UPBox and DataNotes: a collaborative data management environment for the long tail of research data: Paper - iPres 2013 - Lisbon
JoÃÂ£o Rocha da Silva
JosÃÂ© Pedro Barbosa
JoÃÂ£o Correia Lopes
Current research data management workflows are often an a posteriori process, with research datasets being targeted for preservation actions after the whole research process is completed. This approach works well for research publications but not for research datasets due to their dynamic nature. It is important to gather data production contexts, so the data management process should be present since the start of the research, effectively becoming a part of the workflow. Due to their rigid work ow-based deposit approach, widely used repository solutions are not intended to support the fast-paced evolution of datasets as they are produced. In this paper, we present a collaborative data management environment designed to help a small research group store and describe their datasets in preparation for later deposit in a data repository. It is built on two integrated, open-source components: UPBox - a private cloud and web-based file storage environment - and DataNotes - a solution tailored for researchers to collaboratively describe their data, based on Semantic MediaWiki. Preliminary usage tests have shown that the features of this solution respond to data management needs in research groups.
Dieses Werk bzw. dieser Inhalt steht unter einer
CC BY-SA 2.0 AT - Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 2.0 Österreich Lizenz.
CC BY-SA 2.0 AT
Research data management, data repositories, Semantic MediaWiki, digital curation, iPRES, Lisbon
Conferences, Conference 2013