of the following sections represent a specific dataset of the GATES project.

##  Dataset No 1: Project Management derived data

###  Data Summary

The purpose of this dataset (data collection) is to document all of the data
produced during the Project Management Activities from the consortium of the
GATES project. During the lifespan of the project, many data types were
produced and to maintain data availability and safety the consortium created a
folder in a dedicated server, where all members have access.

**Presentations:** Several PowerPoint presentations have been created (project
meeting presentations etc) during the projects lifespan. The purpose of these
presentations vary depending on whether it’s a dissemination material
responsible of promoting GATES or if it’s part of a deliverable. These files
were created by the project member responsible of each deliverable and sent to
the coordinator in the form of .pptx files, using Microsoft PowerPoint
software. The overall size of the presentations is approximately _964Mb_ .

Besides the presentations of the partners, several data were stored in the
projects private server. The following table presents the folder structure of
the projects private area along with a minor description of what is contained
in each one:  
  
<table>  
<tr>  
<th>

**Folder name**

</th>  
<th>

**Data description**

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

**Deliverables**

</td>  
<td>

This folder contains all of the deliverables of the GATES project as they were
submitted in the EU portal. Each deliverable is placed on a folder named after
the Work Package it corresponds to.

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

**Dissemination**

</td>  
<td>

In this folder, all of the material that was used to disseminate the project
is saved in folders with the name of the event it was used in.

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

**DMP**

</td>  
<td>

Folder that contains the data for each dataset as described in the Data
Management Plan document.

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

**GA**

</td>  
<td>

The Grant Agreement in pdf format for reference

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

**Meetings**

</td>  
<td>

The presentations for each meeting is stored in this folder.

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

**WP6 Communication**

</td>  
<td>

Material that was created under Work Package 6 and will be used for the
dissemination activities of the project.

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

**Other docs**

</td>  
<td>

Helper folder to store generic data relevant to the project.

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

**Table 1: GATES private foler structure**

**Deliverables:** The Project Management dataset produced four (4)
deliverables:

  1. **D1.1 Project Management Handbook:** to present the main aspects related to GATES management summarizing the organizational structure, operating procedures and management tools of the project. 

  

  2. **D1.2 Data Management Plan & Support Pack: ** specify how data will be collected, processed, monitored, catalogued, and disseminated during the project’s lifetime. 

  

  3. **D1.3 Project Interim Report:** To document the progress of the project mid-term **4\. D1.4 Project Final report:** a summary of GATES project activities and work. 

  

  

The responsible partner of each deliverable documented it and delivered it to
the consortium in the form of a word document(.docx) for review before the
submission to the EU portal, whereas, the final version will be saved as a PDF
document(.pdf) and stored in the projects private server repository. The
expected size of each deliverable was around 4-5Mb

No existing data was used or reused for neither of the previously mentioned
data. On the contrary, new data were created during the lifespan of the GATES
project. Furthermore, these data were useful mostly between the project
partners as a reference tool.

###  Fair Data

####  Making data findable, including provisions for metadata

The use of metadata for the project management dataset was not necessary,
mainly because most of this dataset is confidential and will not be made
findable. Additionally, no versioning is required since the data will be in
pdf format and will not be able to change in the future.

The deliverables which were openly available are publicly hosted in the web
portal, so any interested party will be able to access them via the
navigational menu and the search bar by querying the name of the deliverable
(i.e. data management plan). The naming convention of the data was decided to
be:

  * GATES - Data Management Plan deliverable.pdf 

  

  * GATES - Interim Report deliverable.pdf 

  

  * GATES - Final Report deliverable.pdf 

  

####  Making data openly accessible

The data in this collection, except for the three aforementioned deliverables,
will not be openly available as they are confidential as a part of the inner-
processes of the project and only accessible through the members of the
consortium. They will be stored in a folder on the projects private server,
which is shared only with the partners of the project.

All of the deliverables (public or confidential), are available in a pdf file
format, which can be opened with the use of the “Adobe Acrobat Reader”
software (free). The deliverables will be openly accessible without any
restrictions.

All of the public deliverables have been uploaded to the projects’ portal and
can be accessed via  _http://www.gates-game.eu/en/project/results_

####  Making data interoperable

Not applicable for this particular dataset.

Increase data re-use (through clarifying licenses):

As identified in the previous sections, most of this dataset will not be
openly accessible, so in extend, there can be no data re-use for it. For the
deliverables that are openly accessible (D1.2, D1.3, D1.4), the “ODC Public
Domain Dedication and Licence” will be used to allow potential parties to
freely use them. The quality of the data will be assured by the consortium and
will be made available from the moment they are uploaded in the web portal (
_www.gates-game.eu_ )  for as long as the website is up and running.

###  Allocation of resources

All of the costs regarding the project management activities have been
estimated and included in the budget of the project in the form of person
months for Work Package 1.

###  Data Security

All of the documents derived by this dataset is stored in GATES private server
and shared with the members of the consortium. The pdf files of the three
public deliverables are also hosted in the server of the web portal, following
the security protocols of the hosting service. The private server performs
periodical backups to a secure external location to ensure data recovery.

**Ethical Aspects**

Not applicable.

**Other**

Not applicable.

##  Dataset No 2: User requirements data

###  Data summary

The purpose of this dataset is to identify the strengths and weaknesses of the
customer segments and end-users together with their requirements and
expectations. The requirements will be used for establishing the template to
gather data flow information, the definition of the process model and the
definition of the learning strategies based on customers and end-users’ needs.

To that end, the partner from Serbia (InoSens), designed a questionnaire which
was answered from farmers (InoSens, Serbia), agricultural students (AUA,
Greece), smart farming technologies specialists (ANSEMAT, Spain) and company
representatives (ANSEMAT, Spain). The completion of these questionnaires
provided the consortium with data regarding: demographic information, general
information, behavioral requirements (functional) and development quality
attributes (non-functional).

This dataset consists of a Microsoft Word document (.docx) that is the
questionnaire that was used and is approximately ~33Kb and a Microsoft Excel
document (.xlsx) which is the result of the processing of the survey input.
Furthermore, from this dataset a user requirements deliverable is created
(D2.1), presenting the information that was extracted.

Finally, this dataset will be extremely useful first of all to the consortium
itself for designing GATES as effective as possible and then for researchers
that require data on the end-user needs in an educational game. No existing
data will be used or reused.

###  FAIR Data

####  Making data findable, including provisions for metadata

The complete dataset is hosted in the private server of the system and shared
between the members of the consortium. The results of the analysis (in form of
document) will be hosted in the server of the web portal to be made publicly
available for users to download upon EU approval. No metadata was created,
since this dataset is not to be altered in the future, thus, no versioning is
required. The users will be able to locate the desired document using the
navigational menu of the web portal and by querying with the keyword “user
requirements” in the search bar.

Finally, the following naming convention is used for this dataset:

  * GATES_WP2.1_User_requirements_deliverable.pdf 

  

  * GATES_WP2.1_Questionnaire_results.xlsx 

  

####  Making data openly accessible

The deliverable along with the template of the questionnaire is openly
available via GATES web portal without any restrictions on the access. The
questionnaire results file containing the responses of the participants will
be kept private as it contains confidential information, but the insight
extracted by the analyzation of those answers will be part of the deliverable
and publicly available.

The deliverable is a pdf file which can be accessed via the Adobe Acrobat
Reader (Free).

The user requirements deliverable has been uploaded to the SyGMa platform and
labeled as **approved** , so it publicly available in the projects portal. The
questionnaire of the user requirements analysis survey is incorporated into
the deliverable under the Annex 1 section; where the questionnaire results
excel file is stored on the projects’ private folder and flagged as private.

Making data interoperable The deliverable file will be “as is” in a pdf format
and can only be used as a reference, whereas the template of the questionnaire
will be in a Word document format which is the most commonly used text format
and also allows the user to export it in multiple formats and further process
it.

Increase data re-use (through clarifying licenses):

This insight extracted by the analyzation will be openly available in the
website of the system and with no restriction for anyone to use according to
his needs based on the PDDL licence. The data will be made available for re-
use from the moment it is uploaded in the web portal and will remain reusable
for as long as the website is up and running. The quality of the data is
assured by the GATES team through validation tests on the inputs.

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP2.

###  DATA SECURITY

Since the deliverable document is openly available in the web portal no extra
security measurements are needed. The data will also be stored in the projects
private server for safekeeping and periodical backups to external server will
ensure data recovery in any case of server failure.

###  ETHICAL ASPECTS

The data in the questionnaire results excel file fall into the ethical aspect
area. The original questionnaire results contain personal information of the
participant and cannot be made public. To maintain the anonymity and privacy
of the respondents, the questionnaire results excel file will be private in
the server and restricted even among the partners. The coordinator (AUA) is
responsible of maintaining the anonymity and distribute the file in the
interested partners with caution.

**OTHER**

Not applicable

##  Dataset No 3: Material Collection Data

###  Data Summary

The purpose of this dataset is the development of the content that will be
used for teaching and improving learner’s SFT skills. This internal material
database will be used to support management and monitoring of all the
collected materials during the project implementation phase.

The sources of the collected material were the _World Wide Web_ , digital and
printed material which was digitized. During the lifespan of the project 172
files have been created for numerous sources containing vital information that
later was used to feed the Library module of GATES. The size of this dataset
is approximately _390Mb_ and is currently hosted in the projects private
server only accessible by the members of the consortium.

This dataset will serve a vital role in the development of GATES, providing
the educational content for the developers to incorporate into the game.

###  FAIR DATA

####  Making data findable, including provisions for metadata

The material collection dataset is placed in the project private server and
shared with the consortium members _only_ . This dataset is confidential as
GATES is a commercial project, thus, no procedures to make it findable will be
conducted. This dataset is accompanied with metadata, allowing the detection
of outdated material. The metadata information are:  
  
<table>  
<tr>  
<th>

**Creator**

</th>  
<th>

The consortium partner responsible of the creation

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

**Title**

</td>  
<td>

The label of this dataset

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

**Resource type**

</td>  
<td>

The format of the dataset

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

**Date**

</td>  
<td>

The date this dataset was collected

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

Making data openly accessible

Not applicable. (Confidential Data)

Making data interoperable

Not applicable. (Confidential Data)

Increase data re-use (through clarifying licenses)

Not applicable. (Confidential Data)

**ALLOCATION OF RESOURCES**

Not applicable. (Confidential Data)

**DATA SECURITY**

The data will be stored in the projects private server following its security
and backup protocols.

**ETHICAL ASPECTS**

Not applicable. (Confidential Data)

**OTHER**

Not applicable. (Confidential Data)

##  Dataset No 4: Current Smart Farming Technologies (SFT) data

###  Data summary

The purpose of this dataset is to assist/enable the creation of the algorithms
and models for developing the main game mechanics of GATES related to the
simulation of the agricultural environment and the environmental and economic
benefits of using SFT. The source of this dataset was the outcome of an
investigation on the current SFT (machinery, actuators, sensors, services,
methodologies) in terms of yield, power consumption and CO2 emissions. The
“Material Data Collection” dataset (No 2) will be re-used by the consortium
for the investigation.

This generated data exist in the following formats:

  * C# code git repository containing all of the agricultural algorithms 

  

  * A Microsoft Excel document (.xlsx), listing the current SFT machinery with its average market price and benefits in terms of fuel reduction, efficiency and quality. 

  

  * An Adobe Reader PDF file (.pdf), deliverable 2.2, where the material collected in Task 2.2 (Material collection, classification and evaluation) was converted to algorithms and was modelled and documented for developing the main game mechanics of GATES. 

  

The git repository containing the algorithms is hosted in the private server
of the _Mad About Pandas_ and strictly accessible only by their developers and
the _AUA_ developers that assist on the algorithm creation.

The SFT list excel file, is hosted in the projects private folder and at the
moment this deliverable is written is approximately 13Kb. It is not yet
finalized as it only contains the SFTs that are supported in the current
version of the game (MVG2) and it is constantly updated with new data as the
game development evolves. The following table shows the data structure of the
excel file:  
  
<table>  
<tr>  
<th>

**Parameter**

</th>  
<th>

**Input**

</th>  
<th>

**Unit**

</th>  
<th>

**Description**

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

**Name/ID**

</td>  
<td>

</td>  
<td>

txt

</td>  
<td>

Unique name to identify SFT.

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

**Type**

</td>  
<td>

</td>  
<td>

List

(Sensor

Machinery

Service)

</td>  
<td>

Type of machine.

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

**Area**

</td>  
<td>

</td>  
<td>

List

(Tillage,

Seeding, Irrigation etc.)

</td>  
<td>

Agricultural operation the SFT is used in

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

**Crop**

</th>  
<th>

</th>  
<th>

List of available crop

</th>  
<th>

Crop(s) that the SFT applies

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

**Short**

**Description**

</td>  
<td>

</td>  
<td>

txt

</td>  
<td>

Short in-game description that explains what the SFT does. Will be displayed
in the shop.

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

**Long**

**Description**

</td>  
<td>

</td>  
<td>

txt

</td>  
<td>

Extended in-game description that explains the technology behind the SFT.

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

**Info-Link**

</td>  
<td>

</td>  
<td>

hyperlink

</td>  
<td>

Link to GATES library with additional information about the SFT.

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

**Soil Moisture**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

The amount of additional precision in determining the soil moisture

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

**Soil Nutrition**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

The amount of additional precision in determining the required amount of
fertilizer.

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

**Crop Infection**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

The amount of additional precision in determining the crop inflection

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

**Crop Ripeness**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

The amount of additional precision in determining the optimal time for
harvesting

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

**Weather Forecast**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

The additional precision in forecasting weather.

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

**Yield Increase**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in yield by using the SFT compared to conventional farming.

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

**Labour**

**Reduction**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Decrease in labour by using the SFT compared to conventional farming.

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

**Fuel**

**Consumption**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Effect on fuel consumption from using the SFT compared to conventional
farming.

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

**GHG reduction**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Reduction of GHG emissions from using the SFT compared to conventional
farming.

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

**Fertilization Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Fertilization Efficiency by using the SFT compared to conventional
farming.

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

**Seeding**

**Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Seeding Efficiency by using the SFT compared to conventional
farming.

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

**Tillage**

**Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Tillage Efficiency by using the SFT compared to conventional
farming.

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

**Irrigation Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Irrigation Efficiency by using the SFT compared to conventional
farming.

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

**Spraying Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Spraying Efficiency by using the SFT compared to conventional
farming.

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

**Harvesting Efficiency**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Increase in Harvesting Efficiency by using the SFT compared to conventional
farming.

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

**Initial Price**

</td>  
<td>

</td>  
<td>

€

</td>  
<td>

Initial price that needs to be paid to acquire the SFT.

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

**Yearly fee Payments**

</td>  
<td>

</td>  
<td>

€/year

</td>  
<td>

Yearly costs for using the SFT. Includes subscription fees for services,
insurance, maintenance etc.

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

**Training cost**

</td>  
<td>

</td>  
<td>

€/day

</td>  
<td>

Cost for training per day

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

**Depreciation**

</td>  
<td>

</td>  
<td>

years

</td>  
<td>

Reduction of value over year

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

**Task Cost Impact**

</td>  
<td>

</td>  
<td>

€/Use

</td>  
<td>

The financial impact on the task. Might be a positive value (increasing costs)
or a negative value (reducing costs)

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

**Scale**

</td>  
<td>

</td>  
<td>

ha

</td>  
<td>

Number of ha the SFT can operate on in a cropping season

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

**Start Age**

</td>  
<td>

</td>  
<td>

years

</td>  
<td>

The age of SFT at the time it is purchased. (Used SFTs only)

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

**Deterioration**

</td>  
<td>

</td>  
<td>

formula

</td>  
<td>

The reduction in efficiency by the SFT based on age.

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

**Lifetime**

</td>  
<td>

</td>  
<td>

years

</td>  
<td>

The economic life of a machine

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

**Complexity**

</td>  
<td>

</td>  
<td>

%

</td>  
<td>

Initial efficiency for using the SFT. Depends on how complex the SFT is and
can be improved over time.

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

**Requires SFT**

</td>  
<td>

</td>  
<td>

tags

</td>  
<td>

List of Tags associated with SFTs _one_ of which is required to use this SFT.

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

**Exclusive**

**Effects with**

**SFTs**

</td>  
<td>

</td>  
<td>

tags

</td>  
<td>

List of Tags associated with SFTs that don't have cumulative effects with this
SFT.

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

**Tags**

</td>  
<td>

</td>  
<td>

tags

</td>  
<td>

List of Tags associated with this SFT to be used for functional decencies with
other SFTs.

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

**Tabla 1: SFT Data information**

The deliverable is 2.2 is a PDF file of approximately 3.43Mb and is stored in
the projects private server in order to be accessible by the members of the
consortium.

To conclude, the contents of this dataset is used internally from the
consortium members to design and develop the game mechanics. All of the data
is confidential and shared strictly only among the partners.

###  FAIR DATA

####  Making data findable, including provisions for metadata

This dataset is placed in the project private server and shared with the
consortium members only. It is confidential because GATES is a commercial
project and this dataset is part of the inner-process, thus, no procedures to
make it publicly findable were of will be conducted. This dataset is
accompanied with metadata, allowing the detection of outdated material. The
metadata information will be:  
  
<table>  
<tr>  
<th>

**Creator**

</th>  
<th>

The consortium partner responsible of the creation

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

**Title**

</td>  
<td>

The label of this dataset

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

**Resource type**

</td>  
<td>

The format of the dataset

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

**Date**

</td>  
<td>

The date this dataset was collected

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

The consortium has decided on the following naming conventions per file: 
GATES – SFT Market.xlsx

 GATES – Modelling and simulation algorithms deliverable.pdf

####  Making data openly accessible

All of the data in this dataset is not openly available as they are
confidential as part of the inner-processes of the project and only accessible
through the members of the consortium. They are stored in a folder on the
projects private server, which is shared only with the consortium partners to
limit accessibility.

Making data interoperable

Not applicable. (Confidential Data)

Increase data re-use (through clarifying licenses)

Not applicable. (Confidential Data)

**ALLOCATION OF RESOURCES**

Not applicable. (Confidential Data)

**DATA SECURITY**

The data will be stored in the projects private server following its security
and backup protocols.

**ETHICAL ASPECTS**

Not applicable. (Confidential Data)

**OTHER**

Not applicable. (Confidential Data)

##  Dataset No 5: Educational Content Data (Library Module)

###  Data Summary

The purpose of this dataset is the development and collection of the data that
will be used to teach SFT skills in an effective way and provide more
engagement for the trainees/learners. Specifically, this dataset along with
the storyboarding (Task 3.2) will be the foundation of the Library Module of
GATES, responsible of educating the players on the SFT and assist them on the
objectives of the game.

To create this dataset, the SFT data collection (Dataset No 3) was re-used and
the following file formats have been produced in the scope of the project:

  * **Online PDF Documents** : Manuals of the SFT machinery, flyers, presentations and other education material that was collected and/or created which are available in PDF format. 

  

  * **Videos** : Tutorials, instructions and other video material are available in .mp4 format to download. Videos are also uploaded to the YouTube channel  7  of the project to view and share. 

  

  * **Images** : part of the educational content will be in the form of images that will be provided in the most used formats, JPEG, PNG, GIF. 

  

Specifically, this dataset can be categorized into two distinct groups: 1) the
private/confidential data and the 2) public access data.

_Private/Confidential Data_

This data consists of the raw information/data that was collected and contains
the list of the SFTs that will be included into the library module, the
articles that contain the information for the machinery and the bibliography
that they were based upon. This dataset is approximately _272Mb_ and is hosted
in the private server of the project where only the partners have access to
it.

_Public Data_

This data consists of information that is publicly available to the players of
the game and any interested stakeholder. It is approximately _178Mb_ and
consists of videos that are uploaded and openly accessible via the projects
YouTube channel. Additionally, this dataset is also hosted in the private
server of the project for data integrity and availability issues.

The specific videos that are online at the moment this deliverable is written
are:  
  
<table>  
<tr>  
<th>

**Video name**

</th>  
<th>

**Data description**

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

**01_Gates_Account_Basics.mp4** 8  
</td>  
<td>

It presents the basics on how to login and create a new account

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

**02_Gates_SFT_Showcase.mp4** 9  
</td>  
<td>

his video presents the new module of the Smart Farming Technologies (SFT)
showcase

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

**03_Gates_SFT_Training.mp4** 10  
</td>  
<td>

This video presents the new SFT training module, which aims to show the basic
principles behind some SFT.

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

**04_GATES_Main_Story.mp4** 11  
</td>  
<td>

This video presents the Main Story module where 8 scenarios have been created
to explain different aspects of the game

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

**05_My_Scenarios.mp4 12  **

</td>  
<td>

This video presents how to create new custom scenarios to play the game

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

**06_Gates_Realtime.mp4** 12  
</td>  
<td>

This video presents how to play real time mode.

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

**07\. GATES Library.mp4 14  **

</td>  
<td>

This video presents GATES library http://gates-library.agenso.gr/, where the
player could access to multimedia information regarding the SFT

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

**GATES Introduction to 2nd**

**Minimum Viable Game.mp4** 13

</td>  
<td>

Showcases the 2nd Minimum Viable Game (2MVG) of the GATES Smart Farming
Simulation Platform.

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

This dataset is extremely useful to the players of the game and to researchers
that require access to the current SFT technologies.

###  FAIR DATA

####  Making data findable, including provisions for metadata

Portion of this dataset is hosted only on the projects private
server(Private/confidential data), where the Public Data is hosted in the web
portal server for it to be openly accessible. Each dataset is accompanied by
the following metadata to ensure its quality:  
  
<table>  
<tr>  
<th>

**Creator**

</th>  
<th>

The consortium partner responsible of the creation

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

**Title**

</td>  
<td>

The label of this dataset

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

**File type**

</td>  
<td>

The format of the dataset (pdf, pptx etc.)

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

**File Size**

</td>  
<td>

The size of the dataset

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

**Version**

</td>  
<td>

The version number of the dataset

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

**Date**

</td>  
<td>

The date this dataset was created

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

**Info**

</td>  
<td>

Information of the dataset in case any clarification is necessary.

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

_Private/Confidential Data_

Only members of the consortium are able to access this data through the
private server. Specifically, to facilitate easier access, there is a specific
folder dedicated to each SFT where it contains the following files:  
  
<table>  
<tr>  
<th>

**File name convention**

</th>  
<th>

**Data description**

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

**{SFT NAME}-farmer.docx**

</td>  
<td>

The information/article of this SFT for user with _Farmer_ access rights

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

**{SFT NAME}-professionals.docx**

</td>  
<td>

The information/article of this SFT for user with _Professionals_ access
rights

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

**{SFT NAME}-students.docx**

</td>  
<td>

The information/article of this SFT for user with _Students_ access rights

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

**{SOURCE}.pdf**

</td>  
<td>

Several pdfs of the bibliography used for the creation of the articles for
this SFT

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

_Public Data_

Through GATES Library platform, the visitors are able to locate this data
either by following the menu hierarchy, or by using the search bar and
querying the name of the dataset as keyword. The platform also allows its
visitors to search using predefined categories and based on their access
rights ( _Farmer, Student, Professional_ ) it shows the equivalent
information.

####  Making data openly accessible

All content in the _Public Data_ category is openly accessible via the GATES
Library platform without any restriction on the access. To access them the
users will need to navigate to the library website, locate the desired SFT and
preview all of its information. All of media content (images, videos etc) is
incorporated into the pages and can be previewed without the need for any
external software. The web-portal can be accessed by the visitors through the
browser of his choice (Firefox, Chrome, Microsoft Edge etc.) and by navigating
to _http://gates library.  agenso.gr/ _ .

_All content that rely on the “Private/Confidential Data” is restricted and
accessible only from the members of the consortium._

####  Making data interoperable

This dataset will be educational content to be used “as is” for reference and
educational material. In extend no interoperable operations are to be made.

####  Increase data re-use (through clarifying licenses)

The partners have decided that the “Public Data” of this dataset will be open
for everyone to view and download as an educational content but with no right
to reproduce it, as a set of this data will be provided to GATES by third
parties with their own license and specific permissions will be required.

**ALLOCATION OF RESOURCES**

Not applicable (Covered by the person months of WP3).

###  DATA SECURITY

Since the data are openly available in the web portal no extra security
measurements are needed. A backup of this dataset will be stored in the
projects private server to ensure data recovery in case of data loss.

**ETHICAL ASPECTS**

Not applicable.

**OTHER**

Not applicable.

##  Dataset No 6: Game Backend Data (Logger Module)

###  Data Summary

The purpose of this dataset is to track player behavior and get all insights
the consortium needs to improve the game in the framework of the validated
learning process (WP5). Several data are recorded such as individual player
performance, reactions and results from the players and rating of the tasks by
the users to increase quality and performance.

No existing data were re-used for the collection of this dataset. This dataset
is a collection of information on the behavior of the players during the game
that was recorded automatically by the _Unity_ engine and provides the
consortium with the following information:  
  
<table>  
<tr>  
<th>

**Data type**

</th>  
<th>

**Data description**

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

**Operating system**

</td>  
<td>

The type of operating system under which the players accessed the game
(Windows, Linux, MacOS)

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

**Browser**

</td>  
<td>

The browser used to start the game (Firefox, Chrome, Opera etc)

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

**End State**

</td>  
<td>

The result of the game (Won or Lost)

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

**User ID**

</td>  
<td>

The ID of the current player

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

**Scenario Spending**

</td>  
<td>

The expenditures of the player during the game play

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

**Scenario Income**

</td>  
<td>

The money the players earned during the game play

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

**Scenario ID**

</td>  
<td>

The ID of the scenario that was played

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

The game behavior data are stored in files per month and each file size can
vary from 1Kb to much higher according to the number of scenarios that are
recorded.

###  FAIR DATA

Making data findable, including provisions for metadata

The data on this dataset is confidential and with restriction on the access
only by the members of the consortium.

Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Not applicable (Confidential data)

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

Not applicable (Confidential data)

###  DATA SECURITY

All of the data will be hosted in the projects private server for safekeeping.
Periodical backup mechanisms will be established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

Not applicable (Confidential data)

##  Dataset No 7: GATES Game Data

###  Data Summary

The purpose of this dataset is to collect the data needed for the development
of the game core, such as graphics, animations, gameplay, interface, audio
etc. The origin of this data was the personal work from the members of the
consortium so no data re-use is available.

The data is in numerous formats, based on its type. For example,

  * **3-D modelling data** will be in Blender format (.fbx) 

  

  * **Animations data** in Maya format(.ANIM) 

  

  * **Educational material and the info tips** will be in the form of text database records.  **Images** in .jpeg and .svg vector files 

  

During the lifetime of the project several files have been created
(approximately _37Mb_ of compressed .fbx files) and saved to the projects
private server and accessed by the consortium members only. This dataset is
extremely valuable to the developers of the game and to the members of the
consortium in general.

###  FAIR DATA

####  Making data findable, including provisions for metadata

The content of this dataset is hosted in the private server of the project and
restricted to the consortium members only. Moreover, it is accompanied by the
following metadata table to ensure its quality and allow the partners to
locate the desired version:  
  
<table>  
<tr>  
<th>

**Creator**

</th>  
<th>

The consortium partner responsible of the creation

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

**Title**

</td>  
<td>

The label of this dataset

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

**File type**

</td>  
<td>

The format of the dataset (.fbx, .annim, etc)

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

**File Size**

</td>  
<td>

The size of the dataset

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

**Version**

</td>  
<td>

The version number of the dataset

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

**Date**

</td>  
<td>

The date this dataset was created

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

**Info**

</td>  
<td>

Information of the dataset in case any clarification is necessary.

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

Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP4.

###  DATA SECURITY

All of the data will be hosted in the projects private server for safekeeping.
Periodical backup mechanisms will be established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

Not applicable (Confidential data)

##  Dataset No 8: Meteorological Data (Data module)

###  Data Summary

The purpose of this dataset is to provide GATES with historical meteorological
data (temperature, humidity, precipitation etc.) from all over Europe for the
simulation of the agricultural conditions. These data are vital for the
algorithms to work as expected. The source of this dataset is online weather
services, which were queried by EU-climate zone, and the results stored in the
projects private server.

For the purposes of this dataset, excel file formats were created, containing
the response of the web services regarding the weather conditions of each
climate zone for the last 16 years. No existing data was re-used and the total
storage size for all of the created files is 4.71Mb and is expected to
increase to maintain the previous information (history). This dataset is vital
for the development of the simulation part of the game. The following table
shows the data types/information that is stored in each file:  
  
<table>  
<tr>  
<th>

**Title**

</th>  
<th>

**Unit**

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

**Day**

</td>  
<td>

Date

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

**Average Temperature**

</td>  
<td>

°C

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

**Maximum temperature**

</td>  
<td>

°C

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

**Minimum temperature**

</td>  
<td>

°C

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

**Atmospheric pressure at sea level**

</td>  
<td>

hPa

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

**Average relative humidity**

</td>  
<td>

%

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

**Total rainfall and / or snowmelt**

</td>  
<td>

mm

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

**Average visibility**

</td>  
<td>

Km

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

**Average wind speed**

</td>  
<td>

Km/h

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

**Maximum sustained wind speed**

</td>  
<td>

Km/h

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

**Maximum speed of wind**

</td>  
<td>

Km/h

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

**Indica whether there was rain or drizzle**

</td>  
<td>

the total days it rained

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

**Indica if it snowed**

</td>  
<td>

the total days it snowed

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

**Indicates whether there storm**

</td>  
<td>

Total days with thunderstorm

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

**Indicates whether there was fog**

</td>  
<td>

Total days with fog

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

###  FAIR DATA

####  Making data findable, including provisions for metadata

This dataset is restricted and accessible only among the members of the
consortium. It is stored in the projects private folder and can be accessed
using the Excel software. Particularly, this dataset consists of 18 excel
files, one for each supported area. The naming convention used is {area}_{Date
From: YYYY}-{Date To: YYYY}.csv, i.e. Athens_2000-2016.csv.

This dataset is accompanied by metadata information to assure the quality of
the service. The metadata include the following information:  
  
<table>  
<tr>  
<th>

**Creator**

</th>  
<th>

The consortium partner responsible of the creation

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

**Title**

</td>  
<td>

The label of this dataset

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

**File type**

</td>  
<td>

The format of the dataset (.xml, .json)

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

**File Size**

</td>  
<td>

The size of the dataset

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

**Climate zone**

</td>  
<td>

An identifier of the climate zone these data represent

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

**Date period**

</td>  
<td>

The date range the data correspond to

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

**Original Source**

</td>  
<td>

The web service provider of the data

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

**Info**

</td>  
<td>

Information of the dataset in case any clarification is necessary.

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

No versioning provisions are to be made since the data relates to a specific
time period and will not change in the future.

Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Not applicable (Confidential data)

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP4.

###  DATA SECURITY

All of the data is hosted in the projects private server for safekeeping.
Periodical backup mechanisms are established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

##  Dataset No 9: Agricultural Data (Data module)

###  Data Summary

The purpose of this dataset is to provide GATES with historical agricultural
data from all over Europe for the simulation of the agricultural conditions.
The data were classified according to the European climate zones and provided
information regarding soil, yield and pest infestation. The source of the soil
data come from online databases, where, for yield and pest infestation data, a
research will be conducted by the consortium.

Specifically, the consortium after careful consideration decided to use
_https://www.soilgrids.org/_ and  _http://www.fao.org/faostat/en/#data_ t  o
query and retrieve Agricultural data from all over Europe. More information on
the methodology and general approach can be found in deliverable “D2.2 Report
in GATES Modelling and Simulation Algorithms”.

No existing data was re-used, where, this dataset is stored in the projects
private server in excel files (.xlsx) containing numerous information from all
over the EU such as: area harvested (hectares), yield (hg/ha), production
(tonnes), pesticide usage and many more. This dataset is approximately _168Mb_
of raw data.

###  FAIR DATA

####  Making data findable, including provisions for metadata

Not applicable (Confidential data) Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Not applicable (Confidential data)

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP4.

###  DATA SECURITY

All of the data will be hosted in the projects private server for safekeeping.
Periodical backup mechanisms will be established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

Not applicable (Confidential data)

##  Dataset No 10: GATES experiments data

###  Data Summary

In the lifespan of the GATES project, three game experiments were conducted in
three pilot countries. The data collected during these experiments will be the
content of this dataset. Its purpose is to validate the game version at hand
and to prove that a) players enjoy the core gameplay of the specific version
and b) that players can understand the game mechanics.

No existing data was reused and the new data that was collected, came from the
players that provided feedback on their gaming experience during the
experiment. The format of the data is in Excel format and this particular
dataset was extremely useful to the game development partner and in the
consortium in general as to validate the game in terms of achieving the
desired goals with a live audience.

Specifically, the questionnaire that was answered by the test players during
the three validation cycles resulted in the following excel files:

  * “ _GATES - First validation cycle-results-survey189595.xlsx_ ” approximately 28Kb of size that contains 85 responses from the players 

  

  * “GATES - Second validation cycle-results-survey.xlsx” approximately 65Kb of size that contains 217 responses from the players 

  

  * “GATES - Third validation cycle-results-survey.xlsx” approximately 68Kb of size that contains 224 responses from the players 

  

###  FAIR DATA

####  Making data findable, including provisions for metadata

This dataset is part of the inner-validation process of the GATES game and is
restricted and accessible only by the members of the consortium. It is stored
in the projects private server which is accessible by all the member of the
consortium.

There is no need for versioning control as it is not possible to change after
the collection and no need for metadata as well. Additionally, the naming
convention of the files will be decided during the experiments design process,
where the file formats will be decided as well.

Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Not applicable (Confidential data)

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP4.

###  DATA SECURITY

All of the data will be hosted in the projects private server for safekeeping.
Periodical backup mechanisms will be established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

##  Dataset No 11: GATES market data

###  Data Summary

The purpose of this dataset is to assist the consortium to better identify the
countries in which market entry will be more straightforward, leading to a
selection of 5 target countries, whose markets will be addressed in the
business plan. The source of this dataset is the work performed by the partner
“INI”, which conducted a market research focusing in 10 EU countries including
the most mature SFT markets of Northern Europe.

Several market criteria were processed and analyzed including (among many
others):

  * Distribution of territory by type of region 

  

  * GDP per capita by type of region. Eurostat 2013 

  

  * Agricultural land use in EU countries 

  

  * Agriculture factor income and Gross Fixed capital 

  

  * Production of cereals in EU-28 

  

  * Production of fruit and vegetables in the targeted countries 

  

  * Production of grapes in the EU-28 

  

  * Farm Economic, Physical and Labour size for the EU-28 

  

  * Regular farm labor force, in persons 

  

  * Demographic statistics for Farm managers by age 

  

  * Farm training statistics 

  

  * Farmer gender statistics 

  

  * Internet Access statistics 

  

  * SFT acceptance rate in EU 

  

  * Business model for Serious Game 

  

  * Market acceptance research 

  

  * Game-based learning growth rates 

  

  * Game-based learning by Region, Country and Educational Game Type 

  

  * Research on available serious games in agriculture (direct competitor analysis) 

  

  * Age gap in farmers (ratio of young to old farmers) 

  

  * Knowledge needs of young farmers 

  

  * Potential stakeholder analysis 

  

  * Farmer association analysis in the EU 

  

All of the information that was collected and thoroughly analyzed by INI is
well documented in the 6.6 deliverable which has been submitted to the SyGMa
platform. This dataset will be very useful to the consortium to design the
optimum path to reach the users.

###  FAIR DATA

####  Making data findable, including provisions for metadata

This dataset is collected from open sources but the analyzation is considered
confidential as part of the commercial project that GATES is. In extend, this
dataset is confidential and restricted to the members of the consortium only.

Making data openly accessible

Not applicable (Confidential data)

Making data interoperable

Not applicable (Confidential data)

Increase data re-use (through clarifying licenses)

Not applicable (Confidential data)

**ALLOCATION OF RESOURCES**

No additional cost is required for this dataset as it is included in the
person months cost of WP4.

###  DATA SECURITY

All of the data is be hosted in the projects private server for safekeeping.
Periodical backup mechanisms will be established to ensure data recovery.

**ETHICAL ASPECTS**

Not applicable (Confidential data)

**OTHER**

Not applicable (Confidential data)

##  Support Package

The support package includes a list of recommendations that should be applied
for the project in general and specifically for each partner, according to its
role into the consortium.

###  General GATES recommendations

  * To prepare the Data Management Plan within the first six months of the project and update the report during the lifetime of the project when significant changes will happen (e.g. new data types to be included, changes in the consortium). 

  

  * To deposit the project’s scientific publications to Open Access Journal repository, partners’ institutional repository, GATES platform and/or OpenAIRE’s zenodo repository. 

  

  * Project partners to add the appropriate acknowledgement text to the scientific publications, related to GATES outcomes. 

  

  * Project partners to use the public Creative Commons open access licensing schema (e.g. CC BY 4.0) where applicable. 

  

  * To set up the workflow process for uploading and publishing content into the GATES platform. 

  

  * To set up the quality assurance process for publishing the GATES platform content.  To define the information schema for the GATES platform content. 

  

###  Recommendations for AUA partner (GATES coordinator)

  * To prepare the Data Management Plan within the first six months of the project and update the report during the lifetime of the project when significant changes will be happened (e.g. new data types to be included, changes in the consortium). 

  

  * To be responsible for the overall day-to-day financial and administrative management and coordination of the project. 

  

  * To act as a liaison between the Consortium and the European Commission; prepare and ensure the timely delivery of all required reports, deliverables, and financial statements to the European Commission. 

  

  * To deposit the AUA’s publications and associated metadata related to GATES outcomes into Open Access Journal repository or institutional repository (where applicable). 

  

  * To guide project partners to add the appropriate acknowledgement text to the scientific publications, related to GATES outcomes. This information should be included into specific publication section, as well into the metadata fields. 

  

  * To encourage project partners to use the open access licensing schema (CC BY 4.0) for the publications and reports related to GATES outcomes (if there are no restrictions). 

  

  * To upload the information related to smart farming technologies into the GATES platform with a link directly to the original source. 

  

  * As an alternative, the project publications could be stored into the OpenAIRE giving the ability to third parties to access, mine, exploit, reproduce and disseminate them. 

  

  * To create a library about SFT and serve it to the consortium member to be used both in-game and in the web portal as informational material. 

  

  * To upload descriptions of the AUA’s publications for smart farming technologies, as new records into the GATES platform with link to the original source (open access journal repository and/or institutional repository). 

  

  * To decide about the validation process for ensuring the high quality of the GATES platform content, e.g. 

  

the partners’ role, quality assurance criteria for the uploaded content, which
uploaded content will be published etc.

  * To coordinate the licensing schema that should be applied for the GATES platform content. Most preferred licensing schema is the Creative Commons CC-BY 4.0 that prohibit the system users to re-use and modify the SFTs information without the previous attribution to the source. 

  

  * To prepare the support package for project partners with guidelines on how to generate, collect and disseminate the project content. 

  

  * With explicit agreement by the Commission, other open access costs related to membership to a journal for publishing in open access or as a pre-condition for lower article processing charges could be explored (Project Officer could assist on that). 

  

  * To distribute the questionnaire to 100 students in the Agricultural University of Athens and provide the feedback to the consortium. 

  

  * To collect data from scientific publications related to smart farming technologies. 

  

  * To be responsible for the agenda and minutes of the meetings and to organize telephone or video conferences. 

  

  * To be responsible for the decisions regarding the strategic orientation of the project (strategy, progress, major project revisions, collaboration with other projects, dissemination, etc). 

  

  * To prepare and deliver the Consortium Agreement (prior to Grant Agreement). 

  

  * To set up a working protocol for the project partners to ensure smooth communication throughout the duration of the project. 

  

  * To set up a web-based tool (intranet in project’s platform) to facilitate internal communication on project activities and the safe exchange of documents. 

  

  * To implement financial sheets to facilitate the financial reporting and monitoring of the project 

  

  * To transfer the EU Financial Contribution received to the participants according to the budget agreed with the Project Officer and within the timeframe. 

  

  * To organize the periodic consortium meetings with the support of the hosting partner. 

  

  * To prepare the agendas and meetings of the General Assembly and ensure that decisions are made and properly implemented. 

  

  * To ensure that each WP is implemented according to the tasks and time schedule stated in the Grant Agreement and that results fit the stated objectives. 

  

  * To ensure frequent interactions with the WP leaders (through the MST) and the General Assembly. 

  

  * To ensure the overall integration of all WP activities.  To promote gender equality within the project. 

  

  * To define the learning methodology of GATES. 

  

  * To create the algorithms and models for the mechanics of the game. 

  

  * To contribute on the GAME design development by creating the Storyboarding of GATES. 

  

  * To cooperate with INO on the user requirements and competencies. 

  

  * To cooperate with INO on setting up the game experiments. 

  

  * To cooperate with INO on applying lean game development. 

  

  * To cooperate with INO on running the experiments and the evaluation of the results. 

  

  * To cooperate with INI on creating the dissemination and communication plan. 

  

  * To cooperate with INI on the identification of the market and the creation of the business model. 

  

  * To cooperate with MP on game design and interfaces definition. 

  

###  Recommendations for InoSens partner

  * To deposit the InoSens’s publications and associated metadata related to GATES outcomes into Open Access Journal repository or institutional repository (when applicable based on restriction policy). 

  

  * To design the questionnaire for the user requirements, distribute it between the partners and educate them. 

  

  * To distribute the questionnaire to 100 farmers in Serbia to fill and provide the feedback to the consortium.  To provide to the partners the overall methodology for the validation process of GATES. 

  

  * To provide the consolidated recommendation reports coming up from each of the three iterations of the validation process on Serbia, Spain and Greece. 

  

  * To assist on the game design process, ensuring that educational contents and game interplay and modes fit the user requirements and game design agree. 

  

  * To setup the game experiments in the three pilot countries and run them in cooperation with the corresponding partners. 

  

  * To cooperate with AUA on the Material collection, classification and evaluation process. 

  

  * To cooperate with AUA on the learning methodology definition. 

  

  * To cooperate with MP on the development of the game backend and the minimum viable game (MVG) versions and the extended features. 

  

###  Recommendations for MP partner

  * To propose the overall game design and interfaces and upload them into the private server. 

  

  * To support INO partner on the design of storyboard of the general game and each different modules. 

  

  * To develop and share with the partners the GATES minimum viable game (MVG). 

  

  * To develop and share with the partners the GATES Android and iOS versions of the game. 

  

  * To perform live tests of the game when it reaches its final state. 

  

  * To provide post-production and balancing, bugfixing, polishing and further improvements of the game. 

  

  * To develop a 3D environment that will simulate training with the realistic interfaces of the SFT. 

  

  * To construct the scenario creation mechanism that will allow users to customize their training experience. 

  

  * To develop the Statistics Module, which will project complex information in a easy to comprehend manner. 

  

  * To provide social features for players interaction through social platforms (i.e. Facebook, Linkedin). 

  

  * To cooperate with INO partner on setting up the game experiments. 

  

  * To cooperate with INO partner on applying lean game development. 

  

  * To cooperate with INI partner on creating the dissemination and communication plan. 

  

  * To cooperate with INI partner on the identification of the market and the creation of the business model. 

  

###  Recommendations for Iniciativas Innovadoras partner (INI)

  * To deposit the INI’s publications and associated metadata related to GATES outcomes into Open Access Journal repository or institutional repository (when applicable based on restriction policy). 

  

  * To distribute the questionnaire for the user requirements to agricultural audience (farmers, agronomists) and provide the consortium with the results. 

  

  * To create and upload the Dissemination & Exploitation Strategy & Plan to the web-portal and the projects private server. 

  

  * To create and upload the Dissemination & Exploitation Reports to the web-portal and the projects private server. 

  

  * To create and upload the dissemination material to the web-portal and the projects private server. 

  

  * To create and manage the GATES User Group Community. 

  

  * To collaborate with the coordinator (AUA) on organizing the final dissemination event in Greece. 

  

  * To document and upload the public deliverables of WP6 (Communication, Dissemination & Exploitation) to the web portal. 

  

  * To develop the business plan of GATES and present it to the partners. 

  

  * To provide partners with the dissemination material they will use to promote GATES. 

  

  * To conduct a market research and present the results to the members of the consortium. 

  

###  Recommendations for ANSEMAT partner

  * To deposit the ANSEMAT’s publications and associated metadata related to GATES outcomes into Open Access Journal repository or institutional repository (when applicable based on restriction policy). 

  

  * To distribute the questionnaire for the user requirements 20 company representatives and 20 SFT specialists and provide the consortium with the results. 

  

  * To assist on the GAME design development in creation of GATES Storyboarding. 

  

  * To assist on the creation of a library about SFT and serve it to the consortium members to be used both in-game and in the web portal as informational material. 

  

  * To disseminate the project in events and meetings, mostly in the SFT and PA fields. 

  

  * To create a target group of technical experts from its member associates to provide feedback to the developers on the required elements of the game.