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Data-Driven Bioeconomy

Periodic Reporting for period 2 - DataBio (Data-Driven Bioeconomy)

Reporting period: 2018-07-01 to 2019-12-31

DataBio (Data-driven Bioeconomy) is a H2020 Lighthouse project focusing on utilizing Big Data technologies (software components and datasets) to improve the productivity in bioeconomy in a sustainable way. It deploys over 90 state-of-the-art Big Data, Earth Observation and ICT technologies as well as partners’ existing infrastructure and solutions, linked together through the DataBio Platform. It is driven by the development, use and evaluation of 27 pilots covering agriculture (13), forestry (8) and fishery (6). The pilots demonstrate how Big Data increases the efficiency of the production of raw materials in the three sectors, which in its turn grows the output of food, energy and biomaterials, responsibly and sustainably. DataBio organizes a series of trainings and hackathons to support the take-up of its results and to enable developers outside the consortium to create new components and services based on and for the DataBio Platform.

DataBio aimed to show the benefits of Big Data technologies in bioeconomy, through continuous cooperation between experts from end user and technology provider companies, from bioeconomy and ICT-technology research institutes, and and stakeholders from the Big Data Value PPP programme.from other partners.

The DataBio pipelines of technology components aggregate datasets and data streams from sources within three identified sectors (agriculture, forestry and fishery). Further, the pipelines process and analyse the data and allow the three sectors to selectively utilize numerous platform components, according to their requirements.

In the pilots also associated partners and other external stakeholders are actively involved. The selected pilots and concepts were transformed into pilot implementations using co-innovative approaches and tools. Iterative trial phases provided feedback to the ICT/ Big Data and Earth Observation technology experts, allowing them to improve their solutions.

Based on the pilot results and the DataBio platform, new solutions and new business opportunities are expected to emerge.

The DataBio objectives include:
* Build a versatile DataBio platform suitable for different industries and user profiles
* Ensure effective utilization of existing data sets
* Ensure a wide-spread use of the DataBio platform technologies in the agriculture, forestry and fishery sectors
* Opening the possibilities for European ICT industry including SMEs to participate actively on European and WorldWide Bioeconomy Big Data market
* Opening the possibilities for European Earth Observation industry including SMEs offering their new Bioeconomy related services in Europe and World Wide
* Ensure interoperability and easy setup of new multivendor applications utilizing Big DataBio platform
27 DataBio pilots have been defined, executed through two trials, and evaluated: 13 in agriculture, 8 in forestry and 6 in fishery. The DataBio agriculture pilots have demonstrated tangible improvement in productivity, mostly by reducing resource utilization and other costs. Similar productivity improvements have been demonstrated by the DataBio forestry and fishery pilots. Several of the pilots also addressed sustainability and responsible production issues.

95 Big Data and Earth Observation technology components and 38 datasets were handled in DataBio. Most of them were applied in the pilot trials and several were enhanced in DataBio. 16 major Big Data pipelines were formed and have great potential to be exploited. 7 pipelines are more generic, with the potential to be applied to a variety of applications.

DataBio has been the lead project in defining the BDVA Reference Model. DataBio has also contributed to public OGC Engineering Reports on the standardization of Earth Observation services.

DataBio has organized or participated in over 180 events, including high-profile conferences, stakeholder events, trainings and hackathons. The project has been active in the social media, with over 4500 LinkedIn members and over 600 Twitter followers. 74 associated partners and 138 external stakeholders have been formally engaged.

DataBio has analysed the bioeconomy market and exploitation plans have been devised at both partner and pilot levels. In addition, a number of other joint exploitation opportunities are been pursued.

The project results are documented in the public deliverables and are available at https://www.databio.eu/en/publicdeliverables/. There, public versions of a number of confidential deliverables are also available. Much more information is available at the project website (https://www.databio.eu). In addition, the DataBioHub (https://www.databiohub.eu) catalogues and correlates the DataBio components, datasets, pipelines and pilots.
DataBio’s achievements include:
* Demonstrated in 27 pilots the increase of productivity in bioeconomy raw material production by applying Big Data technologies
* Increased the market share of Big Data technology providers in the bioeconomy sector by maturing the TRL level of their products and services with 2,7 units
* Leveraged significantly additional target sector investments in agriculture, forestry and fishery
* Engaged more than 100 organizations in 27 pilot demonstrations, hackathons and stakeholder events
* Closely worked together with the BDVA community in numerous events

The two rounds of pilot trials provided concrete results and showed that the Big Data benefits listed above have been achieved. The software pipelines, based on partner´s components and datasets, have enabled the successful execution of a significantly bigger number of pilot trials (27) than foreseen in the original plan. This is because similar technology solutions have been applied in multiple pilots saving a substantial amount of development effort. In the second phase of the project, the pipelines were made even more general enhancing the deployment of the solutions to the needs in farming, forestry and fishery. Partly, the software modules have been packed as Docker modules on cloud servers close to the EO-data and other data. This also helps deployment.

DataBio has actively taken part in BDVA activities, like having presentations and stands at summits and meetup events - most recently with an own session in the European Big Data Value Forum in Helsinki in October 2019 .