Programs and file formats change over time, which means that old files may become difficult to read. This complicates the long-term use of digital information.
On this page we explain the minimum requirements for the acceptance of publications into the repositories of the ETH Library (Research Collection and ETH Data Archive). Furthermore, we evaluate file formats regarding their suitability for archiving. We also explain how to convert your files to suitable formats, and how to use the software DROID to identify unsuitable files, even within large data collections.
Research data and supplementary materials
The use of formats suitable for long-term archiving is not a requirement for the publication of data in the ETH Zurich repositories. However, please be aware that problematic formats can significantly impede future use. Therefore, if possible, use the file formats listed in the left and centre columns of Table 1.
File collections containing a large number of files or subfolders should be published as uncompressed *.zip files on Windows computers and as *.tar files on MacIntosh computers (see Preparing your files). Since these are well standardised formats, uncompressed *.zip and *.tar files can be unpacked in the long term. However, for long-term use of your file collection, the file formats within these container files must also be usable in the long term. Please note that we only offer limited services to validate and curate the contents of *.zip and *.tar files. Table 1: Our assessment of future readability of some common file formats. (For more detailed information we refer to the recommendations of the Swiss Federal Archives (German), KOST (German or French), Memoriav, the Forschungsdatenzentrum Archäologie & Altertumswissenschaften IANUS (Germany), the Library of Congress and the Harvard Library.) File type Recommended Suitable to only a limited extent Not suitable for archiving PDF (*.pdf) with embedded fonts Rich Text Format (*.rtf) HTML and XML (ASCII text is readable over the long term; avoid external links if possible) Not accepted for publication, OK for supplementary materials: Word *.docx PowerPoint *.pptx LaTeX, TeX (ASCII text is readable over the long term; any open source software used for formatting and the resulting PDF should be included) OpenDocument formats (*.odm, *.odt, *.odg, *.odc, *.odf) Spreadsheets or tables JPEG2000 (*.jp2, lossless compression) Graphics InDesign (*.indd), Illustrator (*.ait) Encapsulated Postscript (*.eps) Video 2 1 PDF/A-3 allows a wide variety of file formats to be attached, even if these are not suitable for archiving. We therefore rate PDF/A-3 as "suitable to only a limited extent". The ETH Data Archive will neither check nor curate attached files. 2 In addition to the file format (or container format), the codec and compression method are also important. See Ianus, Memoriav and KOST for further information. The Motion JPEG 2000 file format (*.mj2, *.mjp2) was removed from the list on 24 October 2024, as it is no longer widely used. 3 The QuickTime Movie format was downgraded from „Recommended“ to „Suitable to only a limited extent“ in the 21 November 2018 version of this document,. Apple discontinued support for the Windows version of QuickTime Player in 2016. Consequently, Windows Media Player only supports QuickTime Movie file versions 2.0 or earlier. 4 Text must be encoded as ASCII, UTF-8 or UTF-16 (the latter with BOM). Text according to ISO 8859-1 is not suitable. 5 Markdown according to CommonMark specification (https://commonmark.org). If you are planning to use your data for up to ten years, we recommend the formats in the left and the centre columns of Table 1. Formats that are less well-known but commonly used for this type of data in your field are also usually suitable. The following points should also be noted: For storage of more than ten years, we can only recommend the file formats listed in the left-hand column of Table 1, in particular PDF/A, ASCII text and TIFF. PNG, SVG and JPEG2000 may also be suitable. Note that the future readability of a file also depends heavily on the file features used: Reading advanced features, such as video data within a PDF file, is less reliable than reading basic features. To ensure that files can be used for more than ten years, the file formats should be very widespread and, if possible, follow standards that are open and not proprietary. However, it cannot be guaranteed that your data will remain readable in the long term, as this depends on future software developments. The ETH Library reviews the archived file formats annually as part of a Format Monitoring Report. If possible, outdated formats will be converted into more common formats that offer a better perspective for preservation. The original file is always kept. We recommend using the conversion methods shown in Table 2. Useful conversions also depend on the type of information that is stored in the files. For example, you could convert your Excel spreadsheets to *.csv files. However, if the Excel file contains also macros, formulas or embedded objects, this information will be lost in the conversion. You should visually check the quality of your converted files. Both the original and the converted files should be archived. Some more recent file types (*.docx, *.xlsx, *.pptx) are so-called container files. By adding the file extension “.zip” to the file name, you can view the individual components and also save suitable simpler files separately. Table 2: Recommended file conversions For large data collections, the free JAVA application DROID provides an overview of your file formats. This tool can also detect unknown file formats as well as inconsistencies between file extensions and file contents (see Figure 1). With the exception of text files, most files contain a special string of characters that indicates the file format. This string of characters is also referred to as 'signature' or 'magic number'. If DROID finds a known signature within the file, it is used to determine the file type. In this case, "Signature" or "Container" is displayed in the "Method" column (see Figure 1). If the file's signature is not consistent with its extension, DROID displays a warning (yellow triangle with exclamation mark). Pure text files (*.txt) or tables in text format (*.csv files) do not contain any signatures. DROID classifies such files based on their file extension. If there is no signature and the file extension does not indicate that the file is text-based, the file is not classified at all (see the bottom two files in Figure 1). The ETH Library recommends and configures the software tool docuteam packer for certain customers. This tool can also detect files with unclear or unknown formats and generate a list similar to that created by DROID. Figure 1: Screenshot showing DROID verification for some test files. Files with unclear or unknown formats can be easily detected. General Remark: Due to software updates, the design of the user interface can change and the screenshots shown above may not correspond to the actual appearance. But the process and the functionalities remain the same.Assessment of various file formats
Formatted Text Plain Text Raw data and workspace Raster image (bitmap) Vector graphics CAD Audio Footnotes
Suitable to only a limited extent
Recommended file formats
Recommended conversion methods
File type Recommended conversions Text Tables Workspace Dump in Matlab, R or S-Plus Graphics File format verification with DROID

