The DMPTool is a free resource that helps researchers create data management plans (DMPs) necessary to meet institutional and funding agency requirements. It provides customized templates for creating DMPs that guide researchers in addressing data-related requirements.
Dryad is a curated digital repository that makes a wide variety of data types accessible, reusable, and citable. Researchers can submit their datasets independently or as part of a manuscript submission for its partner journals.
Click here for more info on publishing your data with Dryad.
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.
Research Data Management Life Cycle (source: UCSC)
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.
The UCI Libraries Digital Scholarship Services (DSS) fosters the use of digital content and transformative technology in scholarship and academic activities. DSS works with the campus community to publish, promote, and preserve the digital products of research in several areas. DSS can help you with all stages of data management required by funding agencies:
