fix (publications): journaltitle to booktitle and 2023 correct link

_publications/2021-05-06-hallinan.md

@@ -8,7 +8,7 @@ year: "2021"
 ID: "hallinan_international_2021"
 date: "2021-05-06"
 link: "https://www.nature.com/articles/s41431-021-00893-y"
-journaltitle: "European Journal of Human Genetics"
+booktitle: "European Journal of Human Genetics"
 title: 'International transfers of personal data for health research following Schrems {II}: a problem in need of a solution'
 abstract: "On 16 July 2020, the Court of Justice of the European Union issued their decision in the Schrems {II} case concerning Facebook’s transfers of personal data from the {EU} to the {US}. The decision may have significant effects on the legitimate transfer of personal data for health research purposes from the {EU}. This article aims: (i) to outline the consequences of the Schrems {II} decision for the sharing of personal data for health research between the {EU} and third countries, particularly in the context of the {COVID}-19 pandemic; and, (ii) to consider certain options available to address the consequences of the decision and to facilitate international data exchange for health research moving forward."
 publisher: "Nature Publishing Group"

_publications/2021-07-18-borges.md

@@ -8,7 +8,7 @@ year: "2021"
 ID: "borges_addressing_2021"
 date: "2021-07-18"
 link: "https://sol.sbc.org.br/index.php/bresci/article/view/15792"
-journaltitle: "XV Brazilian e-Science Workshop"
+booktitle: "XV Brazilian e-Science Workshop"
 title: 'Addressing search in scientific open data repositories: A semantic metasearch platform'
 abstract: "Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in agriculture."
 publisher: "Brazilian Computing Society - SBC"

_publications/2021-10-04-menuzzo.md

@@ -8,7 +8,7 @@ year: "2021"
 ID: "menuzzo2021evaluating"
 date: "2021-10-04"
 link: "https://sol.sbc.org.br/index.php/sbbd/article/view/17888"
-journaltitle: "XXXVI Simpósio Brasileiro de Bancos de Dados"
+booktitle: "XXXVI Simpósio Brasileiro de Bancos de Dados"
 title: 'Evaluating the cohesion of municipalities’ discourse during the COVID-19 pandemic'
 abstract: "Social media has been used as a method to alert and raise awareness among the population to help fight the {COVID}-19 pandemic. We argue that the discourse of municipalities and their respective mayors may have an influence on the behavior of the population and thus directly impact {COVID}-19 outcomes. This paper analyzes the diversity and cohesion of these discourses through posts published on Facebook, evaluating (i) diversity of topics discussed, (ii) topic evolution, and (iii) deviation from a central discourse. We also combine this information with epidemiological data to assess impact in the outcomes. In particular, we present two different Latent Dirichlet allocation ({LDA}) models to analyze how topics are being discussed by municipalities/mayors and compare how cohesion is related to the evolution of the pandemic. Our initial analysis suggests that municipalities tend to employ a unified discourse as a response to the worsening of epidemic outcomes. The results of our study could help to inform governments of better communication strategies in this and future health crisis."
 publisher: "Brazilian Computing Society - SBC"

_publications/2021-11-12-medeiros.md

@@ -8,7 +8,7 @@ year: "2021"
 ID: "MEDEIROS2021100385"
 date: "2021-11-12"
 link: "https://www.sciencedirect.com/science/article/pii/S266638992100252X"
-journaltitle: "Patterns"
+booktitle: "Patterns"
 title: 'The hidden dimension of open science: “Peopleware”'
 abstract: "In discussing open science, one forgets that its key concept is collaboration, which may be either accelerated or hampered by digital technologies. Collaboration in personal interactions is hard; how much harder, then, is it to collaborate across temporal, geographical, or cultural barriers? Open science can be seen as a worldwide case study on peopleware—a major source of costs, but a huge asset."
 publisher: "Elsevier"

_publications/2021-11-19-gottardi.md

@@ -8,7 +8,7 @@ year: "2021"
 ID: "Gottardi_Bauzer_Medeiros_Dos_Reis_2021"
 date: "2021-11-19"
 link: "https://journals-sol.sbc.org.br/index.php/jidm/article/view/1919"
-journaltitle: "Journal of Information and Data Management"
+booktitle: "Journal of Information and Data Management"
 title: 'Semantic Search to Foster Scientific Findability: A Systematic Literature Review'
 abstract: "One of the main goals of the Open Science movement is to leverage scientific collaboration through, among others, promoting the sharing and reuse of research outputs, such as publications, data and software. Sharing is enabled by public and accessible scientific repositories where these outputs are managed throughout their lifecycle. In this context, finding these digital artifacts has become a key problem. Semantic search mechanisms have risen as a means to solve this issue. However, implementing and integrating them into scientific repositories presents many challenges. This article presents a systematic literature review of research efforts on mechanisms for supporting search for scientific papers, data and processes. Our investigation is based on extracting and analyzing the entire contents of nine digital libraries using the associated search engines – in alphabetical order: ACM Digital Library, arXiV, Engineering Village, IEEE Xplore, SBC OpenLib, Springer Link, Scopus, Wiley Online Library and Web of Science. After retrieving a combined amount of 5012 documents, we identified 2054 unique papers that were used as a basis for our analysis. Our findings provide, among others, a new categorization of literature on search and discuss unexplored gaps, thereby contributing to advancing research on semantic search mechanisms to support Open Science."
 publisher: "Brazilian Computing Society - SBC"

_publications/2023-10-13-santanche.md

@@ -7,8 +7,8 @@ tags: ["Computational modeling","Pipelines","Education","Research initiatives","
 year: "2023"
 ID: "Santanche2023VirtualPatientPlataform"
 date: "2023-10-13"
-link: "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10254792"
-booktitle: "2023 IEEE 19th International Conference on e-Science (e-Science)e"
+link: "https://ieeexplore.ieee.org/abstract/document/10254792"
+booktitle: "2023 IEEE 19th International Conference on e-Science"
 title: "Virtual Patient Platform and Data Space for Sharing, Learning, Discussing, and Researching"
 abstract: "As connected digital health data becomes more readily available, solutions are emerging to shorten the typical 17 years of latency in translating validated health knowledge into clinical practice. Learning Health Systems aims to achieve this goal. However, the proposed systems aim to address health data in a broad spectrum of data type variety. An open challenge is how to combine this variety around unification models. This work addresses a segment of this challenge by exploiting knowledge collected and built around Virtual Patients (VPs). VPs are a promising learning approach, providing interactive computer-based scenarios for solving clinical cases. Debate and resolution of clinical cases form the foundation of medical knowledge sharing and education. However, existing initiatives restrict their focus to a unidirectional method in which educators create these cases and learners play them. In this article, we show that we can expand the VP perspective toward a pivot model, which articulates learning and research initiatives, gathering together health knowledge. Our Jacinto platform and data space for sharing, learning, discussing, and researching clinical cases embodies this VP-centered approach. We present its effectiveness through a series of practical scenarios that explore and combine several knowledge pipelines."
 publisher: "IEEE"
@@ -24,6 +24,7 @@ address: "Limassol, Cyprus"
   number={},
   pages={1-10},
   keywords={Computational modeling;Pipelines;Education;Research initiatives;Electronic healthcare;Medical diagnostic imaging;Electronic learning;Clinical diagnosis;Medical information systems;Virtual patient},
+  url={https://ieeexplore.ieee.org/abstract/document/10254792},
   doi={10.1109/e-Science58273.2023.10254792}}
 
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