A5003314430- Research Data Management Practices
- Scientific Computing and Data Management
- Data Quality and Management
- Semantic Web and Ontologies
- scientometrics and bibliometrics research
- Real-time simulation and control systems
- Technology and Data Analysis
- Open Education and E-Learning
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Data Analysis and Archiving
- Natural Language Processing Techniques
- Library Science and Information Systems
RELX Group (Netherlands)
2020-2022
Data Management (Italy)
2014
This article describes how data science techniques—machine learning and natural language processing—can be used to open the black box of government data. It then an incentive structure can established—using human–computer interaction techniques —to create a new sustainable ecosystem. The particular focus is on United States scientific researchers, who are major users However, approach deployed other use cases, such as mentions in newspapers reports, many countries
In this paper we aim to analyse the adoption of Current Research Information Systems (CRIS) for Data Management (RDM). We show how CRISs hold a key role in facilitating management and reporting an institution's research activities outputs – not only do they offer extensive functionality researchers administrators effectively manage all aspects their information, but are also integrating more with specialized RDM tools, Institutional Repositories (IR), other external systems. This provides...
Institutions, funding bodies, and national research organizations are pushing for more data sharing FAIR data. Institutions typically implement policies, frequently supported by an institutional repository. Funders mandate sharing. So where does this leave the researcher? How can researchers benefit from doing additional work to share their data? In order make sure that institutions get credit data, needs be tracked attributed first. paper we investigated ended up 11 institutions, how is...
Seyed Amin Tabatabaei, Georgios Cheirmpos, Marius Doornenbal, Alberto Zigoni, Veronique Moore, Tsatsaronis. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 5: Industry Track). 2023.