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2022 Dataset Unknown

Recommender systems for science: a basic taxonomy
Arezoumandan M., Ghannadrad A., Candela L., Castelli D.
This dataset is accompanying the "Recommender system for science: A basic taxonomy" paper published at IRCDL 2022 conference. This study had a Systematic Mapping Approach on the Recommender system for science. In particular, the study aims at responding to four questions on recommender systems in science cases: users and their interests representation, item typologies and their representation, recommendation algorithms, and evaluation, and then providing a taxonomy. This dataset contains 209 papers of interest that have been published between 2015 and 2022. The dataset has 11 columns which organised as follows: Column Title: This column contains the title of the papers. Column DOI: This column contains the DOI of the papers. Column Publication_year: This column contains the year that the paper is published. Column DB: This column contains the repository that the paper is retrieved. Column Keywords: This column contains the keywords provided for the paper. Column Content_type: This column contains the paper type which can be: Article, Conference or Review. Column Citing_paper_count: This column contains the citation number of the paper. Column Recommended_artefact: This column contains the scientific product that is recommended to users which can be paper, workflow, collaborator, dataset or others. Column User_type: This column contains the type of user who receives the recommendation, which can be an Individual user or a Group of users. Column Algorithm: This column contains the recommendation algorithm that the paper proposed, which can be: HB (Hybrid-based), CB (Content-based), CFB (Collaborative-filtering-based), or GB (Graph-based). Column Evaluation_method: This column contains the method of the algorithm evaluation which can be OFFLINE, ONLINE, BOTH, or NO_EVALUATION.DOI: 10.5281/zenodo.6006905
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: CNR ExploRA


2022 Contribution to conference Open Access OPEN

Recommender systems for science: a basic taxonomy
Arezoumandan M., Ghannadrad A., Candela L., Castelli D.
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g., papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Source: IRCDL 2022 - 18th Italian Research Conference on Digital Libraries, Padova, Italy, 24-25/02/2022
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2022 Dataset Unknown

A taxonomy of tools and approaches for FAIRification
Mangione D., Candela L., Castelli D.
Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.DOI: 10.5281/zenodo.6037508
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: CNR ExploRA


2022 Contribution to conference Open Access OPEN

A taxonomy of tools and approaches for FAIRification
Mangione D., Candela L., Castelli D.
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts.This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: IRCDL 2022 - 18th Italian Research Conference on Digital Libraries, Padova, Italy, 24-25/02/2022
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2022 Journal article Open Access OPEN

Virtual research environments co-creation: the D4Science experience
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T., Sinibaldi F.
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: Concurrency and computation (Online) (2022). doi:10.1002/cpe.6925
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS via OpenAIRE, Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ISTI Repository Open Access | onlinelibrary.wiley.com Restricted | CNR ExploRA Restricted


2022 Conference article Open Access OPEN

Recommender systems for science: a basic taxonomy
Ghannadrad A., Arezoumandan M., Candela L., Castelli D.
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g. papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Source: IRCDL 2022 - 18th Italian Research Conference on Digital Libraries, Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2022 Conference article Open Access OPEN

A taxonomy of tools and approaches for FAIRification
Mangione D., Candela L., Castelli D.
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts. This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: IRCDL 2022 - 18th Italian Research Conference on Digital Libraries, Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2022 Dataset Unknown

Virtual research environments ethnography: a preliminary study
Arezoumandan M., Candela L., Castelli D., Ghannadrad A., Mangione D., Pagano P.
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: CNR ExploRA


2021 Conference article Open Access OPEN

Realising a science gateway for the Agri-food: the AGINFRAplus experience
Assante M., Boizet A., Candela L., Castelli D., Cirillo R., Coro G., Fernandez E., Filter M., Frosini L., Kakaletris G., Katsivelis P., Knapen R., Lelii L., Lokers R., Mangiacrapa F., Pagano P., Panichi G., Penev L., Sinibaldi F., Zervas P.
The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing and analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the "assets" to be exploited when performing research tasks, e.g. data of interest are heterogeneous and scattered across several repositories, the tools modellers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the "whole story" with datasets, processes, workflows. This paper presents the AGINFRA PLUS endeavour to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the "assets" of interest and promote collaboration.Source: 11th International Workshop on Science Gateways, Ljubljana, Slovenia, 12-14/06/2019
Project(s): AGINFRA PLUS via OpenAIRE

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

InfraScience Research Activity Report 2020
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mannocci A., Pagano P., Panichi G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2020 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e\-Sci\-ence, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, \ie D4Science and OpenAIRE. During 2020 InfraScience members contributed to the publishing of 30 papers, to the research and development activities of 12 research projects (11 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Report, ISTI-2021-AR/002, pp.1–20, 2021
DOI: 10.32079/isti-ar-2021/002
Project(s): ARIADNEplus via OpenAIRE, Blue Cloud via OpenAIRE, PerformFISH via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, EOSCsecretariat.eu via OpenAIRE, RISIS 2 via OpenAIRE, TAILOR via OpenAIRE, I-GENE via OpenAIRE, MOVING via OpenAIRE, OpenAIRE-Advance via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

ICDI Competence Centre for Open Science, FAIR and EOSC - Mission, strategy and action plan
Lazzeri E., Tanlongo F., Pavone G., Alpi F., Ansuini A., Bertazzon E., Bonaccorsi D., Cappelluti F., Casati S., Castelli D., Cippitani R., Colcelli V., Costantini A., Cozzini S., Degl'Innocenti E., Di Donato F., Di Giorgio S., Fava I., Fiore S., Forni M., Galimberti G., Giglia E., Giorgetti A., Kurapati S., Landoni M., Lavitrano M., Marras C., Niccolucci F., Occioni M., Osmenaj E., Paolini G., Pasquale V., Petrillo C., Pugliese R., Ripepi E., Rivoira G., Rossi G., Salon S., Sarretta A., Sartori A., Spiga D., Tamagno D., Tammaro A. M., Vellico M., Vignocchi M., Zane D.
This document presents the mission and strategy of the Italian Competence Centre on Open Science, FAIR, and EOSC. The Competence Centre is an initiative born within the Italian Computing and Data Infrastructure (ICDI), a forum created by representatives of major Italian Research Infrastructures and e-Infrastructures, with the aim of promoting synergies at the national level, and optimising the Italian participation to European and global challenges in this field, including the European Open Science Cloud (EOSC), the European Data Infrastructure (EDI) and HPC. This working paper depicts the mission and objectives of the ICDI Competence Centre, a network of experts with various skills and competencies that are supporting the national stakeholders on topics related to Open Science, FAIR principles application and participation to the EOSC. The different actors and roles are described in the document as well as the activities and services offered, and the added value each stakeholder can find the in Competence Centre. The tools and services provided, in particular the concept for the portal, through which the Centre will connect to the national landscape and users, are also presented. This record is the English translation of the original Italian (2021). Competence Centre ICDI per Open Science, FAIR, ed EOSC - Mission, Strategia e piano d'azione. Zenodo. https://doi.org/10.5281/zenodo.5071055Source: ISTI Technical Report, ISTI-2021-TR/023, 2021
DOI: 10.32079/isti-tr-2021/023

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN

Competence Centre ICDI per Open Science, FAIR, ed EOSC - Mission, strategia e piano d'azione
Lazzeri E., Tanlongo F., Pavone G., Alpi F., Ansuini A., Bertazzon E., Bonaccorsi D., Cappelluti F., Casati S., Castelli D., Cippitani R., Colcelli V., Costantini A., Cozzini S., Degl'Innocenti E., Di Donato F., Di Giorgio S., Fava I., Fiore S., Forni M., Galimberti G., Giglia E., Giorgetti A., Kurapati S., Landoni M., Lavitrano M., Marras C., Niccolucci F., Occioni M., Osmenaj E., Paolini G., Pasquale V., Petrillo C., Pugliese R., Ripepi E., Rivoira G., Rossi G., Salon S., Sarretta A., Sartori A., Spiga D., Tamagno D., Tammaro A. M., Vellico M., Vignocchi M., Zane D.
This document presents the mission and strategy of the Italian Competence Centre on Open Science, FAIR, and EOSC. The Competence Centre is an initiative born within the Italian Computing and Data Infrastructure (ICDI), a forum created by representatives of major Italian Research Infrastructures and e-Infrastructures, with the aim of promoting sinergies at the national level, and optimising the Italian participation to European and global challenges in this field, including the European Open Science Cloud (EOSC), the European Data Infrastructure (EDI) and HPC. This working paper depicts the mission and objectives of the ICDI Competence Centre, a network of experts with various skills and competences that are supporting the national stakeholders on topics related to Open Science, FAIR principles application and participation to the EOSC. The different actors and roles are described in the document as well as the activities and services offered, and the added value each stakeholder can find the in Competence Centre. The tools and services provided, in particular the concept for the portal, though which the Centre will connect to the national landscape and users, are also presented. An english translation of this document is provided in Zenodo: Lazzeri, Emma, et all. (2021). ICDI Competence Centre for Open Science, FAIR and EOSC - Mission, Strategy and Action Plan. Zenodo. https://doi.org/10.5281/zenodo.5512638Source: ISTI Technical Report, ISTI-2022-TR/022, 2021
DOI: 10.32079/isti-tr-2022/022

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2020 Journal article Open Access OPEN

Realizing virtual research environments for the agri-food community: the AGINFRA PLUS experience
Assante M., Boizet A., Candela L., Castelli D., Cirillo R., Coro G., Fernández E., Filter M., Frosini L., Georgiev T., Kakaletris G., Katsivelis P., Knapen R., Lelii L., Lokers R. M., Mangiacrapa F., Manouselis N., Pagano P., Panichi G., Penev L., Sinibaldi F.
The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing, analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the "assets" to be exploited when performing research tasks, for example, data of interest are heterogeneous and scattered across several repositories, the tools modelers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the "whole story" including datasets, processes, and results. This paper presents the AGINFRA PLUS endeavor to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the "assets" of interest and promote collaboration.Source: Concurrency and computation (Online) 33 (2020). doi:10.1002/cpe.6087
DOI: 10.1002/cpe.6087
Project(s): AGINFRA PLUS via OpenAIRE

See at: ISTI Repository Open Access | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | Concurrency and Computation Practice and Experience Restricted | CNR ExploRA Restricted | Concurrency and Computation Practice and Experience Restricted


2020 Report Open Access OPEN

EOSC Coordination Day Report
Lazzeri E., Castelli D., Marino L., Garavelli S., Van Weezel J., Ferguson N.
This document provides the report for the EOSC Coordination Day that was held in Budapest form 28 to 29 November 2019. Thirty EOSC-related projects come together for two days of discussions on how best they can collaborate in order to ensure a smooth implementation of key aspects of the EOSC. Organised by the EOSCsecretariat.eu project, the meeting saw agreement on a number of actions to bring projects closer together and foster the inclusive and collaborative nature of the EOSC. The meeting also followed up on actions agreed at the first EOSC Concertation meeting organised by European Commission in September 2019.Source: ISTI Technical Report, ISTI-2020-TR/028, 2020
DOI: 10.5281/zenodo.3674782
DOI: 10.32079/isti-tr-2020/028
DOI: 10.5281/zenodo.3674781
DOI: 10.5281/zenodo.4519808
Project(s): EOSCsecretariat.eu via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access | ZENODO Open Access


2020 Conference article Open Access OPEN

EOSC as a game-changer in the Social Sciences and Humanities research activities
Castelli D.
This paper aims to give some insights on how the European Open Science Cloud (EOSC) will be able to influence the Social Sciences and Humanities (SSH) sector, thus paving the way towards innovation. Points of discussion on how the LRs and RIs community can contribute to the revolution in the practice of research areas are provided.Source: Workshop about Language Resources for the SSH Cloud, pp. 37–38, 11/05/2020, 16/05/2020
Project(s): EOSCsecretariat.eu via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.aclweb.org Open Access


2020 Report Open Access OPEN

Turning Open Science and Open Innovation into reality
Bassini S., Boccali T., Cacciaguerra S., Castelli D., Celino M., Cocco M., Di Giorgio S., Giorgetti A., Kourousias G., Locati M., Lucchesi D, Migliori S., Pappalardo G., Perini L., Petrillo C., Pugliese R., Rossi G., Ruggieri F., Smareglia R., Tanlongo F.
This document summarises the views expressed by the Italian Computing and Data Initiative (ICDI) in response to the open consultation for the EOSC Strategic Research and Innovation Agenda (SRIA), closed on the 31st of August. It provides insightful input and suggestions about the current draft of the SRIA document shared with the wider EOSC community, with the aim of helping to shape the future vision of the European Open Science Cloud.Source: Commission Report, EOSC-Pillar, pp.1–19, 2020
DOI: 10.5281/zenodo.4062292
DOI: 10.5281/zenodo.4062291
Project(s): EOSC-Pillar via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access


2020 Report Open Access OPEN

FAIR assessement and certification in the EOSC region
Grootveld M., Castelli D.
On Thursday 26th of November the InfraEOSC-5 FAIR data and infrastructure Task Force, set-up by the projects in the INFRAEOSC-05-2018-2019 call: EOSC-synergy, EOSC-Pillar, EOSC-Nordic, NI4OS-Europe, ExPaNDS, FAIRsFAIR, and EOSCsecretariat.eu, organised a special edition of its usual monthly meeting to present to the European Commission the key work being carried out on the topic of FAIR data assessment and certification by the InfraEOSC-5 call funded initiatives. The event was co-organised by the EOSCsecretariat.eu and the FAIRsFAIR initiative and engaged all the InfraEOSC-5 call projects actively involved in the FAIR Task Force with the aim to provide an overview on the tools, challenges, lessons learned and recommendations towards FAIR Assessment and certification of digital objects and data repositories. The meeting also gave a deep-dive into practical use cases that demonstrate the impact of applying the current tools to different communities across Europe and the priorities for the stakeholders involved.Source: ISTI Technical Report, ISTI-2020-TR/029, 2020
DOI: 10.32079/isti-tr-2020/029
Project(s): FAIRsFAIR via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2020 Contribution to book Open Access OPEN

Position statement from Istituto di Scienza e Tecnologie dell'Informazione - National Research Council of Italy (CNR)
Candela L., Castelli D.
This chapter is describing the ISTI-CNR vision and contribution towards the implementation of Digital science infrastructures as collaborative, community-driven resources for Food & Agriculture. In particular, it stress the contribution Virtual Research Environments can give in terms of open science enablers.Source: Digital Science Recommendations for Food and Agriculture, edited by N. Manouselis, pp. 13–14, 2020
DOI: 10.5281/zenodo.3666358
DOI: 10.5281/zenodo.3666357
Project(s): AGINFRA PLUS via OpenAIRE

See at: ZENODO Open Access | ZENODO Open Access | CNR ExploRA Open Access | www.plus.aginfra.eu Open Access


2019 Journal article Open Access OPEN

The gCube system: delivering virtual research environments as-a-service
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Marioli V., Pagano P., Panichi G., Perciante C., Sinibaldi F.
Important changes have characterised research and knowledge production in recent decades. These changes are associated with developments in information technologies and infrastructures. The processes characterising research and knowledge production are changing through the digitalization of science, the virtualisation of research communities and networks, the offering of underlying systems and services by infrastructures. This paper gives an overview of gCube, a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaboration-oriented research tasks. gCube's technology is primarily conceived to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of "mediators" to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios.Source: Future generation computer systems 95 (2019): 445–453. doi:10.1016/j.future.2018.10.035
DOI: 10.1016/j.future.2018.10.035
Project(s): AGINFRA PLUS via OpenAIRE, BlueBRIDGE via OpenAIRE, ENVRI PLUS via OpenAIRE, EOSCpilot via OpenAIRE

See at: ISTI Repository Open Access | Future Generation Computer Systems Open Access | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | Future Generation Computer Systems Restricted | CNR ExploRA Restricted | Future Generation Computer Systems Restricted | www.sciencedirect.com Restricted


2019 Contribution to book Open Access OPEN

Methods and tools for supporting the integration of stocks and fisheries
Tzitzikas Y., Marketakis Y., Minadakis N., Mountantonakis M., Candela L., Mangiacrapa F., Pagano P., Perciante C., Castelli D., Taconet M., Gentile A., Gorelli G.
The collation of information for the monitoring of fish stocks and fisheries is a difficult and time-consuming task, as the information is scattered across different databases and is modelled using different formats and semantics. Our purpose is to offer a unified view of the existing stocks and fisheries information harvested from three different database sources (FIRMS, RAM and FishSource), by relying on innovative data integration and manipulation facilities. In this paper, we describe the building blocks in terms of methods and software components that are necessary for integrating stocks and fisheries data from heterogeneous data sources.Source: Information and Communication Technologies in Modern Agricultural Development, edited by Salampasis M., Bournaris T., pp. 20–34, 2019
DOI: 10.1007/978-3-030-12998-9_2
Project(s): BlueBRIDGE via OpenAIRE

See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | link.springer.com Restricted | link.springer.com Restricted