Special issue: Proceedings of the 15th ISIC - The Information Behaviour Conference, Aalborg, Denmark, August 26-29, 2024

“…Garwood The reading practices of people with neuropsychiatric disabilities: a review of library and information science literature Katarina Hagberg, Karin Lundin, Anna Lundh, Åse Hedemark Representational exchange and edgework: towards theorising the coping with fragmentary information Isto Huvila Digital health applications and health literacy: an explorative analysis Aylin Imeri, Sabrina Schorr, Sebastian Merkel To share or not to share? Image data sharing in the social sciences and humanities Elina Late, Mette Skov, Sanna Kumpulainen Analysing humanities scholars’ data seeking behaviour patterns using Ellis' model Wenqi Li, Pengyi Zhang, Jun Wang Can ChatGPT provide health information as physicians do? …”
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Epilepsy care pathway: The Finnish model by Reetta Kälviäinen, Zakarya Hadj‐Allal, Jarkko Kirjavainen, Reina Roivainen, Tarja Linnankivi, Jukka Peltola, Kai Eriksson, Salla Lamusuo, Tuire Lähdesmäki, Johanna Annunen, Päivi Vieira, Virpi Tarkiainen, Leena Jutila, Anni Saarela, Leena Kämppi, Liisa Metsähonkala, Eija Gaily, Niina Lähde, Jaana Antinmaa, Sini Erme, Anna‐Leena Pirttisalo, Jari Virolainen, Milla Ylijoki, Laura Kela, Jonna Komulainen‐Ebrahim, Paula Sorjonen, Finnish Severe Epilepsy Coordination Group

“…To improve outcomes, we emphasize the use of modern digital tools, data sharing, and peer support.…”
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MalAware: A tabletop exercise for malware security awareness education and incident response training by Giddeon Angafor, Iryna Yevseyeva, Leandros Maglaras

“…Despite that, this interconnectivity and data sharing between systems and devices over the internet poses security and privacy risks as threat actors can intercept, steal, and use owners’ data for nefarious purposes. …”
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Workflow for detecting biomedical articles with underlying open and restricted-access datasets. by Anastasiia Iarkaeva, Vladislav Nachev, Evgeny Bobrov

“…Here, we describe in detail our screening procedure and its validation, based on automated screening of 11035 biomedical research articles, of which 1381 articles with potential data sharing were subsequently screened manually. The screening results were highly reliable, as witnessed by inter-rater reliability values of ≥0.8 (Krippendorff's alpha) in two different validation samples. …”
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Block level cloud data deduplication scheme based on attribute encryption by Wenting GE, Weihai LI, Nenghai YU

“…Due to the existing cloud data deduplication schemes mainly focus on file-level deduplication.A scheme was proposed, based on attribute encryption, to support data block-level weight removal.Double granularity weight removal was performed for both file-level and data block-level, and data sharing was achieved through attribute encryption.The algorithm was designed on the hybrid cloud architecture Repeatability detection and consistency detection were conducted by the private cloud based on file labels and data block labels.A Merkle tree was established based on block-level labels to support user ownership proof.When a user uploaded the cipher text, the private cloud utilized linear secret sharing technology to add access structures and auxiliary information to the cipher text.It also updated the overall cipher text information for new users with permissions.The private cloud served as a proxy for re-encryption and proxy decryption, undertaking most of the calculation when the plaintext cannot be obtained, thereby reducing the computing overhead for users.The processed cipher text and labels were stored in the public cloud and accessed by the private cloud.Security analysis shows that the proposed scheme can achieve PRV-CDA (Privacy Choose-distribution attacks) security in the private cloud.In the simulation experiment, four types of elliptic curve encryption were used to test the calculation time for key generation, encryption, and decryption respectively, for different attribute numbers with a fixed block size, and different block sizes with a fixed attribute number.The results align with the characteristics of linear secret sharing.Simulation experiments and cost analysis demonstrate that the proposed scheme can enhance the efficiency of weight removal and save time costs.…”
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Frequency Resource Sharing and Allocation Scheme Based on Coalition Formation Game in Hybrid D2D-Cellular Network by Qing Ou, Rongqing Zhang, Xi Luan, Yuxin Cheng, Jun Wu, Jianjun Wu

“…Taking the cost for coalition formation into account, such as the path loss for data sharing, we prove that the core of the proposed game is empty, which shows the impossibility of grand coalition. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
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Metadata functional requirements for genomic data practice and curation by Hong Huang, Jian Qin

“…Architectural layout as flat file needs extra administrative metadata to support data sharing and documentation. The resulting metadata requirement model can serve as valuable resources to genome scientists, data curators and administrators for designing metadata schema and developing data-curation policies.…”
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Developing airport management practices towards net zero emissions: Experiences from the Australian aviation industry by Manori Dissanayaka, Tim Ryley, Bojana Spasojevic, Savindi Caldera

“…After reviewing environmental policies and reports from eight major airports and conducting in-depth interviews with 18 sustainable aviation experts, five key strategies are proposed: 1) Collaborating data-sharing among stakeholders, including airport operators, ground handlers, airlines and air traffic controllers; 2) Evaluating emissions from aircraft ground idling delays; 3) Advancing in the Airport Carbon Accreditation program; 4) Assessing air pollutant emissions directly emitted from airport sources; 5) Maintaining an air pollutant emissions inventory. …”
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Antibiotics Profile, Prevalence of Extended-Spectrum Beta-Lactamase (ESBL), and Multidrug-Resistant Enterobacteriaceae from Different Clinical Samples in Khartoum State, Sudan by Ehssan H. Moglad

“…Active antimicrobial-resistant (AMR) observation through constant data sharing and management of all stakeholders is crucial to recognize and control the AMR global burden. …”
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Blockchain Applications in the Military Domain: A Systematic Review by Nikos Kostopoulos, Yannis C. Stamatiou, Constantinos Halkiopoulos, Hera Antonopoulou

“…Key areas analyzed include the role of blockchain in securing communications, fostering transparency, promoting real-time data sharing, and using smart contracts for maintenance management. …”
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THE ANALYSIS OF THE KEY DRIVERS AND BARRIERS OF CLOUD MIGRATION IN COMPANIES IN BOSNIA AND HERZEGOVINA by Kasim Tatić, Zijad Džafić, Mahir Haračić, Merima Haračić

“…According to the re-search results, the respondents believe the key drivers of cloud migration comprise the following: improving effi-ciency, enabling more extensive data sharing capabilities, improving security, increasing innovations, reducing costs. …”
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Coordinated One Health investigation and management of outbreaks in humans and animals caused by zoonotic avian influenza viruses by Theresa Enkirch, Andrea Gervelmeyer, Luisa Hallmaier‐Wacker, Angeliki Melidou, Katriina Willgert

“…By presenting each scenario alongside the integrated actions of stakeholders, the report identifies critical development needs, such as tools (e.g. communication and data sharing platforms); key points for information exchange across sectors, triggers for joint risk assessments, and gaps in existing knowledge. …”
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The Impact of Data Control and Delayed Discounting on the Public’s Willingness to Share Different Types of Health Care Data: Empirical Study by Dongle Wei, Pan Gao, Yunkai Zhai

“…ResultsOur findings indicate that the type of health data does not significantly affect the perceived benefits of data sharing. Instead, it negatively influences willingness to share by indirectly affecting data acquisition costs and perceived risks. …”
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swaRmverse: An R package for the comparative analysis of collective motion by Marina Papadopoulou, Simon Garnier, Andrew J. King

“…The package allows the calculation and use of complex metrics for users without a strong quantitative background and will promote communication and data‐sharing across disciplines, standardising the quantification of collective motion across species and promoting comparative investigations.…”
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A State-of-the-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement by Xiaomeng Shi, Zhirui Ye, Nirajan Shiwakoti, Offer Grembek

“…We put emphasis on the need for the future global collaborative efforts on data sharing for the complex crowd movements.…”
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Distributed training of foundation models for ophthalmic diagnosis by Sina Gholami, Fatema-E Jannat, Atalie Carina Thompson, Sally Shin Yee Ong, Jennifer I. Lim, Theodore Leng, Hamed Tabkhivayghan, Minhaj Nur Alam

“…This approach supports collaborative model development without data sharing, providing a scalable, privacy-preserving solution for effective retinal disease screening and diagnosis in diverse clinical settings.…”
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An annotated heterogeneous ultrasound database by Yuezhe Yang, Yonglin Chen, Xingbo Dong, Junning Zhang, Chihui Long, Zhe Jin, Yong Dai

“…It includes 13 different ultrasound image anomalies, and all data have been anonymized. Our data-sharing program aims to support benchmark testing of ultrasound disease diagnosis in multi-center environments.…”
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Evaluating the Impact of Face Anonymization Methods on Computer Vision Tasks: A Trade-Off Between Privacy and Utility by Roland Stenger, Steffen Busse, Jonas Sander, Thomas Eisenbarth, Sebastian Fudickar

“…Data anonymization is an essential prerequisite that enables data sharing in a privacy-preserving manner. However, anonymization affects the quality of the data and thus might affect the performance of later conducted data analysis. …”
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Practice of comorbidity management based on community chronic disease health management support centers: an introduction and discussion by Mengyun SUI, Sheng ZHANG, Yuheng WANG, Qinghua YAN, Fei WU, Chen FU, Minna CHENG, Yan SHI

“…Shanghai city has developed a comprehensive and closed-loop chronic disease health management system, which includes pre-diagnosis risk assessment and identification with tagged classification, intra-diagnosis standardized monitoring, data sharing integration, multidisciplinary collaboration, decision support, and post-diagnosis complication screening, intelligent follow-up, patient self-management, standardized health education, and re-evaluation. …”
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