This guide details ways to organize, manage, and share your 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.
What is research data?
Research data are the materials gathered in the course of the research process, from which results are produced and conclusions drawn. Data may take many forms depending on discipline, and may include numeric, qualitative, and visual (e.g., recordings, photographs) materials. Funding agencies and journal publishers will often provide their own definitions, for example the US Office of Management and Budget (circular A-110) defines research data as the "the recorded factual material commonly accepted in the scientific community as necessary to validate research findings". Researchers may also want to consider ancillary information, such as protocols, methods, scripts, and algorithms to manage and share along with their primary research data.
What is research data management?
Data management concerns the active management of data to maintain and extend its value over time. It includes effectively organizing data for access, documenting context for reproducibility, and securely preserving the physical integrity of the work.
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:
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