2024
Other
Open Access
AIMH Research Activities 2024
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Cassese M., Ciampi L., Coccomini D. A., Concordia C., Connor R., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Iannello L., Negi K., Lagani G., Lenzi E., Leocata M., Malvaldi M., Meghini C., Messina N., Moreo Fernandez A., Nardi A., Pacini G., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Scotti F., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L., Volpi L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is committed to advancing the field of Artificial Intelligence, with a special emphasis on its applications in digital media and the humanities. The lab aims to improve AI technologies, particularly in areas such as deep learning, text analysis, computer vision, multimedia information retrieval, content analysis, recognition, and retrieval. This report summarizes the laboratory’s achievements and activities over the course of 2024.DOI: 10.32079/isti-ar-2024/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Cassese M., Ciampi L., Coccomini D. A., Concordia C., Connor R., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Iannello L., Negi K., Lagani G., Lenzi E., Leocata M., Malvaldi M., Meghini C., Messina N., Moreo Fernandez A., Nardi A., Pacini G., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Scotti F., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L., Volpi L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is committed to advancing the field of Artificial Intelligence, with a special emphasis on its applications in digital media and the humanities. The lab aims to improve AI technologies, particularly in areas such as deep learning, text analysis, computer vision, multimedia information retrieval, content analysis, recognition, and retrieval. This report summarizes the laboratory’s achievements and activities over the course of 2024.DOI: 10.32079/isti-ar-2024/001
Metrics:
2023
Other
Restricted
SUN D1.3 - Data Management and IPR issues
Boi S, Amato G, Vairo C, Casarosa V
This document presents the Data Management Plan (DMP) for the SUN project, outlining the methodology adopted to effectively manage all data collected, generated, or acquired during the project's lifecycle. The DMP encompasses the management of research and non-research data, covering aspects such as collection, storage, sharing, preservation, privacy, ethics, and data interoperability. The DMP also defines rules on intellectual property ownership, access rights to background and results, and the protection of intellectual property rights (IPRs).
Boi S, Amato G, Vairo C, Casarosa V
This document presents the Data Management Plan (DMP) for the SUN project, outlining the methodology adopted to effectively manage all data collected, generated, or acquired during the project's lifecycle. The DMP encompasses the management of research and non-research data, covering aspects such as collection, storage, sharing, preservation, privacy, ethics, and data interoperability. The DMP also defines rules on intellectual property ownership, access rights to background and results, and the protection of intellectual property rights (IPRs).
2023
Other
Open Access
AIMH Research Activities 2023
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is dedicated to exploring and pushing the boundaries in the field of Artificial Intelligence, with a particular focus on its application in digital media and humanities. This lab's objective is to enhance the current state of AI technology particularly on deep learning, text analysis, computer vision, multimedia information retrieval, multimedia content analysis, recognition, and retrieval. This report encapsulates the laboratory's progress and activities throughout the year 2023.DOI: 10.32079/isti-ar-2023/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Bianchi L., Bolettieri P., Bosio C., Carraglia M., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., De Martino C., Di Benedetto M., Esuli A., Falchi F., Fazzari E., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Puccetti G., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C., Versienti L.
The AIMH (Artificial Intelligence for Media and Humanities) laboratory is dedicated to exploring and pushing the boundaries in the field of Artificial Intelligence, with a particular focus on its application in digital media and humanities. This lab's objective is to enhance the current state of AI technology particularly on deep learning, text analysis, computer vision, multimedia information retrieval, multimedia content analysis, recognition, and retrieval. This report encapsulates the laboratory's progress and activities throughout the year 2023.DOI: 10.32079/isti-ar-2023/001
Metrics:
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS 
2022
Other
Open Access
AIMH research activities 2022
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A. D., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.This report summarize the 2022 activities of the research group.DOI: 10.32079/isti-ar-2022/002
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A. D., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.This report summarize the 2022 activities of the research group.DOI: 10.32079/isti-ar-2022/002
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2021
Other
Open Access
AIMH research activities 2021
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Coccomini D., Ciampi L., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activities of the research group.DOI: 10.32079/isti-ar-2021/003
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Coccomini D., Ciampi L., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C.
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activities of the research group.DOI: 10.32079/isti-ar-2021/003
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2020
Other
Open Access
AIMH research activities 2020
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Carrara F., Casarosa V., Ciampi L., Concordia C., Corbara S., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Thanos C., Trupiano L., Vadicamo L., Vairo C.
Annual Report of the Artificial Intelligence for Media and Humanities laboratory (AIMH) research activities in 2020.DOI: 10.32079/isti-ar-2020/001
Metrics:
Aloia N., Amato G., Bartalesi Lenzi V., Benedetti F., Bolettieri P., Carrara F., Casarosa V., Ciampi L., Concordia C., Corbara S., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo Fernandez A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Thanos C., Trupiano L., Vadicamo L., Vairo C.
Annual Report of the Artificial Intelligence for Media and Humanities laboratory (AIMH) research activities in 2020.DOI: 10.32079/isti-ar-2020/001
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2020
Journal article
Open Access
Educational ecosystems for Information Science: The case of the University of Pisa
Casarosa V, Ruggieri S, Salvatori E, Simi M, Turbanti S
Interdisciplinarity is becoming increasingly important in education. With the rapidly evolving job market, an interdisciplinary education can prepare students for the flexibility and broad knowledge base required to adapt. At the University of Pisa, we recognized the value of an interdisciplinary educational environment during our participation in the European project EINFOSE, where we harmonized the entry requirements for master programs in Information Science. Prior to this project, we had been building study programs in Digital Humanities and Data Science, whose intersection organically nurtured a diverse learning space. Through this lens, we will reflect on the obstacles constituted by disciplinary barriers and stress the importance of a flexible and open 'ecosystem' for education. These conclusions will be supported by data analysis on the careers of our students over the last eight years.Source: EDUCATION FOR INFORMATION, vol. 36 (issue 2), pp. 119-138
DOI: 10.3233/efi-190330
DOI: 10.14273/unisa-4017
Metrics:
Casarosa V, Ruggieri S, Salvatori E, Simi M, Turbanti S
Interdisciplinarity is becoming increasingly important in education. With the rapidly evolving job market, an interdisciplinary education can prepare students for the flexibility and broad knowledge base required to adapt. At the University of Pisa, we recognized the value of an interdisciplinary educational environment during our participation in the European project EINFOSE, where we harmonized the entry requirements for master programs in Information Science. Prior to this project, we had been building study programs in Digital Humanities and Data Science, whose intersection organically nurtured a diverse learning space. Through this lens, we will reflect on the obstacles constituted by disciplinary barriers and stress the importance of a flexible and open 'ecosystem' for education. These conclusions will be supported by data analysis on the careers of our students over the last eight years.Source: EDUCATION FOR INFORMATION, vol. 36 (issue 2), pp. 119-138
DOI: 10.3233/efi-190330
DOI: 10.14273/unisa-4017
Metrics:
See at:
Education for Information | content.iospress.com | CNR IRIS | ISTI Repository | doi.org | Education for Information | CNR IRIS
2019
Conference article
Open Access
Foundations of a framework for peer-reviewing the research flow
Bardi A, Casarosa V, Manghi P
Traditionally, peer-review focuses on the evaluation of scientific publications, literature products that describe the research process and its final results in natural language. The adoption of ICT technologies in support of science introduces new opportunities to support transparent evaluation, thanks to the possibility of sharing research products, even inputs, intermediate and negative results, repetition and reproduction of the research activities conducted in a digital laboratory. Such innovative shift also sets the condition for novel peer review methodologies, as well as scientific reward policies, where scientific results can be transparently and objectively assessed via machine-assisted processes. This paper presents the foundations of a framework for the representation of a peer-reviewable research flow for a given discipline of science. Such a framework may become the scaffolding enabling the development of tools for supporting ongoing peer review of research flows. Such tools could be "hooked", in real time, to the underlying digital laboratory, where scientists are carrying out their research flow, and they would abstract over the complexity of the research activity and offer user-friendly dashboards.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 195-208. Pisa, Italy, 31 January - 01 February 2019
DOI: 10.1007/978-3-030-11226-4_16
DOI: 10.5281/zenodo.2554859
DOI: 10.5281/zenodo.1493152
DOI: 10.5281/zenodo.2554858
DOI: 10.5281/zenodo.1493151
Project(s): OpenUP
Metrics:
Bardi A, Casarosa V, Manghi P
Traditionally, peer-review focuses on the evaluation of scientific publications, literature products that describe the research process and its final results in natural language. The adoption of ICT technologies in support of science introduces new opportunities to support transparent evaluation, thanks to the possibility of sharing research products, even inputs, intermediate and negative results, repetition and reproduction of the research activities conducted in a digital laboratory. Such innovative shift also sets the condition for novel peer review methodologies, as well as scientific reward policies, where scientific results can be transparently and objectively assessed via machine-assisted processes. This paper presents the foundations of a framework for the representation of a peer-reviewable research flow for a given discipline of science. Such a framework may become the scaffolding enabling the development of tools for supporting ongoing peer review of research flows. Such tools could be "hooked", in real time, to the underlying digital laboratory, where scientists are carrying out their research flow, and they would abstract over the complexity of the research activity and offer user-friendly dashboards.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 195-208. Pisa, Italy, 31 January - 01 February 2019
DOI: 10.1007/978-3-030-11226-4_16
DOI: 10.5281/zenodo.2554859
DOI: 10.5281/zenodo.1493152
DOI: 10.5281/zenodo.2554858
DOI: 10.5281/zenodo.1493151
Project(s): OpenUP
Metrics:
See at:
ZENODO | ZENODO | ZENODO | ZENODO | CNR IRIS | link.springer.com | ISTI Repository | zenodo.org | doi.org | CNR IRIS | CNR IRIS
2018
Conference article
Open Access
The European project OpenUP: OPENing UP new methods, indicators and tools for peer review, impact measurement and dissemination of research results
Bardi A, Casarosa V, Manghi P
Open Access and Open Scholarship are substantially changing the way scholarly artefacts are evaluated, published and assessed, while the introduction of new technologies and media in scientific workflows has changed the ``how and to whom'' science is communicated, and how stakeholders interact with the scientific community. OpenUP addresses key aspects and challenges of the currently transforming science landscape. Its main objectives are to: (i) identify and determine new mechanisms, processes and tools for the peer-review of all types of research results (publications, data, software, processes, etc.); (ii) explore, identify and classify innovative dissemination mechanisms with an outreach aim towards businesses and industry, education, and society as a whole; (iii) analyse and identify a set of novel indicators that assess the impact of research results and correlate them to channels of dissemination.DOI: 10.1007/978-3-319-73165-0_24
Project(s): OpenUP
Metrics:
Bardi A, Casarosa V, Manghi P
Open Access and Open Scholarship are substantially changing the way scholarly artefacts are evaluated, published and assessed, while the introduction of new technologies and media in scientific workflows has changed the ``how and to whom'' science is communicated, and how stakeholders interact with the scientific community. OpenUP addresses key aspects and challenges of the currently transforming science landscape. Its main objectives are to: (i) identify and determine new mechanisms, processes and tools for the peer-review of all types of research results (publications, data, software, processes, etc.); (ii) explore, identify and classify innovative dissemination mechanisms with an outreach aim towards businesses and industry, education, and society as a whole; (iii) analyse and identify a set of novel indicators that assess the impact of research results and correlate them to channels of dissemination.DOI: 10.1007/978-3-319-73165-0_24
Project(s): OpenUP
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | ZENODO | zenodo.org | Communications in Computer and Information Science | CNR IRIS | CNR IRIS
2018
Conference article
Open Access
Who is the data curator? Defining a vocabulary
Tammaro Am, Casarosa V
In 2016, the IFLA Section Library Theory and Research has (partially) funded the research project "Data curator who is s/he?" to clarify the profile of data curator. The main goal of the project was to define characteristics of roles and responsibilities of data curators in the international and interdisciplinary contexts. The research questions of the Project were: R1: How is data curation defined by practitioners/professional working in the field?; R2: What terms are used to describe the roles for professionals in data curation area?; R3: What are primary roles and responsibilities of data curators?; R4: What are educational qualifications and competencies required of data curators? In this paper we present briefly some of the results related to research questions R1 and R2, namely what terms are used to describe the roles for professionals in data curation area.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 249-255. Udine, Italy, 25-26/01/2018
DOI: 10.1007/978-3-319-73165-0_25
Metrics:
Tammaro Am, Casarosa V
In 2016, the IFLA Section Library Theory and Research has (partially) funded the research project "Data curator who is s/he?" to clarify the profile of data curator. The main goal of the project was to define characteristics of roles and responsibilities of data curators in the international and interdisciplinary contexts. The research questions of the Project were: R1: How is data curation defined by practitioners/professional working in the field?; R2: What terms are used to describe the roles for professionals in data curation area?; R3: What are primary roles and responsibilities of data curators?; R4: What are educational qualifications and competencies required of data curators? In this paper we present briefly some of the results related to research questions R1 and R2, namely what terms are used to describe the roles for professionals in data curation area.Source: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 249-255. Udine, Italy, 25-26/01/2018
DOI: 10.1007/978-3-319-73165-0_25
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | doi.org | CNR IRIS | CNR IRIS
2017
Journal article
Open Access
The Key Role of the DELOS Network of Excellence in Establishing Digital Libraries as a Research Field in Europe
Thanos C, Casarosa V
It was only in the mid-1990s that Digital Libraries became a research topic in Europe. The European Union was then instrumental in supporting and promoting the subject. One key element of that support was the establishment of the DELOS Network of Excellence. Its central role in the development of digital libraries in the period 1997-2007 in Europe and its contributions areoutlined in this paper.Source: THE LIBER QUARTERLY, vol. 26 (issue 4), pp. 296-307
DOI: 10.18352/lq.10165
Metrics:
Thanos C, Casarosa V
It was only in the mid-1990s that Digital Libraries became a research topic in Europe. The European Union was then instrumental in supporting and promoting the subject. One key element of that support was the establishment of the DELOS Network of Excellence. Its central role in the development of digital libraries in the period 1997-2007 in Europe and its contributions areoutlined in this paper.Source: THE LIBER QUARTERLY, vol. 26 (issue 4), pp. 296-307
DOI: 10.18352/lq.10165
Metrics:
See at:
Liber Quarterly: The Journal of European Research Libraries | CNR IRIS | liberquarterly.eu | DOAJ-Articles | ISTI Repository | DOAJ-Articles | DOAJ-Articles | CNR IRIS
2017
Contribution to conference
Open Access
Peer-review of the research flow
Bardi A, Casarosa V, Manghi P
An increasing number of researchers use ICT tools for the production and processing of research outcomes. In the last decade, research infrastructures (organizational and technological facilities supporting research activities) are investing in "e-infrastructures" that leverage ICT tools, services, guidelines and policies to support the digital practices of their community of researchers. e-infrastructures are the place where researchers can define the boundaries of their digital laboratories, i.e. the subset of assets they use to run an experiment. Researchers run their digital experiments (e.g. simulations, data analysis) taking advantage of the digital laboratory assets and generate new research data and computational products (e.g. software, R algorithms, computational workflows) that can be shared with other researchers of the same community, to be discovered, accessed and reused. The role of digital laboratories is therefore twofold: on the one hand, they support researchers in their advancement of science, offering the facilities needed for their daily activities; on the other hand, they foster the dissemination of research output within the research community, supporting discovery, access to, sharing, and reuse of digital research products, including intermediate results of a research flow. Those features are fundamental for an effective implementation of the Open Science paradigm. Digital laboratories set the conditions for novel peer review methodologies, as well as scientific reward policies, which assess the research flow not only based on the scientific article that describes the final results, but also include the other (intermediate) research products (data, software, workflows, negative results) so that science can be transparently and objectively assessed, possibly using machine-assisted processes. The presentation will describe our vision of a "research flow peer review", trying to identify current solutions and existing challenges, and proposing future directions. The implementation of a full-fledged research flow peer review methodology has requirements (tools and practices) that differ from those identified in Open Science for reproducibility. Reproducibility of science and its underlying principles are crucial to support transparent peer review, but existing practices are not enough to fully address research flow peer review. In order to support this kind of peer review, reviewers should evaluate science by means of a user-friendly environment, which transparently relies on the underlying digital laboratory assets, hides their ICT complexity, and gives guarantees of repeatability and reproducibility recognised by the community. We propose some ideas in the direction of the definition of a general framework for the representation of a research flow peer review, which could then be tailored to a given discipline of science. Such a framework may become a scaffolding for holding new discipline-specific tools, which in turn should become "real-time hooks" in the underlying digital laboratory (where scientists are carrying out their research flow), providing the collection of data and information useful for the peer review. Such tools should abstract over the complexity of the specific research activity and offer user-friendly dashboards to examine the scientific process adopted, explore the ongoing research flow, and evaluate its intermediate experiments and relative productsProject(s): OpenUP
Bardi A, Casarosa V, Manghi P
An increasing number of researchers use ICT tools for the production and processing of research outcomes. In the last decade, research infrastructures (organizational and technological facilities supporting research activities) are investing in "e-infrastructures" that leverage ICT tools, services, guidelines and policies to support the digital practices of their community of researchers. e-infrastructures are the place where researchers can define the boundaries of their digital laboratories, i.e. the subset of assets they use to run an experiment. Researchers run their digital experiments (e.g. simulations, data analysis) taking advantage of the digital laboratory assets and generate new research data and computational products (e.g. software, R algorithms, computational workflows) that can be shared with other researchers of the same community, to be discovered, accessed and reused. The role of digital laboratories is therefore twofold: on the one hand, they support researchers in their advancement of science, offering the facilities needed for their daily activities; on the other hand, they foster the dissemination of research output within the research community, supporting discovery, access to, sharing, and reuse of digital research products, including intermediate results of a research flow. Those features are fundamental for an effective implementation of the Open Science paradigm. Digital laboratories set the conditions for novel peer review methodologies, as well as scientific reward policies, which assess the research flow not only based on the scientific article that describes the final results, but also include the other (intermediate) research products (data, software, workflows, negative results) so that science can be transparently and objectively assessed, possibly using machine-assisted processes. The presentation will describe our vision of a "research flow peer review", trying to identify current solutions and existing challenges, and proposing future directions. The implementation of a full-fledged research flow peer review methodology has requirements (tools and practices) that differ from those identified in Open Science for reproducibility. Reproducibility of science and its underlying principles are crucial to support transparent peer review, but existing practices are not enough to fully address research flow peer review. In order to support this kind of peer review, reviewers should evaluate science by means of a user-friendly environment, which transparently relies on the underlying digital laboratory assets, hides their ICT complexity, and gives guarantees of repeatability and reproducibility recognised by the community. We propose some ideas in the direction of the definition of a general framework for the representation of a research flow peer review, which could then be tailored to a given discipline of science. Such a framework may become a scaffolding for holding new discipline-specific tools, which in turn should become "real-time hooks" in the underlying digital laboratory (where scientists are carrying out their research flow), providing the collection of data and information useful for the peer review. Such tools should abstract over the complexity of the specific research activity and offer user-friendly dashboards to examine the scientific process adopted, explore the ongoing research flow, and evaluate its intermediate experiments and relative productsProject(s): OpenUP
See at:
CNR IRIS | indico.egi.eu | ISTI Repository | CNR IRIS
2017
Other
Restricted
OpenUP - A specification of the scientific method and scientific communication
Manghi P, Bardi A, Casarosa V
This deliverable aims at shedding some light on scientific peer review in the era of digital science, which in our view goes beyond reviewing scholarly literature. In the Digital Era not only the final outcome of the research process, i.e. the scientific publication, but potentially also other research products generated at other stages of the research workflow can be subject to review by peers. The adoption of ICT technologies in support of science introduces unprecedented benefits, which can be mainly identified in: (i) the ability of sharing an online "digital laboratory", i.e. tools, applications, services used to perform science, and (ii) the ability of sharing research products used as input or produced in the context of a digital laboratory. An example of (i) may be RStudio, a desktop tool to run R scripts, made available for download from some Web repository, while an example of (ii) may be the specific R script created by a scientist as result of his/her research activity, made available to other researchers through the digital laboratory. Accordingly, scientists can not only publish literature describing their findings but also share the entities they used and that are required to repeat and reproduce science. Such innovative shift also sets the condition for novel peer review methodologies, as well as scientific reward policies, where scientific results can be transparently and objectively assessed via machine-assisted processes. In this deliverable we describe our vision of "research flow peer review" as a urgent and demanded practice, identifying related challenges, current solutions, and proposing future directions.Project(s): OpenUP
Manghi P, Bardi A, Casarosa V
This deliverable aims at shedding some light on scientific peer review in the era of digital science, which in our view goes beyond reviewing scholarly literature. In the Digital Era not only the final outcome of the research process, i.e. the scientific publication, but potentially also other research products generated at other stages of the research workflow can be subject to review by peers. The adoption of ICT technologies in support of science introduces unprecedented benefits, which can be mainly identified in: (i) the ability of sharing an online "digital laboratory", i.e. tools, applications, services used to perform science, and (ii) the ability of sharing research products used as input or produced in the context of a digital laboratory. An example of (i) may be RStudio, a desktop tool to run R scripts, made available for download from some Web repository, while an example of (ii) may be the specific R script created by a scientist as result of his/her research activity, made available to other researchers through the digital laboratory. Accordingly, scientists can not only publish literature describing their findings but also share the entities they used and that are required to repeat and reproduce science. Such innovative shift also sets the condition for novel peer review methodologies, as well as scientific reward policies, where scientific results can be transparently and objectively assessed via machine-assisted processes. In this deliverable we describe our vision of "research flow peer review" as a urgent and demanded practice, identifying related challenges, current solutions, and proposing future directions.Project(s): OpenUP
2017
Contribution to book
Open Access
Expressing Needs of Digital Audio-Visual Applications in Different Communities of Practice for Long-Term Preservation
Kumar N, Casarosa V
Lack of awareness on preservation tools and applications is a big issue today. To solve it European Commission has initiated research project, Presto4U that aimed to enable semi-automatic matching of preservation tools with audio-visual needs. To express the audio-visual needs formally it has mapped a knowledge schema. The knowledge schema was first cut and needed evaluation in terms of its ability to represent the Needs of different communities of practice, classes, their association and ability to represent requirements of Audio-visual community through properties of its classes. This evaluative study is conducted through Qualitative research approach using Interview and Questionnaire. Open Archival Information System reference model is used as theoretical framework. Fourteen members from Europe of three communities of practice have provided their needs for analysis. Data was analysed through six stages. The study found that knowledge schema is useful to express the needs of communities of practice but collected data should easily fit into the structure of knowledge schema.DOI: 10.4018/978-1-5225-1653-8.ch004
DOI: 10.4018/978-1-5225-6921-3.ch011
Metrics:
Kumar N, Casarosa V
Lack of awareness on preservation tools and applications is a big issue today. To solve it European Commission has initiated research project, Presto4U that aimed to enable semi-automatic matching of preservation tools with audio-visual needs. To express the audio-visual needs formally it has mapped a knowledge schema. The knowledge schema was first cut and needed evaluation in terms of its ability to represent the Needs of different communities of practice, classes, their association and ability to represent requirements of Audio-visual community through properties of its classes. This evaluative study is conducted through Qualitative research approach using Interview and Questionnaire. Open Archival Information System reference model is used as theoretical framework. Fourteen members from Europe of three communities of practice have provided their needs for analysis. Data was analysed through six stages. The study found that knowledge schema is useful to express the needs of communities of practice but collected data should easily fit into the structure of knowledge schema.DOI: 10.4018/978-1-5225-1653-8.ch004
DOI: 10.4018/978-1-5225-6921-3.ch011
Metrics:
See at:
oda.oslomet.no | doi.org | doi.org | CNR IRIS | CNR IRIS | www.igi-global.com
2016
Journal article
Open Access
EAGLE - L'infrastruttura di aggregazione dei dati e i servizi a supporto del portale e delle applicazioni
Mannocci A, Casarosa V, Manghi P, Zoppi F
Epigraphic archives, containing collections of editions about ancient Greek and Latin inscriptions, have been created in several European countries during the last couple of centuries. Today, the project EAGLE (Europeana network of Ancient Greek and Latin Epigraphy, a Best Practice Network partially funded by the European Commission) provides a single access point for the content of about 15 epigraphic archives, totaling about 1,5M digital objects. This paper illustrates some of the challenges encountered and their solution for the realization of the EAGLE data infrastructure. The challenges mainly concern the harmonization, interoperability and service integration issues caused by the aggregation of metadata from heterogeneous archives (different data models and metadata schemas, and exchange formats). EAGLE has defined a common data model for epigraphic information, into which data models from different archives can be optimally mapped. The data infrastructure is based on the D-NET software toolkit, capable of dealing with data collection, mapping, clean-ing, indexing, and access provisioning through web portals or standard access protocols.Source: FORMA URBIS, vol. XXI (issue 1), pp. 18-21
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Mannocci A, Casarosa V, Manghi P, Zoppi F
Epigraphic archives, containing collections of editions about ancient Greek and Latin inscriptions, have been created in several European countries during the last couple of centuries. Today, the project EAGLE (Europeana network of Ancient Greek and Latin Epigraphy, a Best Practice Network partially funded by the European Commission) provides a single access point for the content of about 15 epigraphic archives, totaling about 1,5M digital objects. This paper illustrates some of the challenges encountered and their solution for the realization of the EAGLE data infrastructure. The challenges mainly concern the harmonization, interoperability and service integration issues caused by the aggregation of metadata from heterogeneous archives (different data models and metadata schemas, and exchange formats). EAGLE has defined a common data model for epigraphic information, into which data models from different archives can be optimally mapped. The data infrastructure is based on the D-NET software toolkit, capable of dealing with data collection, mapping, clean-ing, indexing, and access provisioning through web portals or standard access protocols.Source: FORMA URBIS, vol. XXI (issue 1), pp. 18-21
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
See at:
CNR IRIS | www.formavrbis.com | CNR IRIS
2015
Other
Open Access
EAGLE - Second Release of AIM Infrastructure (version 1.0)
Zoppi F, Amato G, Bolettieri P, Falchi F, Manghi P, Mannocci A, Casarosa V
This document describes the final implementation (Release 2) of the EAGLE Aggregation and Image Retrieval system (AIM) Infrastructure in terms of: . Current implementation against the specification given in "D4.1 AIM Infrastructure Specification" (Section 1). . Details about the Metadata Aggregation System (Section 2). . Details about the Image Retrieval System (Section 3). . HW & SW requirements of the AIM (Appendix A). . Sample of the Content Checker Curation Tool (Appendix B). . Image Recognition and Similarity Search API (Appendix C). This document being just a Release Note produced as accompanying document of the AIM infrastructure software (D4.2.2, deliverable of type "Product"), please refer to the released document "D4.1 AIM Infrastructure Specification" for details about the full featured AIM Infrastructure.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Zoppi F, Amato G, Bolettieri P, Falchi F, Manghi P, Mannocci A, Casarosa V
This document describes the final implementation (Release 2) of the EAGLE Aggregation and Image Retrieval system (AIM) Infrastructure in terms of: . Current implementation against the specification given in "D4.1 AIM Infrastructure Specification" (Section 1). . Details about the Metadata Aggregation System (Section 2). . Details about the Image Retrieval System (Section 3). . HW & SW requirements of the AIM (Appendix A). . Sample of the Content Checker Curation Tool (Appendix B). . Image Recognition and Similarity Search API (Appendix C). This document being just a Release Note produced as accompanying document of the AIM infrastructure software (D4.2.2, deliverable of type "Product"), please refer to the released document "D4.1 AIM Infrastructure Specification" for details about the full featured AIM Infrastructure.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2015
Conference article
Open Access
Searching the EAGLE epigraphic material through image recognition via a mobile device
Bolettieri P, Casarosa V, Falchi F, Vadicamo L, Martineau P, Orlandi S, Santucci R
This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has developed also a mobile application to enable tourists and scholars to obtain detailed information about the inscriptions they are looking at by taking pictures with their smartphones and sending them to the EAGLE portal for recognition. In this demonstration paper we describe the EAGLE mobile application and give an outline of its features and its architecture.DOI: 10.1007/978-3-319-25087-8_35
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Metrics:
Bolettieri P, Casarosa V, Falchi F, Vadicamo L, Martineau P, Orlandi S, Santucci R
This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has developed also a mobile application to enable tourists and scholars to obtain detailed information about the inscriptions they are looking at by taking pictures with their smartphones and sending them to the EAGLE portal for recognition. In this demonstration paper we describe the EAGLE mobile application and give an outline of its features and its architecture.DOI: 10.1007/978-3-319-25087-8_35
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | doi.org | CNR IRIS | CNR IRIS
2015
Contribution to book
Open Access
The EAGLE Europeana network of Ancient Greek and Latin Epigraphy: a technical perspective
Mannocci A, Casarosa V, Manghi P, Zoppi F
The project EAGLE (Europeana network of Ancient Greek and Latin Epigraphy, a Best Practice Network partially funded by the European Commission) aims at aggregating epigraphic material provided by some 15 different epigraphic archives (about 80% of the classified epigraphic material from the Mediterranean area) for ingestion to Europeana. The collected material will be made available also to the scholarly community and to the general public, for research and cultural dissemination. This paper briefly presents the main services provided by EAGLE and the challenges encountered for the aggregation of material coming from heterogeneous archives (different data models and metadata schemas, and exchange formats). EAGLE has defined a common data model for epigraphic information, into which data models from different archives can be optimally mapped. The data infrastructure is based on the D-NET software toolkit, capable of dealing with data collection, mapping, cleaning, indexing, and access provisioning through web portals or standard access protocols.DOI: 10.1007/978-3-319-41938-1_8
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Metrics:
Mannocci A, Casarosa V, Manghi P, Zoppi F
The project EAGLE (Europeana network of Ancient Greek and Latin Epigraphy, a Best Practice Network partially funded by the European Commission) aims at aggregating epigraphic material provided by some 15 different epigraphic archives (about 80% of the classified epigraphic material from the Mediterranean area) for ingestion to Europeana. The collected material will be made available also to the scholarly community and to the general public, for research and cultural dissemination. This paper briefly presents the main services provided by EAGLE and the challenges encountered for the aggregation of material coming from heterogeneous archives (different data models and metadata schemas, and exchange formats). EAGLE has defined a common data model for epigraphic information, into which data models from different archives can be optimally mapped. The data infrastructure is based on the D-NET software toolkit, capable of dealing with data collection, mapping, cleaning, indexing, and access provisioning through web portals or standard access protocols.DOI: 10.1007/978-3-319-41938-1_8
Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Metrics:
See at:
CNR IRIS | link.springer.com | doi.org | CNR IRIS
2015
Conference article
Open Access
The EAGLE data aggregator: data quality monitoring
Mannocci A, Casarosa V, Manghi P, Zoppi F
The EAGLE project aggregates epigraphy related content from about 20 different data providers, and makes its content available to both Europeana and to scholars. Data Quality monitoring is a key issue in Aggregative Data Infrastructures, where content is collected from a number of different sources with different data models and quality standards. This paper presents a Monitoring Framework for enabling the observation and monitoring of an aggregative infrastructure focusing on the description of the Data Flow and Dynamics Service, and exemplifying these concepts with a use case tailored to the characteristics of the EAGLE aggregation data flow. An Infrastructure Quality Manager (IQM) is provided with a Web user interface (WebUI), allowing her to describe the data flows taking place in the infrastructure and to define monitoring scenarios. The scenarios will include the definition of sensors (pieces of software plugged into the data flow), which will provide observations of measured objects. The scenarios include also the definition of controls and analysers, which will store and process the observations received from the sensors and will verify if the values of the measured features comply with some expected behaviour over time. A monitoring scenario for EAGLE has been defined and tested on simulated data (the monitoring framework is still under development) in order to monitor the "health" of different data collections involved in the EAGLE collection and transformation workflows.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Mannocci A, Casarosa V, Manghi P, Zoppi F
The EAGLE project aggregates epigraphy related content from about 20 different data providers, and makes its content available to both Europeana and to scholars. Data Quality monitoring is a key issue in Aggregative Data Infrastructures, where content is collected from a number of different sources with different data models and quality standards. This paper presents a Monitoring Framework for enabling the observation and monitoring of an aggregative infrastructure focusing on the description of the Data Flow and Dynamics Service, and exemplifying these concepts with a use case tailored to the characteristics of the EAGLE aggregation data flow. An Infrastructure Quality Manager (IQM) is provided with a Web user interface (WebUI), allowing her to describe the data flows taking place in the infrastructure and to define monitoring scenarios. The scenarios will include the definition of sensors (pieces of software plugged into the data flow), which will provide observations of measured objects. The scenarios include also the definition of controls and analysers, which will store and process the observations received from the sensors and will verify if the values of the measured features comply with some expected behaviour over time. A monitoring scenario for EAGLE has been defined and tested on simulated data (the monitoring framework is still under development) in order to monitor the "health" of different data collections involved in the EAGLE collection and transformation workflows.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
2014
Contribution to book
Restricted
Closing the gap: interdisciplinary perspectives on research and education for digital libraries
Tammaro Am, Casarosa V, Castelli D
Two major themes continue to be a subject of discussion when dealing with digital libraries: how should the education programs in LIS (Library and In- formation Science) schools be changed or updated in order to provide the needed knowledge (skills ?) for librarians in the digital age and, closely related, how could the three major memory institutions (libraries, archives and museums) de- fine common educational curricula for professionals in the three domains, now that the digital age is blurring the boundaries between the three profession. In this paper we will present some considerations about the first topic, in order to share the experience gained through the organization and the participation in five events, having as theme the educational needs of the new librarians and the possi- ble synergies of research and education in the field of digital libraries. It is hoped that it can serve as a further stimulus for discussions and for the definition of possible common actions in the digital libraries community.DOI: 10.1007/978-3-642-54347-0_20
Metrics:
Tammaro Am, Casarosa V, Castelli D
Two major themes continue to be a subject of discussion when dealing with digital libraries: how should the education programs in LIS (Library and In- formation Science) schools be changed or updated in order to provide the needed knowledge (skills ?) for librarians in the digital age and, closely related, how could the three major memory institutions (libraries, archives and museums) de- fine common educational curricula for professionals in the three domains, now that the digital age is blurring the boundaries between the three profession. In this paper we will present some considerations about the first topic, in order to share the experience gained through the organization and the participation in five events, having as theme the educational needs of the new librarians and the possi- ble synergies of research and education in the field of digital libraries. It is hoped that it can serve as a further stimulus for discussions and for the definition of possible common actions in the digital libraries community.DOI: 10.1007/978-3-642-54347-0_20
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | link.springer.com