期刊的影响因子--文章列表

期刊文章列表
Ivonne Anders，Karsten Peters-von Gehlen，Hannes Thiemann（German Climate Computing Center （DKRZ））.Canonical Workflows in Simulation-based Climate Sciences[J].Data Intelligence,2022,第2期 Alessandro Spinuso¹，Malcolm Atkinson²，Federica Magnoni³（Koninklijk Nederlands Meteorologisch Instituut；University of Edinburgh，Edinburgh；Istituto Nazionale Geofisica e Vulcanologia）.S-ProvFlow.Storing and Exploring Lineage Data as a Service[J].Data Intelligence,2022,第2期 Sabine Schr？der，Eleonora Epp，Amirpasha Mozaffari，Mathilde Romberg，Niklas Selke，Martin G.Schultz（Forschungszentrum Jülich GmbH）.Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data[J].Data Intelligence,2022,第2期 Amirpasha Mozaffari¹，Michael Langguth¹，Bing Gong¹，Jessica Ahring¹，Adrian Rojas Campos²，Pascal Nieters²，Otoniel José Campos Escobar³，Martin Wittenbrink⁴，Peter Baumann³，Martin G.Schultz¹（Forschungszentrum Jülich GmbH；Osnabrück University；Jacobs University Bremen；Deutscher Wetterdienst）.HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction[J].Data Intelligence,2022,第2期 Alessandro Spinuso¹，Mats Veldhuizen¹，Daniele Bailo²，Valerio Vinciarelli²，Tor Langeland³（Koninklijk Nederlands Meteorologisch Instituut；Istituto Nazionale Geofisica e Vulcanologia；NORCE Norwegian Research Centre AS）.SWIRRL. Managing Provenance-aware and Reproducible Workspaces[J].Data Intelligence,2022,第2期 Limor Peer¹，Claudia Biniossek²，Dirk Betz²，Thu-Mai Christian³（Institution for Social and Policy Studies，Yale University；Center for Empirical Research in Economics and Behavioral Sciences (CEREB)，University of Erfurt；Odum Institute for Research in Social Science，University of North Carolina System）.Reproducible Research Publication Workflow：A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output[J].Data Intelligence,2022,第2期 Christian Ohmann¹，Romain David²，Mónica Cano Abadia³，Florence Bietrix⁴，Jan-Willem Boiten⁵，Steve Canham¹，Maria Luisa Chiusano⁶，Walter Dastrù⁷，Arnaud Laroquette⁸，Dario Longo⁹，Michaela Theresia Mayrhofer³，Maria Panagiotopoulou¹，Audrey Richard²，Pablo Emilio Verde¹⁰（European Clinical Research Infrastructure Network (ECRIN)；European Research Infrastructure on Highly Pathogenic Agents (ERINHA AISBL)；Biobanking and Biomolecular Resources Research Infrastructure (BBMRI)；European Infrastructure for Translational Medicine (EATRIS)；European Advanced Translational Research Infrastructure (EATRIS)/Lygature；European Marine Biological Resource Centre (EMBRC)—Department of Agricultural Sciences，University Federico II of Naples via Università；Department of Molecular Biotechnology and Health Sciences，Molecular Imaging Center，University of Torino；European Marine Biological Resource Centre (EMBRC)；European Research Infrastructure for Biological and Biomedical Imaging (Euro-Bio Imaging)；Coordination Centre for Clinical Trials，Heinrich Heine University Düsseldorf Ringgold standard institution）.Pilot Study on the Intercalibration of a Categorisation System for FAIRer Digital Objects Related to Sensitive Data in the Life Sciences[J].Data Intelligence,2022,第2期 Alex Hardisty¹，Paul Brack²，Carole Goble²，Laurence Livermore³，Ben Scott³，Quentin Groom⁴，Stuart Owen²，Stian Soiland-Reyes^2,5（School of Computer Science and Informatics，Cardiff University；The Department of Computer Science，The University of Manchester；The Natural History Museum；Meise Botanic Garden；Informatics Institute，Faculty of Science，University of Amsterdam）.The Specimen Data Refinery：A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections[J].Data Intelligence,2022,第2期 Beatriz Serrano-Solano¹，Anne Fouilloux²，Ignacio Eguinoa^3,4，Matú? Kala?⁵，Bj?rn Grüning¹，Frederik Coppens^3,4（Bioinformatics Group，University of Freiburg；Department of Geosciences，University of Oslo；Department of Plant Biotechnology and Bioinformatics，Ghent University；VIB；Department of Informatics，University of Bergen Ringgold standard institution，University of Bergen）.Galaxy：A Decade of Realising CWFR Concepts[J].Data Intelligence,2022,第2期 Stian Soiland-Reyes^1,2，Genís Bayarri³，Pau Andrio⁴，Robin Long^5,6，Douglas Lowe⁶，Ania Niewielska⁷，Adam Hospital³，Paul Groth²（Department of Computer Science，The University of Manchester；Informatics Institute，University of Amsterdam；Institute for Research in Biomedicine (IRB Barcelona)，The Barcelona Institute of Science and Technology (BIST)；The Spanish National Bioinformatics Institute (INB)，Barcelona Supercomputing Center (BSC)；Data Science Institute，Lancaster University；Research IT，IT Services，The University of Manchester；European Bioinformatics Institute (EMBL-EBI)）.Making Canonical Workflow Building Blocks Interoperable across Workflow Languages[J].Data Intelligence,2022,第2期 Thomas Jejkal¹，Sabrine Chelbi¹，Andreas Pfeil¹，Peter Wittenburg²（Karlsruhe Institute of Technology；Max Planck Computing and Data Facility）.Evaluation of Application Possibilities for Packaging Technologies in Canonical Workflows[J].Data Intelligence,2022,第2期 Andreas Pfeil，Thomas Jejkal，Danah Tonne，Germaine G？tzelmann（Karlsruhe Institute of Technology）.From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow[J].Data Intelligence,2022,第2期 Yuandou Wang¹，Spiros Koulouzis^1,2，Riccardo Bianchi^1,2，Na Li¹，Yifang Shi^2,3，Joris Timmermans^2,3，W.Daniel Kissling^2,3，Zhiming Zhao^1,2（Multiscale Networked Systems，Informatics Institute，University of Amsterdam；Life Watch ERIC，Virtual Lab & Innovation Center (VLIC)；Institute for Biodiversity and Ecosystem Dynamics (IBED)）.Scaling Notebooks as Re-configurable Cloud Workflows[J].Data Intelligence,2022,第2期 Nikolay A.Skvortsov，Sergey A.Stupnikov（Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences）.A Semantic Approach to Workflow Management and Reuse for Research Problem Solving[J].Data Intelligence,2022,第2期 Hendrik Nolte，Philipp Wieder（Gesellschaft für wissenschaftliche Datenverarbeitung mbH G?ttingen G?ttingen）.Realising Data-Centric Scientific Workflows with Provenance-Capturing on Data Lakes[J].Data Intelligence,2022,第2期 Abraham Nieva de la Hidalga^1,2，Donato Decarolis^1,2，Shaojun Xu^1,2，Santhosh Matam^1,2，Willinton Yesid Hernández Enciso^1,2，Josephine Goodall^1,2，Brian Matthews³，C.Richard A.Catlow^1,2,4（UK Catalysis Hub，Research Complex at Harwell，Rutherford Appleton Laboratory；School of Chemistry，Cardiff University；Scientific Computing Department STFC，Rutherford Appleton Laboratory，Harwell Campus；Department of Chemistry，University College London）.A Workflow Demonstrator for Processing Catalysis Research Data[J].Data Intelligence,2022,第2期 Peter Wittenburg¹，Alex Hardisty²，Yann Le Franc³，Amirpasha Mozaffari⁴，Limor Peer⁵，Nikolay A.Skvortsov⁶，Zhiming Zhao⁷，Alessandro Spinuso⁸（FDO Forum；Cardiff University；e Science Factory；Forschungszentrum Jülich GmbH；Yale University；Russian Academy of Sciences；University of Amsterdam；Royal Netherlands Meteorological Institute (KNMI)）.Canonical Workflows to Make Data FAIR[J].Data Intelligence,2022,第2期 Peter Wittenburg，Alex Hardisty¹，Amirpasha Mozzafari，Limor Peer²，Nikolay Skvortsov，Alessandro Spinuso，Zhiming Zhao³（Cardiff University；Institution for Social and Policy Studies，Yale University；University of Amsterdam）.Editors’ Note：Special Issue on Canonical Workflow Frameworks for Research[J].Data Intelligence,2022,第2期 Dirk Betz^1,2，Claudia Biniossek^1,2，Christophe Blanchi³，Felix Henninger⁴，Thomas Lauer²，Philipp Wieder⁵，Peter Wittenburg^3,6，Martin Zünkeler⁷（TIB – Leibniz Information Centre for Science and Technology；Center for Empirical Research in Economics and Behavioral Sciences (CEREB)，University of Erfurt；DONA Foundation，C/O Université de Genève；Statistics and Data Science in Social Sciences and the Humanities，Department of Statistics，Ludwig-Maximilians-University München；GWDG；FDO Forum；KAIROS Bochum）.Canonical Workflow for Experimental Research[J].Data Intelligence,2022,第2期 Christophe Blanchi¹，Binyam Gebre，Peter Wittenburg²（DONA Foundation，C/O Université de Genève；FDO Forum）.Canonical Workflow for Machine Learning Tasks[J].Data Intelligence,2022,第2期 Vivek Navale，Matthew McAuliffe（Center for Information Technology，National Institutes of Health）.The Integration of a Canonical Workflow Framework with an Informatics System for Disease Area Research[J].Data Intelligence,2022,第2期 Triet Ho Anh Doan，Sven Bingert，Ramin Yahyapour（Gesellschaft für wissenschaftliche Datenverarbeitung mb H G?ttingen）.Using a Workflow Management Platform in Textual Data Management[J].Data Intelligence,2022,第2期 Zhibin Chen^1,2，Yuting Wu^1,3，Yansong Feng^1,3，Dongyan Zhao^1,3（Wangxuan Institute of Computer Technology，Peking University；Center for Data Science，Peking University；The MOE Key Laboratory of Computational Linguistics，Peking University）.Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs[J].Data Intelligence,2022,第1期 Haixu Xi^1,2，Chengzhi Zhang¹，Yi Zhao¹，Sheng He²（School of Economics and Management，Nanjing University of Science and Technology；School of Computer Engineering，Jiangsu University of Technology）.Public Emotional Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agencies in the United States[J].Data Intelligence,2022,第1期 Xiaxia Wang，Tengteng Lin，Weiqing Luo，Gong Cheng，Yuzhong Qu（State Key Laboratory for Novel Software Technology，Nanjing University）.CKGSE：A Prototype Search Engine for Chinese Knowledge Graphs[J].Data Intelligence,2022,第1期 Shusaku Egami^1,2，Takahiro Kawamura^1,3，Kouji Kozaki^1,4，Akihiko Ohsuga²（National Institute of Advanced Industrial Science and Technology (AIST)；Graduate School of Informatics and Engineering，The University of Electro-Communications；National Agriculture and Food Research Organization；Faculty of Information and Communication Engineering，Osaka Electro-Communication University）.Detecting Vicious Cycles in Urban Problem Knowledge Graph using Inference Rules[J].Data Intelligence,2022,第1期 Lei Li^1,2，Minghe Xue²，Zan Zhang²，Huanhuan Chen³，Xindong Wu¹（Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology)，Ministry of Education；School of Computer Science and Information Engineering，Hefei University of Technology；School of Computer Science and Technology，University of Science and Technology of China）.Certainty-based Preference Completion[J].Data Intelligence,2022,第1期 Ting Jia¹，Yuxia Yang¹，Xi Lu¹，Qiang Zhu¹，Kuo Yang^1,2，Xuezhong Zhou¹（Institute of Medical Intelligence，School of Computer and Information Technology，Beijing Jiaotong University；BNRIST/Department of Automation，Tsinghua University）.Link Prediction based on Tensor Decomposition for the Knowledge Graph of COVID-19 Antiviral Drug[J].Data Intelligence,2022,第1期首页上一页 1 2 3 下一页尾页共有3页，转到页

期刊文章列表