References
- Bandrowski, A, Brush, M, Grethe, JS, Haendel, MA, Kennedy, DN, Hill, S, et al. 2015. The Resource Identification Initiative: A cultural shift in publishing. F1000Research, 4: 134. DOI: 10.12688/f1000research.6555.2
- Borgman, CL. 2015. Big Data, Little Data, No Data. MIT Press. DOI: 10.7551/mitpress/9963.001.0001
- Buck, JJH, Bainbridge, SJ, Burger, EF, Kraberg, AC, Casari, M, Casey, KS, Schewe, I, et al. 2019. Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability. Frontiers in Marine Science, 6. DOI: 10.3389/fmars.2019.00032
- Burton, A, Aryani, A, Koers, H, Manghi, P, La Bruzzo, S, Stocker, M, Fenner, M, et al. 2017. The Scholix Framework for Interoperability in Data-Literature Information Exchange. D-Lib Magazine, 23(1/2). DOI: 10.1045/january2017-burton (
http://scholix.org ) - Candela, L, Castelli, D, Manghi, P and Tani, A. 2015. Data journals: A survey. Journal of the Association for Information Science and Technology, 66(9): 1747–1762. DOI: 10.1002/asi.23358
- Devaraju, A, Klump, J, Cox, SJD and Golodoniuc, P. 2016. Representing and publishing physical sample descriptions. Computers & Geosciences, 96: 1–10. DOI: 10.1016/j.cageo.2016.07.018
- Fenner, M and Aryani, A. 2019. Introducing the PID Graph (Version 1.0). DataCite Blog. DOI: 10.5438/JWVF-8A66
- Fredericks, J and Botts, M. 2018. Promoting the capture of sensor data provenance: a role-based approach to enable data quality assessment, sensor management and interoperability. Open Geospatial Data, Software and Standards, 3(1). DOI: 10.1186/s40965-018-0048-5
- Haak, LL, et al. 2012. ORCID: a system to uniquely identify researchers. Learned Publishing, 25(4): 259–264. DOI: 10.1087/20120404
- International Vocabulary of Metrology. Basic and General Concepts and Associated Terms (VIM 3rd edition, 2012).
https://www.bipm.org/en/publications/guides/#vim . - Isaac, A and Summers, E (eds.). SKOS Simple Knowledge Organization System Primer. W3C Working Group Note 18 August 2009.
https://www.w3.org/TR/skos-primer/ . - Klump, J and Huber, R, 2017. 20 Years of Persistent Identifiers – Which Systems are Here to Stay? Data Science Journal, 16: 9. DOI: 10.5334/dsj-2017-009
- Kokkinaki, A, Darroch, L, Buck, J and Jirka, S. 2016. Semantically Enhancing SensorML with Controlled Vocabularies in the Marine Domain. Proceedings of the Geospatial Sensor Webs Conference, Munster, Germany,
August 29–31 .CEUR Workshop Proceedings , vol-1762.http://ceur-ws.org/Vol-1762/Kokkinaki.pdf . - Paskin, N. 2009. Digital Object Identifier (DOI®) System. Encyclopedia of Library and Information Sciences, Third Edition, 1586–1592. DOI: 10.1081/e-elis3-120044418
- Schwardmann, U. 2016. Automated schema extraction for PID information types. 2016 IEEE International Conference on Big Data (Big Data). DOI: 10.1109/bigdata.2016.7840957 (Pre-print:
https://hdl.handle.net/21.11101/0000-0002-A987-7 ). - Wilkinson, MD, Dumontier, M, Aalbersberg, IjJ, Appleton, G, Axton, M, Baak, A, Bourne, PE, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1). DOI: 10.1038/sdata.2016.18
