Rapports et guides

Shifting to Data Savvy : The Future of Data Science In Libraries

Abstract The Data Science in Libraries Project is funded by the Institute for Museum and Library Services (IMLS) and led by Matt Burton and Liz Lyon, School of Computing & Information, University (...)

FAIR data principles : how well known or understood are they ?

In October 2017, ANDS, Nectar and RDS undertook a short survey to collect views amongst the research and research infrastructure community in Australia on the FAIR data principles. The (...)

Envisioning the Data Science Discipline | The Undergraduate Perspective : Interim Report

Description The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous (...)

Preliminary analysis : Introduction of FAIR data in Denmark

The Danish Agency for Science and Higher Education has commissioned Oxford Research and Højbjerre Brauer Schultz to carry out a preliminary analysis of the potential for implementing FAIR data in (...)

Recommendations for Supporting the Long Tail of Research Data

Summary: Major societal challenges such as health, climate change, energy, food availability, migration and peace depend on the contributions of a distributed and diverse international network of (...)

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