Metadata and Archiving – Data Days Autumn 2025

M E TA D ATA A N D A R C H I V I N G M E TA D ATA A N D A R C H I V I N G M A R A V A N D E R P L O E G , M E L A N I E K A R L S S O N D A T A D A Y S A U T U M N 2025 M A R A V A N D E R P L O E G , M E L A N I E K A R L S S O N D A T A D A Y S A U T U M N 2025 [email protected] [email protected] MELANIE KARLSSON, PHD SENIOR ACADEMIC LIBRARIAN [email protected] MARA VAN DER PLOEG, PHD SENIOR ACADEMIC LIBRARIAN [email protected] G OA L S F O R TO DAY Why archive your data? Where to archive your data? How to archive your data? W H Y A R C H I V E Y O U R D ATA ? T H E W H A T A N D W H Y O F O P E N S C I E N C E W H Y Y O U S H O U L D S H A R E Y O U R D A T A •Research output •Being a good person scientist •Give back to society I T ' S N O T J U S T T H E L I B R A R Y W H O W A N T S T H I S … Governments Journals Universities Funders W H E R E T O A R C H I V E Y O U R D ATA ? H O W T O F I N D R E P O S I T O R I E S ? https://dataverse.no/ https://openpolar.no/ https://www.re3data.org/ TROLLing https://site.uit.no/trolling/ •Ask colleagues •Ask the library •Search engines, archive register, archives M E T A D A T A •Author(s) •Title •Description •Keywords •Funding information •Collaborators •Data sources •Geographical information •Subject specific metadata •Terms of reuse •…Metadata according to DataverseNO R E A D M E •Author(s) •Title •Description •Detailed methodology description (including data processing) •File overview (list of files and relationships between them) •Description of your data files (variable descriptions, missing data codes, etc.) •... ReadMe-file according to DataverseNO •Human readable •Files should be named consistently •Describe the content, but short (< 25 signs) •Machine readable •Use underscores ( _ ) instead of spaces •Avoid special characters •“ / \: * . ? ‘ < > [ ] ( ) & $ æÆ øØ åÅ •Use the international dating convention •YYYY-MM-DD Joe’s notes from today.txt Tromsø&Ålesund.txt Mynotes_versjon1.txt Mine notater ny.txt figure 1.png Thesis_DONTdelete_new_draft_final*_last_v2.txt Joes_filenames_are_getting_better.txt Tromsoe_og_aalesund.txt 2023-02-10_notes.txt 2023-02-11_notes.txt Fig01_length-vs-interest.png PhD_thesis_2023_finalversion.txt Inspired by Jenny Brian’s slides (link) SOME RULES FOR N A M I N G F I L E S … P R E F E R E D F I L E F O R M A T S 1 American Standard Code for Information Interchange 2 Unicode Transformation Format .xlsx .docx .sav .psd ... .csv .txt .dat/.sps .jpg/.png .r/.mat ... Good file formats are: •non-proprietary •open, with documented international standards •in common usage by the research community •uncompressed (storage space permitting) •using standard character encodings like ASCII1 or UTF-82 User guide YOUR TURN! Ready to deposit data? 1.Find a repository 2.Start the process Not ready to deposit data? 1.Find a repository for later 2.Start thinking about how to document your data (according to the repository you chose) Not ready to deposit data? 1.Use demo.dataverse.no 2.Try it out! M O R E I N F O R M A T I O N & S U P P O R T •UiT Research Data Portal (link) •Tips •Overview of webinars/courses •DataverseNO deposit guidelines (link) • Tips on how to prepare and describe data •Email us! [email protected] "Help!" by lydia_shiningbrightly is licensed under CC BY 2.0