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Technology changes quickly. With that change, certain previously preferred file formats and media will stop being used in favor of other, more advantageous ones—this is called obsolescence.
This is a concern when working with research data because we know that, as researchers, our current methods for creating, storing, and sharing data could potentially become obsolete and be replaced by new formats.

To help thwart obsolescence as best we can, we want to try to ensure that we pick the most sustainable options for our data over time. Sustainability in this case means formats or media that are less susceptible to changes in technology. Below you’ll find some tips for this.
In general, pick file formats that:
Physical devices and media have a lifespan. While devices we use for storing data have improved exponentially over the last twenty years, expect external hardware devices to have a lifespan of 3 to 5 years. Plan on migrating your files every few years if you use an external hard drive to prevent data loss!
You can follow best practices for your type of data when selecting a file format to increase its sustainability. Choosing a sustainable file format will increase the likelihood that you and others will be able to access your data in the future. For each type of data, the chart below suggests recommended formats that are prioritized and other acceptable formats.
| Type of Data | Recommended Formats | Acceptable Formats |
|---|---|---|
| Quantitative tabular data with extensive metadata. A dataset with variable labels, code labels, and defined missing values, in addition to the matrix of data. | Proprietary formats of statistical packages e.g. SPSS (.sav), Stata (.dta), .sas7bdat. Delimited text and command (‘setup’) file (SPSS, Stata, SAS, etc.) containing metadata information. Some structured text or mark-up file containing metadata information, e.g. DDI XML file. | SPSS portable format (.por). MS Access (.mdb/.accdb). |
| Quantitative tabular data with minimal metadata. A matrix of data with or without column headings or variable names, but no other metadata or labeling. | Comma-separated values (CSV) file (.csv). Tab-delimited file (.tab). Including delimited text of given character set with SQL data definition statements where appropriate. | Delimited text of given character set – only characters not present in the data may be used as delimiters (.txt). Widely-used formats: MS Excel (.xls/.xlsx), MS Access (.mdb/.accdb), OpenDocument Spreadsheet (.ods). |
| Geospatial data. Vector and raster data. | ESRI Shapefile (essential – .shp, .shx, .dbf, optional – .prj, .sbx, .sbn). Geo-referenced TIFF (.tif, .tfw). CAD data (.dwg). Tabular GIS attribute data. | ESRI Geodatabase format (.mdb). MapInfo Interchange Format (.mif) for vector data. Keyhole Mark-up Language (.kml). Adobe Illustrator (.ai), CAD data (.dxf or .svg). Binary formats of GIS and CAD packages. |
| Qualitative data. Textual. | eXtensible Mark-up Language (XML) text according to an appropriate Document Type Definition (DTD) or schema (.xml). Rich Text Format (.rtf). Plain text data, ASCII (.txt). | Hypertext Mark-up Language (.html). Widely-used formats: MS Word (.doc/.docx). Some software-specific formats: NUD*IST, NVivo and ATLAS.ti. |
| Digital image data. | TIFF version 6 uncompressed (.tif). Digital Imaging and Communications in Medicine (DICOM) (.dcm, .dcm30) – for CT/MRI data. | JPEG (.jpeg, .jpg) but only if created in this format. TIFF (other versions) (.tif, .tiff). Adobe Portable Document Format (PDF/A, PDF) (.pdf). Standard applicable RAW image format (.raw). Photoshop files (.psd). BMP (.bmp) but only if created in this format. PNG (.png) but only if created in this format. |
| Digital audio data. | Free Lossless Audio Codec (FLAC) (.flac). | MPEG-1 Audio Layer 3 (.mp3) if original created in this format. Audio Interchange File Format (.aif). Waveform Audio Format (.wav). |
| Digital video data. | MPEG-4 (.mp4). OGG video (.ogv, .ogg). motion JPEG 2000 (.mj2). | MOV (.mov) Windows Media Video (WMV) (.wmv). WebM (.webm). |
| Documentation and scripts. | Rich Text Format (.rtf). PDF/A or PDF (.pdf). HTML (.htm). OpenDocument Text (.odt). R Markdown files (.rmd) (with HTML version as well). | Plain text (.txt). Widely-used proprietary formats: MS Word (.doc/.docx), MS Excel (.xls/.xlsx). XML marked-up text (.xml) according to an appropriate DTD or schema, e.g. XHMTL 1.0. |
Open, non-proprietary file formats are in less danger from obsolescence. Which of these four file formats would you use for the following types of research data?
Images
Spreadsheets
Text
Audio
[1] UK Data Service, “Recommended formats,” University of Essex, University of Manchester, Jisc, UCL, and University of Edinburgh. Retrieved from https://ukdataservice.ac.uk/learning-hub/research-data-management/format-your-data/recommended-formats/.