Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

Version 1 Next »

Data Curation is an Advanced Data Management and Curation service offered by the UNC Research Data Management Core (RDMC). This RDMC Add-on Data Management Service is designed to ensure that datasets housed in data repositories are discoverable, understandable, and usable. Members of the RDMC research data stewardship team work with investigators and project teams to develop and execute data curation workflows for data file packaging and repository ingest that align with standards and best practices for data preservation and data quality.

To learn more about the RDMC Data Curation service, submit a request via the RDMC service portal.

What is data curation?

Data curation refers to the various processes involved in ensuring that data can be discovered, accessed, understood, and used now and into the future. These processes are part of a disciplined practice that considers the technical aspects of data within the broader context of responsible and ethical conduct of research, scientific rigor and integrity, disciplinary culture and practice, and stakeholder mandates and expectations.

The practice of data curation includes

The data curator

what does a data curator do and what are their qualifications

Data curation standards and best practices

Data Curation Lifecycle

CURATE(D)

FAIR Principles

10 Things

OAIS

Why curate data?

benefits of curating data

RDMC Data Curation Service

what is included

how we assess the scope of work

example

Budgeting for data curation

Data curation is considered by federal funding agencies to be an allowable cost that can be included in the proposal budget.

Budget justification

budget justification boilerplate

  • No labels