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Advancing methods in data capture, integration, classification, and liberation

Guest Editors:
Ivan Miguel Serrano Pires, Ph.D.
Instituto de Telecomunicações, Universidade da Beira Interior, Portugal
Eftim Zdravevski, Ph.D.: Saints Cyril and Methodius University, Macedonia

Submission Status: Open   |   Submission Deadline: 1 November 2023


BMC Research Notes is calling for submissions for a Collection focused on advancements and additions to research techniques used in data capture, integration, classification, and liberation. Small changes to a method can produce huge improvements in research efficiency and reproducibility, while new, innovative techniques have the potential to reshape an entire research field.  We'd like to share your advances in methods with the scientific community, to help improve their research and your own.

Meet the Guest Editors

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Ivan Miguel Serrano Pires, Ph.D.Universidade da Beira Interior, Portugal

Ivan Miguel Pires received a B.Sc. in Computer Science and Engineering from the Polytechnic Institute of Castelo Branco in 2010. He obtained his M.Sc. and European Ph.D. in Computer Science and Engineering from the Universidade da Beira Interior (UBI) in 2012 and 2018, respectively. Between February 2019 and September 2019, he frequented a Post-Doctoral Fellowship at C4 - Cloud Computing Competence Centre (UBI), related to Passing Cloud. The subject was conveyed to sensors embedded on mobile devices to monitor traffic warning situations by car. He was an Invited Adjunct Professor at Polytechnic Institute of Viseu between October 2019 and September 2021. Furthermore, he was an Invited Assistant Professor at the University of Tras-os-Montes e Alto Douro between October 2021 and July 2022. His main interests are the application of data fusion and classification techniques of the data acquired from the sensors available in mobile devices for different areas.
 

Eftim Zdravevski, Ph.D.University Sts. Cyril and Methodius, Macedonia
Eftim Zdravevski (Ph.D. in Computer Science 2017, M.Sc. in Computer Science 2010, Dipl. Eng. 2008) is an Assistant Professor and Head of Institute of Intelligent Systems at the Faculty of Computer Science and Engineering of the Saints Cyril and Methodius University in Skopje, Macedonia, where he works since 2010. He’s also a Chief Architect at CogniTrek, Canada and CEO of MAGIX.AI - a company specialized in applied AI in various business domains, including FinTech, Insurance, AdTech, and E-commerce. Previously he was CSO and board member at Viking Analytics Sweden and Director of Machine Learning at Xogito, USA. As part of these companies he has participated in several accelerator events, including TechStars in Oslo, 2018.
 

About the collection

It is estimated that a staggering 2.5 quintillion (2.5x1018) bytes of data are generated across the globe daily, more than any human could hope to process across several lifetimes. Solutions to managing this torrent of information lie with a suite of ever-advancing methods to help collect, order and share data across different user bases as rapidly and efficiently as possible. This Collection, part of a series focused on Advancing Methods, seeks to showcase the myriad of improvements and additions to research techniques used to help improve the capture, integration classification and liberation of data.

We welcome Research Note articles addressing:

  • Novel or improved data capture methods
  • Better processes for data classification and contextualization
  • Methods for integrating data from a variety of sources
  • Improving automatic tagging of data and identifying sensitive information
  • Methods for recognizing relationships between data
  • More efficient ways for users to view and export their data

Commentaries discussing:

  • The history and future of a significant technique or methodology
  • New or Scientifically challenging techniques and their potential
  • Controversial aspects of these methods and how they can be addressed

Image credit: Alex / stock.adobe.com

  1. To assess whether electronic health record (EHR) data text mining can be used to improve register-based heart failure (HF) subtyping. EHR data of 43,405 individuals from two Finnish hospital biobanks were mine...

    Authors: Matti A. Vuori, Tuomo Kiiskinen, Niina Pitkänen, Samu Kurki, Hannele Laivuori, Tarja Laitinen, Sampo Mäntylahti, Aarno Palotie, FinnGen and Teemu J. Niiranen
    Citation: BMC Research Notes 2023 16:208
  2. Social media text mining has been widely used to extract information about the experiences and needs of patients regarding various diseases, especially cancer. Understanding these issues is necessary for furth...

    Authors: Alireza Ardalani and Mojtaba Daneshvar
    Citation: BMC Research Notes 2023 16:179
  3. The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or pr...

    Authors: Rebecca Salles, Victor de Paula Dornellas Ribeiro, Raquel Gritz, Carlos Leonardo Souza Cardoso, Balthazar Paixão, Lucas Carraro, Sérgio Ricardo de Borba Cruz, Vinicius Kreischer, Carmen Lúcia Corrêa Bonifácio, Raphael de Freitas Saldanha, Gabriel Souto, Matheus Miloski, Leandro Zirondi, Gizelton Pereira Alencar, Ariane Camilo Pinheiro Alves, Nelson Niero Neto…
    Citation: BMC Research Notes 2023 16:151
  4. This study investigates the applicability of optimized machine learning (ML) approach for the prediction of Medial tibial stress syndrome (MTSS) using anatomic and anthropometric predictors.

    Authors: Vahid Sobhani, Alireza Asgari, Masoud Arabfard, Zeynab Ebrahimpour and Abolfazl Shakibaee
    Citation: BMC Research Notes 2023 16:126

Submission Guidelines

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This Collection welcomes submissions of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Advancing methods in data capture, integration, classification, and liberation" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.