Review 1

Review 2

Review 3

Review 4

Metareview

References

  1. California Digital Library (2018). Archival Resource Key (ARK) Identifiers. http://n2t.net/e/ark_ids.html

  2. Kunze, J. & Roberts, R. (2008). The ARK Identifier scheme. http://n2t.net/e/arkspec.txt

  3. Clark, J. (2016). PIDvasive:_What's possible when everything has a persistent identifier? PIDapalooza, November 10, 2016. Retrieved Jan 16, 2017. https://doi.org/10.6084/m9.figshare.4233839.v1

  4. Catalogue of Life: Annual Checklist(2015). Asterolibertia gibbosa (Gaillard) Hansf. 1949. http://www.catalogueoflife.org/annual-checklist/2015/details/species/id/4f5bf9e96f36e1c530b147c7105e865b

  5. Coyle, K. et al.(2014). How Semantic Web differs from traditional data processing. RDF Validation in the Cultural Heritage Community. International Conference on Dublin Core and Metadata Applications, Austin, Oct. 2014. Date accessed: 24 Mar. 2017. http://dcevents.dublincore.org/IntConf/dc-2014/paper/view/311

  6. Cruz, M., Kurapati, S., & Turkyilmaz-van der Velden, Y. (2018). The Role of Data Stewardship in Software Sustainability and Reproducibility. Zenodo. 2018-09-14. https://doi.org/10.5281/zenodo.1419085

  7. DataCite Metadata Working Group. (2017). DataCite Metadata Schema 4.1. https://doi.org/10.5438/0015

  8. Doorn, P., Dillo, I. (2017). Assessing the FAIRness of Datasets in Trustworthy Digital Repositories: A Proposal. IDCC Edinburgh, 22 February 2017. http://www.dcc.ac.uk/webfm_send/2481

  9. Duerr, R.E. et al. (2011). (2011). On the utility of identification schemes for digital earth science data: an assessment and recommendations . Earth Science Informatics 4:139. ISSN: 1865-0473 (Print) 1865-0481 (Online) https://doi.org/10.1007/s12145-011-0083-6

  10. Dunning, A., de Smaele, M., Böhmer, J. (2017). Are the FAIR Data Principles fair? Practice Paper. 12th International Digital Curation Conference (IDCC 2017), Edinburgh, Scotland, 20 - 23 February 2017. https://doi.org/10.5281/zenodo.321423

  11. Fenner, M. (2016). Cool DOI's.. DataCite Blog. https://doi.org/10.5438/55e5-t5c0

  12. Force11 (2016a). The FAIR Data Principles. https://www.force11.org/group/fairgroup/fairprinciples

  13. Force11 (2016b). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing version B1.0. https://www.force11.org/fairprinciples

  14. FAIRMetrics (2018). FM-F2 https://purl.org/fair-metrics/FM_F2

  15. FAIRMetrics (2018). FM_R1-3 https://purl.org/fair-metrics/FM_R1.3

  16. Data Citation Synthesis Group, Martone M. (ed.)(2014). Joint Declaration of Data Citation Principles San Diego, CA: FORCE11 https://www.force11.org/group/joint-declaration-data-citation-principles-final

  17. Force11 (2016). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing version b1.0 San Diego, CA: FORCE11 https://www.force11.org/node/6062/#Annex6-9

  18. Gertler, A., Bullock, J. (2017). Reference Rot: An Emerging Threat to Transparency in Political Science. The Profession. http://doi.org/10.1017/S1049096516002353

  19. Gilmartin, A. (2015). DOIs and matching regular expressions. Crossref Blog, 2015-08-11. https://www.crossref.org/blog/dois-and-matching-regular-expressions/

  20. Global Names Architecture - GNA (2015). New UUID v5 Generation Tool -- gn_uuid v0.5.0. http://globalnames.org/news/2015/05/31/gn-uuid-0-5-0/

  21. Global Names Architecture - GNA (2015b). Global Names Resolver http://resolver.globalnames.org/

  22. Guo, Xinjiang (2016). Yale Persistent Linking Service PIDapalooza, November 10, 2016. Retrieved Jan 16, 2017. https://doi.org/10.6084/m9.figshare.4235822.v1

  23. Guralnick, R. et al. (2015). Community Next Steps for Making Globally Unique Identifiers Work for Biocollections Data. ZooKeys 494: 133–154. https://doi.org/10.3897/zookeys.494.9352

  24. Hayes, C. (2016). oaDOI: A New Tool for Discovering OA Content. Scholars Cooperative, Wayne State University. http://blogs.wayne.edu/scholarscoop/2016/10/25/oadoi-a-new-tool-for-discovering-oa-content/

  25. Hayes, C. (2017). Unpaywall: A New OA Discovery Tool. Scholars Cooperative, Wayne State University. https://blogs.wayne.edu/scholarscoop/2017/03/20/unpaywall/

  26. Hennessey, J., Xijin Ge, S. (2013). A Cross Disciplinary Study of Link Decay and the Effectiveness of Mitigation Techniques. Proceedings of the Tenth Annual MCBIOS Conference. BMC Bioinformatics, 14(Suppl 14):S5. https://doi.org/10.1186/1471-2105-14-S14-S5

  27. Jones, SM., Van de Sompel, H., Shankar, H., Klein, M., Tobin, R., Grover, C. (2016). Scholarly Context Adrift: Three out of Four URI References Lead to Changed Content. PLoSONE 11(12): e0167475. https://doi.org/10.1371/journal.pone.016747

  28. Kille, L.W. (2015). The growing problem of Internet "link rot" and best practices for media and online publishers. https://journalistsresource.org/studies/society/internet/website-linking-best-practices-media-online-publishers

  29. Klein, M., Van de Sompel, H., Sanderson, R., Shankar, H., Balakireva L., Zhou, K., Tobin, R. (2014). Scholarly Context Not Found: One in Five Articles Suffers from Reference Rot. PLoS ONE 9(12): e115253. https://doi.org/10.1371/journal.pone.0115253

  30. Kunze, J., Russell, M. (2006). Noid - search.cpan.org. http://search.cpan.org/~jak/Noid/noid

  31. Li, C.& Sugimoto, S. (2014). Provenance Description of Metadata using PROV with PREMIS for Long-term Use of Metadata. Proceedings of the International Conference on Dublin Core and Metadata Applications (Austin TX, 2014). http://dcpapers.dublincore.org/pubs/article/view/3709

  32. McMurry, JA. et al. (2017). Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. PLoSBiol 15(6):e2001414.. http://doi.org/10.1371/journal.pbio.2001414

  33. Page, R. (2016). Towards a biodiversity knowledge graph. Research Ideas and Outcomes 2: e8767 (07 Apr 2016). http://doi.org/10.3897/rio.2.e8767

  34. Paskin, N. (1999). Toward Unique Identifiers. Proceedings of the IEEE 87(7):1208 - 1227. https://doi.org/10.1109/5.771073

  35. Patterson, D. et al. (2016). Challenges with using names to link digital biodiversity information. Biodiversity Data Journal 4: e8080 (25 May 2016). https://doi.org/10.3897/BDJ.4.e8080

  36. Philipson, J. (2017). About a BUOI: joint custody of persistent universally unique identifiers on the web, or, making PIDs more FAIR. SAVE-SD 2017 http://cs.unibo.it/save-sd/2017/papers/html/philipson-savesd2017.html

  37. Philipson, J. (2019). The Red Queen in the Repository: metadata quality in an ever-changing environment.IDCC 2019. (In press). https://doi.org/10.5281/zenodo.2276777

  38. SESAR - System for Earth Sample Registration (2017). What is the IGSN? http://www.geosamples.org/aboutigsn

  39. Signposting.org (2017). Identifier - Signposting the Scholarly Web http://signposting.org/identifier/

  40. Unpaywall.org (2018). Frequently Asked Questions http://unpaywall.org/faq

  41. Wikipedia (2017a). Link rot. (last modified on 13 March 2017, at 17:46. Retrieved 2017-03-14.) https://en.wikipedia.org/wiki/Link_rot

  42. Wikipedia (2017b). Universally unique identifier. (last modified on 29 January 2017, at 15:28. Retrieved 2017-01-30.) https://en.wikipedia.org/wiki/Universally_unique_identifier

  43. Van de Sompel, H., Klein, M., Jones, S.M. (2016). Persistent URIs Must Be Used To Be Persistent. WWW 2016. arXiv:1602.09102v1 [cs.DL] 29 Feb 2016

  44. Van de Sompel, H. (2016). A Signposting Pattern for PIDs. PIDapalooza, Reykjavik, November 2016. https://doi.org/10.6084/m9.figshare.4249739.v1

  45. Van de Sompel, H. (2018).cite-as: A Link Relation to Convey a Preferred URI for Referencing https://datatracker.ietf.org/doc/draft-vandesompel-citeas/

  46. Wass, J. (2016). When PIDs aren't there. Tales from Crossref Event Data. PIDapalooza, Reykjavik, November 2016. Retrieved: 11:57, Mar 20, 2017 (GMT). https://doi.org/10.6084/m9.figshare.4220580.v1

  47. Wass, J. (2017). URLs and DOIs: a complicated relationship. CrossRef Blog, 2017 January 31. https://www.crossref.org/blog/urls-and-dois-a-complicated-relationship/

  48. Wilkinson, M. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3:160018. http://doi.org/10.1038/sdata.2016.18

  49. Wilkinson, M., Schultes, E., Bonino, L., Sansone, S., Doorn, P. & Dumontier, M. (2018, July 4). FAIRMetrics/Metrics: FAIR Metrics, Evaluation results, and initial release of automated evaluator code. Scientific Data. Zenodo. http://doi.org/zenodo.1305060

  50. Wimalaratne, S. et al. (2015). SPARQL-enabled identifier conversion with Identifiers.org Bioinformatics, 31(11), 2015, 1875–1877. http://doi.org/10.1093/bioinformatics/btv064

  51. Zhou, K. et al. (2015). No More 404s: Predicting Referenced Link Rot in Scholarly Articles for Pro-Active Archiving. In: Proceedings of the 15th ACM/IEEE-CE on Joint Conference on Digital Libraries. JCDL '15, p. 233-236. http://doi.org/10.1145/2756406.2756940