Welcome!
This guide details ways to organize, manage, and share your research data to increase impact and ensure research reproducibility, and help meet journal and funder data sharing requirements. Research data management has become an important skill required of researchers as funding agencies and journal publishers increasingly implement data sharing policies.
One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The FAIR Data Principles are a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable.
From: FORCE11/The FAIR Data Principles
F1. (meta)data are assigned a globally unique and eternally persistent identifier.
F2. data are described with rich metadata.
F3. (meta)data are registered or indexed in a searchable resource.
F4. metadata specify the data identifier.
A1 (meta)data are retrievable by their identifier using a standardized communications protocol.
A1.1 the protocol is open, free, and universally implementable.
A1.2 the protocol allows for an authentication and authorization procedure, where necessary.
A2 metadata are accessible, even when the data are no longer available.
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles.
I3. (meta)data include qualified references to other (meta)data.
R1. meta(data) have a plurality of accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible data usage license.
R1.2. (meta)data are associated with their provenance.
R1.3. (meta)data meet domain-relevant community standards.
Research Data Management Life Cycle (source: UCSC)
The UCI Libraries' Data, Publishing, and Digital Scholarship (DPDS) department fosters the use of transformative technology to manage, preserve, and share digital scholarship in an increasingly dynamic and computationally-rich research ecosystem. DPDS provides infrastructure, education and consultation services that support research data management and curation, open access publishing, digital collection-building, and critical literacies for digital research across disciplines.
