Data management plans (DMPs) are documents in which researchers define the data to be created and describe their plans for managing and sharing this. The current manifestation of a DMP - a static document often created before a project begins - contributes to the perception that they are an annoying administrative exercise. There is growing recognition that the content held within DMPs could be put to far better use, and that by making DMPs more active and machine-actionable, they would derive more value for all stakeholders involved.
We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds.
DARIAH is an ERIC, a pan-european infrastructure for arts and humanities scholars working with computational methods. It supports digital research as well as the teaching of digital research methods.
DMPonline helps you to create, review, and share data management plans that meet institutional and funder requirements. It is provided by the Digital Curation Centre (DCC).
EGI is a federated e-Infrastructure set up to provide advanced computing services for research and innovation.
The EGI e-infrastructure is publicly-funded and comprises hundreds of data centres and cloud providers spread across Europe and worldwide.
European researchers and practitioners from any research discipline can preserve, find, access, and process data in a trusted environment, as part of the EUDAT Collaborative Data Infrastructure a network of collaborating, cooperating centres, combining the richness of numerous generic and community-specific data repositories with the permanence and persistence of some of Europe’s largest scientific data centres.
EUDAT offers heterogeneous research data management services and storage resources, supporting multiple research communities as well as individuals, through a geographically distributed, resilient network distributed across 15 European nations and data is stored alongside some of Europe’s most powerful supercomputers.
This site is designed to help librarians share workflows and best practices across institutions. If you are interested in contributing to the site, please let us know!
We make no claim to authoring/creating the workflows presented here (except, of course, when they are ours!) Wherever possible, we list those people and institutions responsible for developing the workflows.
Austin Principles for Data Citation in Linguistics (Version 1.0), a set of guidelines that enable linguists to make informed decisions regarding the accessibility and transparency of their research data. The principles and their accompanying web site aim to meet the needs of researchers and students, as well as data managers, editors and publishers, interested in complying with current trends and requirements regarding research data management.