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  1. 2761
    “…The conceptual model of our framework is defined on top of existing modelling standards, such as SOSA and WADM, promoting the creation of interoperable knowledge graphs. On top of the symbolic knowledge graphs, we define a rule-based framework for infusing expert knowledge in the form of SHACL constraints and rules to recognise patterns, anomalies and situations of interest based on the predefined and stored rules and conditions. …”
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    Detection of Health-Related Events and Behaviours from Wearable Sensor Lifestyle Data Using Symbolic Intelligence: A Proof-of-Concept Application in the Care of Multiple Sclerosis
  2. 2762
    por Ostaszewski, Marek, Niarakis, Anna, Mazein, Alexander, Kuperstein, Inna, Phair, Robert, Orta‐Resendiz, Aurelio, Singh, Vidisha, Aghamiri, Sara Sadat, Acencio, Marcio Luis, Glaab, Enrico, Ruepp, Andreas, Fobo, Gisela, Montrone, Corinna, Brauner, Barbara, Frishman, Goar, Monraz Gómez, Luis Cristóbal, Somers, Julia, Hoch, Matti, Kumar Gupta, Shailendra, Scheel, Julia, Borlinghaus, Hanna, Czauderna, Tobias, Schreiber, Falk, Montagud, Arnau, Ponce de Leon, Miguel, Funahashi, Akira, Hiki, Yusuke, Hiroi, Noriko, Yamada, Takahiro G, Dräger, Andreas, Renz, Alina, Naveez, Muhammad, Bocskei, Zsolt, Messina, Francesco, Börnigen, Daniela, Fergusson, Liam, Conti, Marta, Rameil, Marius, Nakonecnij, Vanessa, Vanhoefer, Jakob, Schmiester, Leonard, Wang, Muying, Ackerman, Emily E, Shoemaker, Jason E, Zucker, Jeremy, Oxford, Kristie, Teuton, Jeremy, Kocakaya, Ebru, Summak, Gökçe Yağmur, Hanspers, Kristina, Kutmon, Martina, Coort, Susan, Eijssen, Lars, Ehrhart, Friederike, Rex, Devasahayam Arokia Balaya, Slenter, Denise, Martens, Marvin, Pham, Nhung, Haw, Robin, Jassal, Bijay, Matthews, Lisa, Orlic‐Milacic, Marija, Senff Ribeiro, Andrea, Rothfels, Karen, Shamovsky, Veronica, Stephan, Ralf, Sevilla, Cristoffer, Varusai, Thawfeek, Ravel, Jean‐Marie, Fraser, Rupsha, Ortseifen, Vera, Marchesi, Silvia, Gawron, Piotr, Smula, Ewa, Heirendt, Laurent, Satagopam, Venkata, Wu, Guanming, Riutta, Anders, Golebiewski, Martin, Owen, Stuart, Goble, Carole, Hu, Xiaoming, Overall, Rupert W, Maier, Dieter, Bauch, Angela, Gyori, Benjamin M, Bachman, John A, Vega, Carlos, Grouès, Valentin, Vazquez, Miguel, Porras, Pablo, Licata, Luana, Iannuccelli, Marta, Sacco, Francesca, Nesterova, Anastasia, Yuryev, Anton, de Waard, Anita, Turei, Denes, Luna, Augustin, Babur, Ozgun, Soliman, Sylvain, Valdeolivas, Alberto, Esteban‐Medina, Marina, Peña‐Chilet, Maria, Rian, Kinza, Helikar, Tomáš, Puniya, Bhanwar Lal, Modos, Dezso, Treveil, Agatha, Olbei, Marton, De Meulder, Bertrand, Ballereau, Stephane, Dugourd, Aurélien, Naldi, Aurélien, Noël, Vincent, Calzone, Laurence, Sander, Chris, Demir, Emek, Korcsmaros, Tamas, Freeman, Tom C, Augé, Franck, Beckmann, Jacques S, Hasenauer, Jan, Wolkenhauer, Olaf, Wilighagen, Egon L, Pico, Alexander R, Evelo, Chris T, Gillespie, Marc E, Stein, Lincoln D, Hermjakob, Henning, D'Eustachio, Peter, Saez‐Rodriguez, Julio, Dopazo, Joaquin, Valencia, Alfonso, Kitano, Hiroaki, Barillot, Emmanuel, Auffray, Charles, Balling, Rudi, Schneider, Reinhard
    Publicado 2021
    “…Here, we describe a large‐scale community effort to build an open access, interoperable and computable repository of COVID‐19 molecular mechanisms. …”
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    COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
  3. 2763
    “…Since 2018, the DMD/BMD patient community has been committed to making DMD/BMD-related data FAIR, i.e., Findable, Accessible, Interoperable, and Reusable. On March 3, 2021, the second international meeting on FAIR data sharing for DMD/BMD was held virtually. …”
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    How Patient Organizations Can Drive FAIR Data Efforts to Facilitate Research and Health Care: A Report of the Virtual Second International Meeting on Duchenne Data Sharing, March 3, 2021
  4. 2764
    por Rehm, Heidi L., Page, Angela J.H., Smith, Lindsay, Adams, Jeremy B., Alterovitz, Gil, Babb, Lawrence J., Barkley, Maxmillian P., Baudis, Michael, Beauvais, Michael J.S., Beck, Tim, Beckmann, Jacques S., Beltran, Sergi, Bernick, David, Bernier, Alexander, Bonfield, James K., Boughtwood, Tiffany F., Bourque, Guillaume, Bowers, Sarion R., Brookes, Anthony J., Brudno, Michael, Brush, Matthew H., Bujold, David, Burdett, Tony, Buske, Orion J., Cabili, Moran N., Cameron, Daniel L., Carroll, Robert J., Casas-Silva, Esmeralda, Chakravarty, Debyani, Chaudhari, Bimal P., Chen, Shu Hui, Cherry, J. Michael, Chung, Justina, Cline, Melissa, Clissold, Hayley L., Cook-Deegan, Robert M., Courtot, Mélanie, Cunningham, Fiona, Cupak, Miro, Davies, Robert M., Denisko, Danielle, Doerr, Megan J., Dolman, Lena I., Dove, Edward S., Dursi, L. Jonathan, Dyke, Stephanie O.M., Eddy, James A., Eilbeck, Karen, Ellrott, Kyle P., Fairley, Susan, Fakhro, Khalid A., Firth, Helen V., Fitzsimons, Michael S., Fiume, Marc, Flicek, Paul, Fore, Ian M., Freeberg, Mallory A., Freimuth, Robert R., Fromont, Lauren A., Fuerth, Jonathan, Gaff, Clara L., Gan, Weiniu, Ghanaim, Elena M., Glazer, David, Green, Robert C., Griffith, Malachi, Griffith, Obi L., Grossman, Robert L., Groza, Tudor, Guidry Auvil, Jaime M., Guigó, Roderic, Gupta, Dipayan, Haendel, Melissa A., Hamosh, Ada, Hansen, David P., Hart, Reece K., Hartley, Dean Mitchell, Haussler, David, Hendricks-Sturrup, Rachele M., Ho, Calvin W.L., Hobb, Ashley E., Hoffman, Michael M., Hofmann, Oliver M., Holub, Petr, Hsu, Jacob Shujui, Hubaux, Jean-Pierre, Hunt, Sarah E., Husami, Ammar, Jacobsen, Julius O., Jamuar, Saumya S., Janes, Elizabeth L., Jeanson, Francis, Jené, Aina, Johns, Amber L., Joly, Yann, Jones, Steven J.M., Kanitz, Alexander, Kato, Kazuto, Keane, Thomas M., Kekesi-Lafrance, Kristina, Kelleher, Jerome, Kerry, Giselle, Khor, Seik-Soon, Knoppers, Bartha M., Konopko, Melissa A., Kosaki, Kenjiro, Kuba, Martin, Lawson, Jonathan, Leinonen, Rasko, Li, Stephanie, Lin, Michael F., Linden, Mikael, Liu, Xianglin, Liyanage, Isuru Udara, Lopez, Javier, Lucassen, Anneke M., Lukowski, Michael, Mann, Alice L., Marshall, John, Mattioni, Michele, Metke-Jimenez, Alejandro, Middleton, Anna, Milne, Richard J., Molnár-Gábor, Fruzsina, Mulder, Nicola, Munoz-Torres, Monica C., Nag, Rishi, Nakagawa, Hidewaki, Nasir, Jamal, Navarro, Arcadi, Nelson, Tristan H., Niewielska, Ania, Nisselle, Amy, Niu, Jeffrey, Nyrönen, Tommi H., O’Connor, Brian D., Oesterle, Sabine, Ogishima, Soichi, Ota Wang, Vivian, Paglione, Laura A.D., Palumbo, Emilio, Parkinson, Helen E., Philippakis, Anthony A., Pizarro, Angel D., Prlic, Andreas, Rambla, Jordi, Rendon, Augusto, Rider, Renee A., Robinson, Peter N., Rodarmer, Kurt W., Rodriguez, Laura Lyman, Rubin, Alan F., Rueda, Manuel, Rushton, Gregory A., Ryan, Rosalyn S., Saunders, Gary I., Schuilenburg, Helen, Schwede, Torsten, Scollen, Serena, Senf, Alexander, Sheffield, Nathan C., Skantharajah, Neerjah, Smith, Albert V., Sofia, Heidi J., Spalding, Dylan, Spurdle, Amanda B., Stark, Zornitza, Stein, Lincoln D., Suematsu, Makoto, Tan, Patrick, Tedds, Jonathan A., Thomson, Alastair A., Thorogood, Adrian, Tickle, Timothy L., Tokunaga, Katsushi, Törnroos, Juha, Torrents, David, Upchurch, Sean, Valencia, Alfonso, Guimera, Roman Valls, Vamathevan, Jessica, Varma, Susheel, Vears, Danya F., Viner, Coby, Voisin, Craig, Wagner, Alex H., Wallace, Susan E., Walsh, Brian P., Williams, Marc S., Winkler, Eva C., Wold, Barbara J., Wood, Grant M., Woolley, J. Patrick, Yamasaki, Chisato, Yates, Andrew D., Yung, Christina K., Zass, Lyndon J., Zaytseva, Ksenia, Zhang, Junjun, Goodhand, Peter, North, Kathryn, Birney, Ewan
    Publicado 2021
    “…We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. …”
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    GA4GH: International policies and standards for data sharing across genomic research and healthcare
  5. 2765
    “…Just like the scientific data they generate, simulation workflows for research should be findable, accessible, interoperable, and reusable (FAIR). However, while significant progress has been made towards FAIR data, the majority of science and engineering workflows used in research remain poorly documented and often unavailable, involving ad hoc scripts and manual steps, hindering reproducibility and stifling progress. …”
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    Sim2Ls: FAIR simulation workflows and data
  6. 2766
    “…The FAIR principles (Findable, Accessible, Interoperable, and Reusable) were developed to facilitate data sharing. …”
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    Using Indigenous Standards to Implement the CARE Principles: Setting Expectations through Tribal Research Codes
  7. 2767
    “…The Zebrafish Information Network makes zebrafish research data Findable, Accessible, Interoperable, and Reusable through nomenclature, curatorial and annotation activities, web interfaces, and data downloads. …”
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    Zebrafish information network, the knowledgebase for Danio rerio research
  8. 2768
    “…OBJECTIVE: This study investigates current standards and operational gaps in the management and sharing of next generation sequencing (NGS) data within the healthcare and research setting and according to Findable, Accessible, Interoperable and Reusable (FAIR) principles. METHODS: The analysis was performed as the basis from which to bridge identified gaps and develop widely accepted working standards that ensure optimal reusability of genomic data in healthcare and research settings in the Netherlands. …”
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    Road to FAIR genomes: a gap analysis of NGS data generation and sharing in the Netherlands
  9. 2769
    “…We conclude from our findings that future technologies for supporting engagement in physical activity as part of diabetes management need to be: more interoperable, personalised and integrated better with ongoing education and support.…”
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    Letting the World See through Your Eyes: Using Photovoice to Explore the Role of Technology in Physical Activity for Adolescents Living with Type 1 Diabetes
  10. 2770
    “…Altogether, this pairing of SPARQL and Vega-Lite—demonstrated here in the domain of polymer nanocomposite materials science—offers an extensible approach to FAIR (findable, accessible, interoperable, reusable) scientific data visualization within a knowledge graph framework.…”
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    FAIR and Interactive Data Graphics from a Scientific Knowledge Graph
  11. 2771
    “…Herein we present Scarf, a modularly designed Python package that seamlessly interoperates with other single-cell toolkits and allows for memory-efficient single-cell analysis of millions of cells on a laptop or low-cost devices like single-board computers. …”
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    Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data
  12. 2772
    “…This article explores initiatives on resource discovery as well as the need for system‐wide partnership working to ensure that biomedical knowledge in computable form is findable, accessible, interoperable and reusable. Low levels of health and digital literacy pose a significant barrier to using health information and accessing health services. …”
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    NHS knowledge and library services in England in the digital age
  13. 2773
    “…We propose an open‐source ontology‐guided radiomics analysis workflow (O‐RAW) to address the above challenges in the following manner: (a) distributing a free and open‐source software package for radiomics analysis, (b) deploying a standard lexicon to uniquely describe features in common usage and (c) provide methods to publish radiomic features as a semantically interoperable data graph object complying to FAIR (findable accessible interoperable reusable) data principles. …”
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    Technical Note: Ontology‐guided radiomics analysis workflow (O‐RAW)
  14. 2774
    por Alandes, M, Abad, A, Guerrero, P
    Publicado 2012
    “…The Quality Assurance in EMI (European Middleware Initiative), as requested by the grid infrastructures and the EU funding agency, must support the teams in providing uniform releases and interoperable middleware distributions, with a common degree of verification and validation of the software and with metrics and objective criteria to compare product quality and evolution over time. …”
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    Why are common quality and development policies needed?
  15. 2775
    “…However, the different elements that compose the Information and Communication Technologies (ICTs) layer of a Smart Grid are usually conceived as isolated systems that typically result in rigid hardware architectures which are hard to interoperate, manage, and to adapt to new situations. …”
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    Prototyping a Web-of-Energy Architecture for Smart Integration of Sensor Networks in Smart Grids Domain
  16. 2776
    “…Metagenomic studies can provide this background but only when combined with essential metadata and following the “FAIR” (Findable, Accessible, Interoperable, and Reusable) data principles.…”
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    Virus Metagenomics in Farm Animals: A Systematic Review
  17. 2777
    por Helliwell, John R., Massera, Chiara
    Publicado 2022
    “…Data, 3, 160018], where the acronym FAIR means findable, accessible, interoperable and reusable. In the social sciences, the acronym FACT (namely fairness, accuracy, confidentiality and transparency) has emerged, the idea being that data should be FACTual to ensure trust [van der Aalst et al. (2017). …”
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    The four Rs and crystal structure analysis: reliability, reproducibility, replicability and reusability
  18. 2778
    “…To this aim, specific bands have been reserved in some countries worldwide and different wireless technologies have been developed; however, these are not interoperable. Recently, the issue of co-channel coexistence has been raised, leading the European Telecommunications Standards Institute (ETSI) to propose a number of solutions, called mitigation methods, for the coexistence of the IEEE 802.11p based ITS-G5 and the 3GPP fourth generation (4G) long term evolution (LTE)-V2X sidelink. …”
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    Analysis of Co-Channel Coexistence Mitigation Methods Applied to IEEE 802.11p and 5G NR-V2X Sidelink
  19. 2779
    “…RECENT FINDINGS: Technological requirements include developing interoperable and connected systems; establishing stable, wide internet coverage; addressing data accuracy and monitoring adherence; realising the potential of artificial intelligence; and avoiding clinician data overload. …”
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    Implementation of digital home monitoring and management of respiratory disease
  20. 2780
    “…The objective is to offer an interoperable dataset containing monthly data from 2005 to 2021 with information on healthcare facilities, including their physical and human resources, services and teams, enriched with municipal information. …”
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    A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021
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