Ideally, file types for a project should be standard, non-proprietary, and open source. If these features are not possible, at the very least file format selection should be made with the suggested preferences of a digital archive in mind, or with an eye to the format with the greatest stability, longest period of usage, most widespread community, and most organized governing body for standards.
Analysis software often relies on proprietary file formats that are subject to obsolescence as new versions are created or tools lose relevance. Where possible, export data files to stable formats for long-term preservation, or convert proprietary files into equivalent standardized files that will be able to represent that data for preservation purposes.
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OpenDocument Format (e.g. OpenDocument Text, .odt)
Plain text (.txt)
Markdown and other human-readable markup languages deploying plain-text editing
Character-delimited files such as Comma Separated Value (.csv) or Tab Delimited (.tab)
Plain text (.txt)
Uncompressed TIFF (.tif)
JPEG 2000 (.mj2)
Free Lossless Audio Codec (.flac)
ESRI Shapefiles and supporting files (.shp, .shx, .dbf, .prj, .sbx, .sbn)
GeoTIFF (.tif, .tfw)
Markdown -> Other Formats Converter Transform your .MD files to HTML, PDF, EPUB, DOCX.
Stargazer R library for converting tables to LaTeX Stargazer is a new R package that creates LaTeX code for well-formatted regression tables, with multiple models side-by-side, as well as for summary statistics tables.
SPSS portable format (.por)
R file formats, i.e. script files (.R) data (.Rda, .Rdata) or markdown files (.Rmd)
Stata file formats, i.e. do-files (.do) and data files (.dta)
SAS file formats (.sas, .xpt, etc.)
JPEG (.jpeg, .jpg)
Photoshop files (.psd)
ESRI geodatabase formats (.gdb, .mdb)
Where possible given the limits of file formatting, encoding should be done using the Unicode system (UTF-8 or UTF-16), or using the older ASCII system that has been incorporated into Unicode.