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Master data management

Related publications (56)

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Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning ...

2020

Cost Calculator for DMP

Antoine Louis Claude Masson

In recent years, funding agencies, governments, and international organization have issued a series of research data management and sharing policies, like the H2020 [1]. Researchers are encouraged or required to share their production in an open way, inclu ...

2019

EPFL Library Research Data Management Fastguides

Francesco Varrato, Antoine Louis Claude Masson, Eliane Ninfa Blumer, Sitthida Samath, Fantin Reichler, Jérôme Julien Chaptinel

This is a set of 11 1-sheet guides, providing abridged notions, advice and references for quick and practical research data management: #01 Research Data: the basics #02 FAIR Data Principles #03 Cost of Research Data Management #04 File Formats #05 Metadat ...

2019

Introduction to the Swiss Data Custodian

Marc-Edouard Baptiste Grégoire Schultheiss, Olivier Verscheure

Trust in the use of sensitive data is not nearly widespread. Even though there is no shortage in tools and methods to address the digitisation of our society and industries, the acquisition and access to non-open data represent the greatest challenge. In t ...

2019

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes

Ali H. Sayed, Stefan Vlaski, Bicheng Ying, Kun Yuan

In empirical risk optimization, it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better performance than implementations that rely on sampling the data uniformly. Recent works have pursued ju ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Efficient Query Processing for Spatial and Temporal Data Exploration

Eleni Tzirita Zacharatou

Core to many scientific and analytics applications are spatial data capturing the position or shape of objects in space, and time series recording the values of a process over time. Effective analysis of such data requires a shift from confirmatory pipelin ...

EPFL2019

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

Davide Scaramuzza

Autonomous micro aerial vehicles still struggle with fast and agile maneuvers, dynamic environments, imperfect sensing, and state estimation drift. Autonomous drone racing brings these challenges to the fore. Human pilots can fly a previously unseen track ...

2019

GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics

Akhil Arora, Arnab Bhattacharya

GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, ...

ASSOC COMPUTING MACHINERY2019

An ontological approach to representing the product life cycle

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and t ...

IOS PRESS2019

Data Management Checklist

Managing research data throughout its lifecycle ensures its long-term value and prevents data from falling into digital obsolescence. Proper data management is a key prere- quisite for effective data sharing throughout the scientific community. This, in tu ...

DLCM2018