Good practice versus reality: a landscape analysis of Research Software metadata adoption in European Open Science Clusters
This program is tentative and subject to change.
Research Software has become a key asset to support the results described in academic publications, enabling effective data analysis and reproducibility. In order to ensure adherence of Research Software to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, the scientific community has proposed metadata guidelines and best practices. However, it is unclear how have these practices been adopted so far. This paper examines how different scientific communities describe Research Software with metadata to support FAIR, how do they adopt existing good practices regarding citation, documentation or versioning, and what is the current adoption of archival services for long term preservation. We carry out our analysis in the software registries of five science clusters (in domains ranging from Physics to Environmental Sciences), together with a multi-domain collaborative software registry. Our results highlight the main gaps in metadata adoption in the different communities, opening an opportunity for future contributions to aid researchers in adopting good FAIR and Open Science practices.
This program is tentative and subject to change.
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | |||
11:00 10mTalk | Wolves in the Repository: A Software Engineering Analysis of the XZ Utils Supply Chain Attack Technical Papers | ||
11:10 10mTalk | Software Composition Analysis and Supply Chain Security in Apache Projects: an Empirical Study Technical Papers Sabato Nocera University of Salerno, Sira Vegas Universidad Politecnica de Madrid, Giuseppe Scanniello University of Salerno, Natalia Juristo Universidad Politecnica de Madrid Pre-print | ||
11:20 10mTalk | Good practice versus reality: a landscape analysis of Research Software metadata adoption in European Open Science Clusters Technical Papers | ||
11:30 10mTalk | Towards Security Commit Message Standardization Technical Papers Sofia Reis Instituto Superior Técnico, U. Lisboa & INESC-ID, Rui Abreu INESC-ID; University of Porto, Corina Pasareanu CMU, NASA, KBR | ||
11:40 10mTalk | From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice Technical Papers | ||
11:50 5mTalk | Patch Me If You Can—Securing the Linux Kernel Industry Track Gunnar Kudrjavets Amazon Web Services, USA Pre-print | ||
11:55 5mTalk | OSS License Identification at Scale: A Comprehensive Dataset Using World of Code Data and Tool Showcase Track Mahmoud Jahanshahi Research Assistant, University of Tennessee Knoxville, David Reid University of Tennessee, Adam McDaniel University of Tennessee Knoxville, Audris Mockus The University of Tennessee | ||
12:00 5mTalk | SCRUBD: Smart Contracts Reentrancy and Unhandled Exceptions Vulnerability Dataset Data and Tool Showcase Track Chavhan Sujeet Yashavant Indian Institute of Technology, Kanpur, Mitrajsinh Chavda Indian Institute of Technology Kanpur, India, Saurabh Kumar Indian Institute of Technology Hyderabad, India, Amey Karkare IIT Kanpur, Angshuman Karmakar Indian Institute of Technology Kanpur, India | ||
12:05 5mTalk | ICVul: A Well-labeled C/C++ Vulnerability Dataset with Comprehensive Metadata and VCCs Data and Tool Showcase Track Chaomeng Lu DistriNet Group-T, KU Leuven, Tianyu Li DistriNet Group-T, KU Leuven, Toon Dehaene KU Leuven, Bert Lagaisse DistriNet Group-T, KU Leuven | ||
12:10 5mTalk | A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools Data and Tool Showcase Track Rio Kishimoto Osaka University, Tetsuya Kanda Notre Dame Seishin University, Yuki Manabe The University of Fukuchiyama, Katsuro Inoue Nanzan University, Shi Qiu Toshiba, Yoshiki Higo Osaka University | ||
12:15 5mTalk | Wild SBOMs: a Large-scale Dataset of Software Bills of Materials from Public Code Data and Tool Showcase Track Luis Soeiro LTCI, Télécom Paris, Institut Polytechnique de Paris, Thomas Robert LTCI, Télécom Paris, Institut Polytechnique de Paris, Stefano Zacchiroli Télécom Paris, Polytechnic Institute of Paris | ||
12:20 5mTalk | MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs) Data and Tool Showcase Track BIKASH SAHA Indian Institute of Technology Kanpur, Nanda Rani Indian Institute of Technology Kanpur, Sandeep K. Shukla Indian Institute of Technology Kanpur |