Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Research Data Management: diverse approaches and tools for different needs

237 views

Published on

Poster presented at Open Repository 2018, Bozeman, Montana

Nowadays, in all disciplines, the awareness that the data produced in the research field must be managed to guarantee its long-term use, sharing and preservation is acquired.

However, to achieve these objectives, different open source solutions can be used, depending on the characteristics of the data to be managed, on the type of institution or of the needs of the research group. There are platforms built exclusively for data management, such as Dataverse and CKAN, which also provide users with analysis tools, and solutions, such as DSpace-CRIS and DSpace-GLAM, focused on the contextualization of the datasets that can be obtained by linking them to other entities. The presentation is aimed at presenting the different contexts and case studies in which they can be used at their best, demonstrating how each of them can respond to the needs of different situations and institutions, but also how, in some cases, it is necessary to integrate them with each other and also with specific platforms for preservation such as DuraCloud, to implement a complete ecosystem for Research Data Management.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Research Data Management: diverse approaches and tools for different needs

  1. 1. Research Data Management: diverse approaches and tools for different needs Andrea Bollini, Claudio Cortese, Susanna Mornati 4Science, Italy A variety of Open Source RDM tools is available to satisfy FAIR requirements. The right choice is driven by users’ needs, context, data types, etc. Visit our poster to know more on these topics

×