"Material or information on which an argument, theory, test or hypothesis, or another research output is based."
"What constitutes such data will be determined by the community of interest through the process of peer review and program management. This may include, but is not limited to: data, publications, samples, physical collections, software and models"
"Units of information created in the course of research"
"(i) Research data is defined as the recorded factual material commonly accepted in the scientific community as necessary to validate research findings, but not any of the following: preliminary analyses, drafts of scientific papers, plans for future research, peer reviews, or communications with colleagues."
Material or information necessary to come to your conclusion
Non-digital text (lab books, field notebooks)
Digital texts or digital copies of text
Computer Aided Design/CAD
Statistical analysis (SPSS, SAS)
Geographic Information Systems (GIS) and spatial data
Digital copies of images
Scientific sample collections
Matlab files & 3D Models
Metadata & Paradata
Standard operating procedures and protocols
Protein or genetic sequences
Collection of digital objects acquired and generated during research
What data do you expect to have?
How will you describe/document your data?
How will you store it?
What are your obligations for these data (storage/security)?
How will you expose these data?
How will you preserve these data?
What tools are you using for your data?
How much data?
Write a data abstract
Provide a data dictionary
Multiple locations: Here, near, and far
How will it be maintained(during and after)?
What will be shared?
Who is the audience?
Is the data citable?
Don't archive in proprietary format!
ASCII, PDF, .csv, FLAC, TIFF, JPEG2000, MPEG-4, XML, RDF, .txt, .r
Domain specific repositories
Standard ways to label fields
Specific variables and coding guidelines
Accepted hierarchies and directory structures
Include a readme text file with the following: