Project deliverable Open Access

BigDataGrapes D9.3 – Dissemination and Awareness Report

Dimitris Fotakidis; Alina Petri; Eirini Kouriantaki

BigDataGrapes aims to help European companies in the wine and natural cosmetics industries become more competitive in the international markets. It specifically tries to help companies across the grapevine-powered value chain ride the big data wave, supporting business decisions with real time and cross-stream analysis of very large, diverse and multimodal data sources. The project involves the following types of commercial partners of the European grapevine-powered industries:

● Wine producers, bottlers and distributors that are managing large vineyards and are taking critical decisions that may affect (a) product lines, such as which grape varieties to combine and plant at which location and under which treatment in order to produce a new wine; or (b) production years, such as how to efficiently monitor and predict where careful vineyard management interventions should take place.

● Producers and packagers of food and wine products using grape by-products as ingredients (such as raisins, must, vinegar and grape juice) and that are continuously monitoring the quality of their product and assessing its vulnerability to risk.

● Natural cosmetic companies that have product lines based on grapes and wine that are continuously testing the quality of the grape extracts that they are using as ingredients and the corresponding suppliers.

BigDataGrapes also aims to improve the competitive positioning of companies in the European IT sector that are serving companies and organisations with software applications:

● Software companies developing farm management and precision agriculture systems for companies in the agriculture sector.

● Software companies developing food risk assessment monitoring and prediction systems for companies in the food sector.

● Software companies developing quality control and compliance software for companies in the beauty and cosmetics sector.

Furthermore, BigDataGrapes aspires to establish a framework facilitating the transparent documentation, exploitation and publication of research assets (datasets, software components results and publications), in order to enable their reuse and repurposing from the wider research community. Thus, the vision of BigDataGrapes project is to develop and demonstrate powerful data processing technologies that could initially serve all European companies active in two key industries powered by grapevines: the wine industry and the natural cosmetics one and it could be evolved to a BigDataGrapes entity demonstrator that will be positioned as the European grapevine-powered thematic entity.

WP9 concentrates on the dissemination of the project and its results among the identified target groups by using online and offline dissemination channels and activities. More specifically, WP9 focuses on (a) creating awareness and engaging further the scientific communities that are related to each one of the projects’ pilots: Table and Wine Grapes Pilot (AUA), Wine Making Pilot (INRA), Farm Management Pilot (ABACO & GEOCLEDIAN), Natural Cosmetics Pilot (Symbeeosis) and Food Protection Pilot (Agroknow) (b) creating general awareness about BigDataGrapes and the types of innovative services that scientists may use, in other scientific communities and networks (Task 9.2). Moreover, linking BigDataGrapes with international initiatives and networks that are working on open, big and interoperable data for agriculture and nutrition towards contributing to the corresponding standardisation work falls within the scope of WP9 under Task 9.3. Additionally, alignment of the work held in BigDataGrapes with the development and deployment of roadmap, to help positioning BigDataGrapes in the global Data as a Service (DaaS) and Platform as a Service (PaaS) ecosystems, as well as establish a legal entity for its future management and operation is part of Task 9.4.

Adapting our Dissemination Plan to Covid-19.We faced major challenges during the last year of the BigDataGrapes project, due to Covid-19. The new operational reality caused by the Covid-19 pandemic, presented unique dissemination challenges. Tailored dissemination plan was the key to a timely and strategic response to this quickly changing environment. The consortium plan was to reduce the travel and in-person meetings (most of the times traveling was also restricted by the national and EU laws) by turning to online events and digital media (e.g., webinars, short videos, and more) to raise awareness, foster capacity building and knowledge sharing, adopting digital-centre dissemination actions. Digital marketing is cost-effective, quickly implemented, easily measured, and it allows for great exposure.

Our conclusion in WP9 (see D9.2) is that the proposed innovations need an updated state of the art strategy in order to position competitively in the global market. After consulting with experts in the field, we are convinced that this revised strategy needs to be based on the principals of inbound and digital marketing to maximize the competitiveness of companies that choose to use the BigDataGrapes data from (Big) Data Platform. Agroknow, as the WP leader suggested and implemented a revised version of this deliverable that incorporated the revised dissemination and exploitation strategy. This is the final version of the deliverable aiming at reporting the final dissemination activities, taking into account all recommendations during the lifespan of the project.

WP9 has created an online infrastructure (including project website and social media channels) and a set of print dissemination materials to promote the project (as presented in Annex B). By the end of the project, the project website has been visited by 4.252 people (unique visitors) and the social media channels count 550 followers (Twitter, LinkedIn, SlideShare and YouTube), 3.105 views (SlideShare) and 510 views (YouTube). Also, the project partners prepared 15 online press publications and communicated the project objectives and vision via online dissemination media (see section 6.1). These numbers were achieved as soon as additional tangible results were available during the second period of the project (M19-M36).

Finally, our consortium organized 6 workshops in well-known and relevant conferences (for more details see section 4.1.1), 6 webinars demonstrating the project’s outcomes to the scientific communities (for more details see section 4.2) and 10 open days in the partners premises, inviting stakeholders interested to discover the BigDataGrapes results (for more details see section 4.3). Moreover, we attended in 18 events in order to disseminate our results from which: (i) 6 were training events of young scientists (e.g., summer schools); (ii) 8 events targeted to special interest groups in specialised forums, standardisation groups, global networks; (iii) 4 events at AgriTech commercial exhibitions and trade fairs (for more details see section 4.4). In total, more than 545.100 stakeholders have been reached, 47 scientific papers (journal papers and conference papers) were submitted for publication or published (see Section 6.2) and 3 extra papers (i.e., two white papers and one discussion paper) have been created in order to outreach policy & decision makers and inform them about project activities, outcomes, successes and societal impact we develop (see section 6.4).

This deliverable describes online and offline dissemination channels, as well as activities, which were conducted until the end of the project. Moreover, it provides an outlook of the dissemination activities that were implemented in order to increase project’s engagement with SMEs. The collaboration of BigDataGrapes project with other EU and international projects by providing tools and services is also demonstrated. Finally, Key Performance Indicators are described and applied to measure the effectiveness of dissemination.

Files (6.4 MB)
Name Size
D9.3 - Dissemination and Awareness Report_M36_V3.0.pdf
md5:66fac66ba69f4be9d3cd497e6000a6e9
6.4 MB Download
9
6
views
downloads
All versions This version
Views 99
Downloads 66
Data volume 38.3 MB38.3 MB
Unique views 44
Unique downloads 22

Share

Cite as