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ORCIDData Science Journal, Volume 22
Volume 22, January 2023
- Lindsay Barbieri
, Jane Wyngaard, Sarah Swanz, Andrea K. Thomer:
Making Drone Data FAIR Through a Community-Developed Information Framework.
- Brigitte Mathiak, Nick S. Juty, Alessia Bardi, Julien Colomb, Peter Kraker:
What are Researchers' Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases. - Ngoc-Minh Pham, Heather Moulaison Sandy, Bradley Wade Bishop, Hannah Gunderman:
Data Management Plans: Implications for Automated Analyses. - Jens Klump, Douglas Fils, Anusuriya Devaraju, Sarah Ramdeen, Jess Robertson, Lesley Wyborn, Kerstin A. Lehnert:
Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety. - Caterina Caracciolo, Sophie Aubin, Clément Jonquet, Emna Amdouni, Romain David, Leyla J. García, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa:
Correction: 39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition. - Sara Lafia, Andrea K. Thomer, Elizabeth Moss, David Bleckley, Libby Hemphill:
How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles. 10 - Zhong Liu, Chung-Lin Shie, Suhung Shen, James G. Acker, Angela Li, Jennifer C. Wei, David J. Meyer:
Improving NASA's Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education. - Lili Zhang:
Looking Back to the Future: A Glimpse at Twenty Years of Data Science. - Victor S. Y. Lo, Dessislava A. Pachamanova:
From Meaningful Data Science to Impactful Decisions: The Importance of Being Causally Prescriptive. - Lindsay Poirier:
Attending to the Cultures of Data Science Work. - Sarah Callaghan:
Two Journals and a Pandemic: Reflections on Being a Data Science Editor-in-Chief. - Philip van Damme, Pablo Alarcón Moreno, César Henrique Bernabé, Alberto Cámara Ballesteros, Clémence M. A. Le Cornec, Bruna dos Santos Vieira, K. Joeri van der Velde, Shuxin Zhang, Claudio Carta, Ronald Cornet, Peter A. C. 't Hoen, Annika Jacobsen, Morris A. Swertz, Marco Roos, Nirupama Benis:
A Resource for Guiding Data Stewards to Make European Rare Disease Patient Registries FAIR. - Akzhan G. Duisenkul, Dzhamilya A. Ospanova, Gaziz D. Taigamitov, Saule M. Madykhan:
Legal Regulation of State Electronic Services: Relevant Issues and Ways of Improvement. - Matthew S. Mayernik:
Data Science as an Interdiscipline: Historical Parallels from Information Science. - Francis J. Smith:
The Launch of the Data Science Journal in 2002. 11 - John Rumble:
Thoughts on Starting the CODATA Data Science Journal. - Francis J. Smith:
The Launch of the Data Science Journal in 2002. 11 - Annemie Rose Janssen, Philippa Bricher, Karen Payne, Renuka Badhe, Nicole Biebow, Taco F. de Bruin, Ruth E. Duerr, Pjotr Elshout, Allison G. Gaylord, Øystein Godøy, Patrick Gorringe, Damien Guihen, Johnathan T. Kool, Jan Rene Larsen, Joseph Nolan, Antonio Novellino, William Manley, Andreas Marouchos, Molly McCammon, Maribeth Murray, Jenn Parrott, Jay Pearlman, Helen Peat, Peter L. Pulsifer, Lloyd Symons, Marten Tacoma, Soulaine Theocharides, Stein Tronstad, Chantelle Verhey, Anton Van de Putte:
Polar Data Forum IV - An Ocean of Opportunities. - Rihab Al-Salman, Camila Aguiar Teixeira, Philipp Zschumme, Subin Lee, Lars Griem, Jasmin Aghassi-Hagmann, Christoph Kirchlechner, Michael Selzer:
KadiStudio Use-Case Workflow: Automation of Data Processing for in Situ Micropillar Compression Tests. - Takuma Kimura:
Assessment of Personal Values for Data-Driven Human Resource Management. - Robert R. Downs, Alicia Urquidi Díaz, Qi Xu, Juanle Wang, Aude Chambodot, Chuang Liu, Simon Flower, Karen Payne:
Harvestable Metadata Services Development: Analysis of Use Cases from the World Data System. - Mark A. Parsons, Matthew S. Mayernik:
20 Years of Data Science: An Editorial. - Jenni Adams, Bev Jones, Helen Foster:
Supporting FAIR Data Management Planning Across Different Disciplines at the University of Sheffield. - Fang Fang:
A Study on the Application of Data Mining Techniques in the Management of Sustainable Education for Employment. - Junzhou Li, Qianhui Sun, Feixian Sun:
Enhancing Privacy-Preserving Intrusion Detection in Blockchain-Based Networks with Deep Learning. - Marjolaine Bodin, Fredrik Bolmsten, Petra Aulin, Teodor Ivanoaica, Alessandro Olivo, Janusz Malka, Krzysztof Wrona, Andy Götz:
Data Management Plans for the Photon and Neutron Communities. - Jan Vogt, Thilo Voigt, Annika Nowak, Jan M. Pawlowski:
Development of a Job Advertisement Analysis for Assessing Data Science Competencies. - Bradley Wade Bishop, Peter Neish, Ji Hyun Kim, Raphaëlle Bats, Anthony J. Million, Jake Carlson, Heather Moulaison Sandy, Minh T. N. Pham:
Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations. - Joakim Philipson, Adil Hasan, Hanne Moa:
Making Data Management Plans Machine Actionable: Templates and Tools. - Maria Praetzellis, Matthew Buys, Xiaoli Chen, John Chodacki, Neil Davies, Kristian Garza, Catherine Nancarrow, Brian Riley, Erin Robinson:
A Programmatic and Scalable Approach to Making Data Management Machine-Actionable. - Vivek Navale, Matthew J. McAuliffe:
Implementing Informatics Tools with Data Management Plans for Disease Area Research. - Christine R. Kirkpatrick, Kevin L. Coakley, Julianne Christopher, Inês Dutra:
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). - Tomasz Miksa, Marek Suchánek, Jan Slifka, Vojtech Knaisl, Fajar J. Ekaputra, Filip Kovacevic, Annisa Maulida Ningtyas, Alaa El-Ebshihy, Robert Pergl:
Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. - Denise Jäckel, Anna Lehmann:
Benefits and Challenges: Data Management Plans in Two Collaborative Projects. - Swati Gehlot, Karsten Peters-von Gehlen, Andrea Lammert, Hannes Thiemann:
Data Management for PalMod-II - A FAIR-Based Strategy for Data Handling in Large Climate Modeling Projects. - Fabio Cignini, Enrico Cosimi, Vittoria Cozza, Flavio Fontana, Maurizio Matera, Giangiacomo Ponzo, Maria Salvato, Veronica Tomassetti:
ENEA PAES: A Web Platform for Supporting Italian Municipalities in Sustainable Energy Action Plan. - Sylvia Melzer, Stefan Thiemann, Simon Schiff, Ralf Möller:
Implementation of a Federated Information System by Means of Reuse of Research Data Archived in Research Data Repositories. - Romain David, Audrey S. Richard, Claire Connellan, Katharina B. Lauer, Maria Luisa Chiusano, Carole A. Goble, Martin Houde, Isabel Kemmer, Antje Keppler, Philippe Lieutaud, Christian Ohmann, Maria Panagiotopoulou, Sara Raza Khan, Arina Rybina, Stian Soiland-Reyes, Charlotte Wit, Rudolf Wittner, Rafael Andrade Buono, Sarah Arnaud Marsh, Pauline Audergon, Dylan Bonfils, Jose-Maria Carazo, Remi Charrel, Frederik Coppens, Wolfgang Fecke, Claudia Filippone, Eva G. Alvarez, Sheraz Gul, Henning Hermjakob, Katja Herzog, Petr Holub, Lukasz Kozera, Allyson L. Lister, José López-Coronado, Bénédicte Madon, Kurt Majcen, William Martin, Wolfgang Müller, Elli Papadopoulou, Christine M. A. Prat, Paolo Romano, Susanna-Assunta Sansone, Gary Saunders, Niklas Blomberg, Jonathan Ewbank:
Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness. 35 - Matthew I. Bellgard, Ryan Bennett, Yvette Wyborn, Chris Williams, Leonie Barner, Nikolajs Zeps:
RDM+PM Checklist: Towards a Measure of Your Institution's Preparedness for the Effective Planning of Research Data Management. - Alison Specht, Margaret O'Brien, Rorie Edmunds, Pedro L. P. Corrêa, Romain David, Laurence Mabile, Jeaneth Machicao, Yasuhiro Murayama, Shelley Stall:
The Value of a Data and Digital Object Management Plan (D(DO)MP) in Fostering Sharing Practices in a Multidisciplinary Multinational Project. - Oarabile Sebubi, Irina Zlotnikova, Hlomani Hlomani:
Ontology-Driven Semantic Enrichment Framework for Open Data Value Creation. - Yannick Gerstorfer, Max Hahn-Klimroth, Lena Krieg:
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression. - Dennis F. X. Mathaisel:
Data Science in a Pandemic.
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