Publication

Landscape of data repositories and platforms

Abstract

Scholarly Communication is still shifting from papers to richer content, as for instance research data and code. Data dissemination has a crucial role and yet it is in its infancy, with visible fragmentation and too many unknowns for researchers to get onboard. With our work, we want to mitigate this situation and help researchers decide which platforms are best suited to disseminate their data and code. The table we elaborated is based on multiple feedback from EPFL researchers, and its purpose is both to capture the variety of use-cases, and to guide researchers to make their choice. This poster is principally conceived for colleagues working in university services related to Open Science and Research Data Management, to provide them with an example of collaboration that might be reproduced in their institutions, and to create awareness on the challenges that such an endeavor entails. In this publication, we also include the current version of the comparative table of data dissemination solutions.

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Data
In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.
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Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.
Data analysis
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
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