A Vocabulary for Persistence
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Two themes 1. Proposed metadata for “persistence statements” What you mean by persistence Informing user linking choices 2. Metadata hardened in open yamz.net dictionary Crowdsourced, but with reputation-based voting Every term has a unique persistent identifier (PID)
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A Vocabulary for Persistence
- 1. A Vocabulary for Persistence John Kunze, Jeremy DeBarry, Ma<hew Hanlon, Calvert Scout, Sandra Sweat
- 2. 2 Two themes 1. Proposed metadata for “persistence statements” • What you mean by persistence • Informing user linking choices 2. Metadata hardened in open yamz.net dicNonary • Crowdsourced, but with reputaNon-based voNng • Every term has a unique persistent idenNfier (PID) 2
- 3. • Open idenNfiers deserve their own fesNval • 9 and 10 November in Reykjavik, Iceland! • If you’re doing something interesNng with PIDs (or you want to!) come and share your ideas with a crowd of like- minded innovators
- 4. 4 “Persistence” used, but not defined • Persistence is not binary • Persistence is usually a forecast about stubbornness or sNckiness • Persistence is nuanced and dimensional 4
- 6. 6 Use cases and goals • Classic case: reproducible science • Overlooked cases: data papers, sohware releases • Goal: propose persistence metadata • Goal: whatever link you find, be able to query the provider for its “persistence statement” 6
- 7. 7 Sejng user expectaNons Terms for content variance • frozen – unchanging bitstream • keeping – unchanging content • fixing – subject to correcNon • rising – subject to acNve enhancement • moul7ng – unchanging theme 7
- 8. 8 Sejng user expectaNons Terms for object availability • finite – ends at known date or event • indefinite – no special commitment • life7me – as long as the provider exists • subinfinite – beyond provider’s lifeNme 8
- 9. 9 Sejng user expectaNons A term for objects that grow in a certain way • waxing – non-disrupNve growth Examples • live sensor data feeds • serial publicaNons 9
- 10. 10 Why should we believe you? Terms specifying the nature of the provider • name – of organizaNon • iden7fier – unique organizaNonal idenNfier • mission – is preservaNon in your mission? • succession policy 10
- 11. 11 Referencing in presence of versions Terms for content referencing • extraversioned – “10.2345/67, Version 4” • intraversioned – “10.2345/67.V4” • introversioned – “10.2345/6789” 11
- 13. 13 Naming and remediaNon policy If there’s a problem, what repair priority? • high – high priority • standard – not high priority Forming idenNfier strings • NR – non-reassignment • OP – opaque idenNfiers • CC – check character added 13
- 14. 14 Concept ids (naming and remediaNon) If there’s a problem, what repair priority? • high – n2t.net/ark:/99152/h1207 • standard – n2t.net/ark:/99152/h1208 Forming idenNfier strings • NR – n2t.net/ark:/99152/h1215 • OP – n2t.net/ark:/99152/h1218 • CC – n2t.net/ark:/99152/h1219 14
- 16. 16 Problem: tradiNonal standardizaNon • Change by commi<ee is ugly, costly, and slow • Example: Dublin Core, 15 cross-domain terms • same terms aher 5 years as aher 11 months • new terms banned in fear of fragile consensus 16 European Parliament Technology - DG ITEC @ flickr
- 22. 22 An alternate metadata universe • Vision: one dicNonary, one namespace • All research domains, any part of “metadata speech” • Names, values, units, relaNonships, ... 22 SimonRobertson@flickr
- 25. 25 YAMZ usage pa<erns 25 Search for terms (words and definiNons) find a term you love great – use it find a term you kind of love try it out, comment, engage with author no workable term found instantly enter own term and watch for comments find a word you love “I want that word!”, so enter a compeNng term but a defini7on you hate
- 27. 27 In conclusion • Choosing which objects to cite is hard • Few well-defined terms to express persistence • … or to set user expectaNons of change • Thanks to yamz.net for be<er, cheaper, faster vocabulary-building; projects include • CiNzen Science; DesignSafe; Persistence statements 27