References
- 1Bornatici, C, Kleiner, B, Kvamme, T, Kvalheim, V, Bradić-Martinović, A and Glavica, M. 2017. CESSDA SaW D3.3: Guide for national planning for setting up new data services (V4.0). Zenodo. [Last accessed 10 February 2023]. DOI: 10.5334/dsj-2020-043
- 2Carroll, SR, Garba, I, Figueroa-Rodríguez, OL, Holbrook, J, Lovett, R, Materechera, S, Parsons, M, Raseroka, K, Rodriguez-Lonebear, D, Rowe, R, Sara, R, Walker, JD, Anderson, J and Hudson, M. 2020. The CARE Principles for Indigenous Data Governance. Data Science Journal, 19(1): 43. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2020-043
- 3Chambodut, A, Flower, S, Hejda, P, Smirnov, M, Thomson, A and Viljanon, A. 2018.
The Geomagnetic field between Earths core and space: how the Geomagnetic Observations ‘EPOS Thematic Core Services (TCS) address the various sources of the Geomagnetic field’ . In: Filosa, S (ed.) The EPOS Newsletter 2. Roma Lazio, Italy: EPOS. Available athttps://epos-eu.org/node/879/pdf [Last accessed 1 February 2023]. - 4China National Institute of Standardization. 2014. GB/T 30523-2014 Science and technology infrastructure. Resource Core Metadata. National Standard Announcement 2014 No. 2. Available at
https://www.chinesestandard.net/PDF/English.aspx/GBT30523-2014 [Last accessed 10 March 2023]. - 5China National Institute of Standardization. 2014.
GB/T 32843-2016 . Science and Technology Resource Identification. National Standard Announcement 2016 No.14. Available athttps://www.chinesestandard.net/PDF/English.aspx/GBT32843-2016 [Last accessed 10 March 2023]. - 6CoreTrustSeal Standards and Certification Board. 2022. CoreTrustSeal Requirements 2023–2025 (V01.00). Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.7051012
- 7Creative Commons. 2002.
Creative Commons Unveils Machine-Readable Licenses . Portal. Available athttps://creativecommons.org/2002/12/16/creativecommonsunveilsmachinereadablecopyrightlicenses/ [Last accessed 1 February 2023]. - 8CRFCB. Jan. 2014. Metacatalogue. Available at
https://blogs.univ-poitiers.fr/glossaire-mco/2014/01/23/metacatalogue/ [Last accessed 1 February 2023]. - 9Culina, A, Baglioni, M, Crowther, TW, Visser, ME, Woutersen-Windhouwer, S and Manghi, P. 2018. Navigating the unfolding open data landscape in ecology and evolution. Nature Ecology & Evolution, 2(3): 420–426. [Last accessed 1 February 2023]. DOI: 10.1038/s41559-017-0458-2
- 10DataCite Metadata Working Group. 2021. DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs. Version 4.4. DataCite e.V. [Last accessed 1 February 2023]. DOI: 10.14454/3w3z-sa82
- 11DCMI. 2020. Dublin Core Metadata Initiative. Available at
https://www.dublincore.org/ [Last accessed 15 October 2023]. - 12Dierkes, J and Wuttke, U. 2016. The Göttingen eResearch Alliance: A Case Study of Developing and Establishing Institutional Support for Research Data Management. ISPRS International Journal of Geo-Information, 5(8): 133. [Last accessed 1 February 2023]. DOI: 10.3390/ijgi5080133
- 13Dietze, MC, Fox, A, Beck-Johnson, LM and White, EP. 2018. Iterative near-term ecological forecasting: Needs, opportunities, and challenges. Proceedings of the National Academy of Sciences 115.7, 1424–1432. [Last accessed 1 February 2023]. DOI: 10.1073/pnas.1710231115
- 14Digital Research Alliance. 2023. Research Data Management. Available at
https://alliancecan.ca/en/services/research-data-management [Last accessed 10 February 2023]. - 15Downs, RR. 2021. Improving opportunities for new value of open data: Assessing and certifying research data repositories. Data Science Journal, 20(1): 1. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2021-001
- 16Downs, RR and Chen, RS. 2016. A Portfolio Approach to a Sustainable Business Model for Scientific Data Stewardship. SciDataCon 2016 Conference Paper. Denver, Colorado,
11–13 September 2016 . DOI: 10.7916/d8-fae5-cz67 - 17FAIR Data Maturity Model Working Group. 2020.
FAIR Data Maturity Model . Specification and Guidelines (1.0). [Last accessed 1 February 2023]. DOI: 10.15497/rda00050 - 18Fenner, M, Lowenberg, D, Jones, M, Needham, P, Vieglas, D, Abrams, S, Cruse, P and Chodaki, J. 2018.
Code of practice for research data usage. Metrics release 1 (pp. 1–38) . Make Date Count Project. [Accessed 1 February 2023]. DOI: 10.5281/zenodo.3340591 - 19Flower, S and TGS Geomagnetic Observations. 2019. EPOS and Geomagnetism, together for the benefit of the community! In: The EPOS Newsletter Special Issue 04. Available at
https://mailchi.mp/a62aff0adf0c/specialissue-n-04-2019-3057861 [Last accessed 1 February 2023]. - 20First Nations Information Governance Centre. 2014. Barriers and levers for the implementation of OCAP. International Indigenous Policy Journal, 2(3). [Last accessed 1 February 2023].
https://doi.org/10/gkcx7m - 21Garnett, A, Leahey, A, Savard, D, Towell, B and Wilson, L. 2017. Open metadata for research data discovery in Canada. Journal of Library Metadata, 17(3–4): 201–217. [Last accessed 1 February 2023]. DOI: 10.1080/19386389.2018.1443698
- 22Goddard, L, Khair, S, Higgins, S and Doiron, J. 2021. RDM for Digitally-Curious Humanists. OSF. [Last accessed 1 February 2023]. DOI: 10.17605/OSF.IO/6VEPJ
- 23GNSS Science Support Centre. 2023. European Space Agency.
https://gssc.esa.int/portal/datasets [Last accessed 1 February 2023]. - 24Gries, C, Budden, A, Laney, C, O’Brien, M, Servilla, M, Sheldon, W, Vanderbilt, K and Vieglais, D. 2018. Facilitating and improving environmental research data repository interoperability. Data Science Journal, 17: 22. [Last accessed 6 February 2023]. DOI: 10.5334/dsj-2018-022
- 25IAGA2002 Exchange Format. 2016. NOAA National Centers for Environmental Information (NCEI). Available at
https://www.ngdc.noaa.gov/IAGA/vdat/IAGA2002/iaga2002format.html [Last accessed 10 March 2023]. - 26IGS Central Bureau. 2023. Data. Available at
https://igs.org/data/ [Last accessed 10 March 2023]. - 27International Standards Office. 2019. ISO 19115–1:2014. Geographic information — Metadata — Part 1: Fundamentals. Available at
https://www.iso.org/standard/53798.html [Last accessed 1 February 2023]. - 28Jenkyns, R. 2019. Making Identifiers Necessary to Track Evolving Data (MINTED) – A Brief Overview. National Data Services Framework Summit 2019 (NDSF 2019), Ottawa, Canada.
Zenodo . [Accessed 1 February 2023]. DOI: 10.5281/zenodo.2555355 - 29Jenkyns, R and Ridsdale, C. 2020. MINTED: Making Identifiers Necessary for Tracking Evolving Data. CANARIE Research Data Management Workshop 2020, Kanata, Canada.
Zenodo . [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.3665755 - 30JISC. 2011. JISC Project Plan Template. p. 15. Available at https://www.slideshare.net/butest/jisc-project-plan-template-3859125 or
https://www.yumpu.com/en/document/view/23470278/jisc-project-plan-template [Last accessed 8 February 2023]. - 31Kapiszewski, D and Karcher, S. 2020.
Making Research Data Accessible . In: Elman, C, Mahoney, J, and Gerring, J (eds.), The Production of Knowledge: Enhancing Progress in Social Science, Strategies for Social Inquiry. Cambridge: Cambridge University Press, pp. 197–220. [Last accessed 1 February 2023]. DOI: 10.1017/9781108762519.008 - 32Klump, J, Huber, R and Diepenbroek, M. 2016. DOI for geoscience data – how early practices shape present perceptions. Earth Science Informatics, 9: 123–136. [Last accessed 5 October 2021]. DOI: 10.1007/s12145-015-0231-5
- 33Klump, J, Wyborn, L, Downs, R, Asmi, A, Wu, M, Ryder, G and Martin, J. 2020. Data Versioning Working Group Updated Compilation of Data Versioning Use Cases (1.1). [Last accessed 1 February 2023]. DOI: 10.15497/RDA00041
- 34Klump, J, Wyborn, L, Wu, M, Martin, J, Downs, RR and Asmi, A. 2021. Versioning data is about more than revisions: A conceptual framework and proposed principles. Data Science Journal, 20(1): 12. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2021-012
- 35Kramer, T, Klas, C and Hausstein, B. 2018. A data discovery index for the social sciences. Scientific Data, 5: 1–10. [Last accessed 1 February 2023]. DOI: 10.1038/sdata.2018.64
- 36Lagoze, C, Van de Sompel, H, Nelson, M and Warner, S. 2005. Implementation Guidelines for the Open Archives Initiative Protocol for Metadata Harvesting: Guidelines for Repository Implementers. Available at
https://www.openarchives.org/OAI/2.0/guidelines-repository.htm [Last accessed 10 February 2023]. - 37Li, WAW and Payne, K. 2021.
Searchable Index of Metadata Aggregators [Data set] . Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.4589050 - 38Lin, D, Crabtree, J, Dillo, I, Downs, RR, Edmunds, R, Giaretta, D, De Giusiti, M, L’Hours, H, Hugo, W, Jenkyns, R, Khodiyar, V, Martone, M, Mokrane, M, Navale, V, Petters, J, Sierman, B, Sokolova, DV, Stockhause, M and Westbrook, J. 2020. The TRUST Principles for Digital Repositories. Scientific Data, 7: 144. [Last accessed 1 February 2023]. DOI: 10.1038/s41597-020-0486-7
- 39Liu, C, Gong, K, Liu, YH, Liao, XH, Wang, ZB, He, CC, Luo, H, Zhou, X, Tong, QX, Min, QW, Wu, JJ, Gui, DW, Chen, J, Wang, PP, Lu, F, Zhou, L, Sun, YW, Yang, X, Li, J, Wang, XQ, Tian, H, Zhang, GY, Chen, CX, Guo, P, Liang, Y, Xu, GC, Zhang, ZX, Yu, XY, Zhang, XD, Issa, AM, Song, XF, Wang, ZX, Fu, JY, Wang, YS, Zhu, XG, Zhang, LF, Zhu, YQ, Yu, BH, Wang, G, Lin, G, Dai, X and Lyv, YH. 2021. An innovative solution on geographical indications for environment & sustainability (GIES) [J]. Journal of Global Change Data & Discovery, 5(3): 237–248. [Last accessed 10 March 2023]. DOI: 10.3974/geodp.2021.03.03
- 40Lokers, R, Knapen, R, Janssen, S, van Randen, Y and Jansen, J. 2016. Analysis of Big Data technologies for use in agro-environmental science. Environmental Modelling & Software, 84: 494–504. [Last accessed 1 February 2023]. DOI: 10.1016/j.envsoft.2016.07.017
- 41Manghi, P, Bardi, A, Atzori, C, Baglioni, M, Manola, N, Schirrwagen, J and Principe, P. 2019.
The OpenAIRE Research Graph Data Model (1.3) . Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.2643199 - 42Musen, MA, O’Connor, MJ, Schultes, E, Martínez-Romero, M, Hardi, J and Graybeal, J. 2022. Modeling community standards for metadata as templates makes data FAIR. Scientific Data, 9(1): 696. [Last accessed 7 February 2023]. DOI: 10.1038/s41597-022-01815-3
- 43National Science and Technology Infrastructures. 2016. International Research Collaboration Information Platform. Available at
http://www.ircip.cn/web/999722-999726.html?id=26645&newsid=645574 [Last accessed 8 February 2023]. - 44Nebert, D, Voges, U, Bigagli, L, Panagiotis, V and Westcott, B. 2016. OGC Catalogue Services 3.0 – General Model. Available at
https://docs.opengeospatial.org/is/12-168r6/12-168r6.html [Last accessed 1 February 2023]. - 45Noll, C and Michael, P. 2019. CDDIS Global Data Center Technical Report 2019. NASA Goddard Space Flight Center. In: 2019 IGS Technical Report.
https://cddis.nasa.gov/docs/2019/CDDIStr_Noll_2019_v3.pdf [Last accessed 1 February 2023]. - 46Paskin, N. 1999. Toward unique identifiers. Proceedings of the IEEE, 87(7): 1208–1227. [Last accessed 1 February 2023]. DOI: 10.1109/5.771073
- 47Payne, K and Urquidi Diaz, A. 2020.
World Data System Member Survey 2019 . Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.3840406 - 48Payne, K, Urquidi Diaz, A and Li, WAW. 2021. Steps towards an harvestable metadata services implementation plan (flow-chart format) & template: Metadata service implementation plan (1.1). Zenodo. [Last accessed 8 February 2023]. DOI: 10.5281/zenodo.4589013
- 49Payne, K and Verhey, C. 2022. How to use research data alliance crosswalks to recommend Schema.org markup in metadata. Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.4589090
- 50Peng, G. 2018. The state of assessing data stewardship maturity – An overview. Data Science Journal, 17: 7. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2018-007
- 51Plante, RL, Becker, CA, Medina-Smith, A, Brady, K, Dima, A, Long, B, Bartolo, LM, Warren, JA and Hanisch, RJ. 2021. Implementing a registry federation for materials science data discovery. Data Science Journal, 20(1): 15. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2021-015
- 52Poirier, L and Costelloe-Kuehn, B. 2019. Data sharing at scale: A heuristic for affirming data cultures. Data Science Journal, 18(1): 48. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2019-048
- 53Ramachandran, R, Bugbee, K and Murphy, K. 2021. From open data to open science. Earth and Space Science, 8(5):
e2020EA001562 . [Last accessed 6 February 2023]. DOI: 10.1029/2020EA001562 - 54Rauber, A, Asmi, A, van Uytvanck, D and Proell, S. 2015. Data citation of evolving data: Recommendations of the Working Group on Data Citation (WGDC). Zenodo. [Last accessed 1 February 2023]. DOI: 10.15497/RDA00016
- 55Rauber, A, Gößwein, B, Zwölf, CM, Schubert, C, Wörister, F, Duncan, J, Flicker, K, Zettsu, K, Meixner, K, McIntosh, LD and Jenkyns, R. 2021. Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 3(4). [Last accessed 8 February 2023]. DOI: 10.1162/99608f92.be565013
- 56Reiter, E and Rindone, J. 2019. CMR Data Partner User Guide. Available at
https://wiki.earthdata.nasa.gov/display/CMR/CMR+Data+Partner+User+Guide# CMRDataPartnerUserGuide-DataPartnerTasks [Last accessed 1 February 2023]. - 57Socioeconomic Data and Applications Center (SEDAC). 2023a Citations Database. Available at
https://sedac.ciesin.columbia.edu/citations-db [Last accessed 1 February 2023]. - 58Socioeconomic Data and Applications Center (SEDAC). 2023b Data Submission. Available at
https://sedac.ciesin.columbia.edu/data-submission [Last accessed 1 February 2023]. - 59Trappler, T. 2009. Is There Such a Thing as Free Software? The Pros and Cons of Open-Source Software. Available at
https://er.educause.edu/articles/2009/7/is-there-such-a-thing-as-free-software-the-pros-and-cons-of-opensource-software [Last accessed 1 February 2023]. - 60Urquidi Diaz, A. 2021a. Harvestable Metadata Services: A Reference Library. Canada. Available at
https://www.zotero.org/groups/2597955/intelibrary_-_harvestable_metadata_services/library [Last accessed 1 February 2023]. - 61Urquidi Diaz, A. 2021b
Harvestable Metadata Services Implementation Plan Template. A Guide by the World Data Systems International Technology Office . In: Payne, K, Urquidi Diaz, A and Li, WAW (eds.) Steps Towards an Harvestable Metadata Services Implementation Plan (flowchart format) & Template: Metadata Service Implementation Plan. Zenodo. Available athttps://zenodo.org/record/4589014 [Last accessed 1 February 2023]. - 62Urquidi Diaz, A, Li, WAW and Payne, K. 2021.
Interactive, step-by-step narrative of Harvestable Metadata Services implementation plan . Zenodo. DOI: 10.5281/zenodo.4589036 [Last accessed 1 February 2023]. - 63Urquidi-Diaz, A, Payne, K, Chambodut, A, Chen, RS, Chuang, L, Downs, R, Flower, S, Kun, B, Oyola, MI, Vinay, S, Wang, J, Zhang, Y and Xu, Q. 2022.
Harvestable Metadata Services Use Case Reports . Zenodo. DOI: 10.5281/zenodo.5997733 [Last accessed 1 February 2023]. - 64Valentine, D, Zaslavsky, I, Richard, S, Meier, O, Hudman, G, Peucker-Ehrenbrink, B and Stocks, K. 2020.
EarthCube Data Discovery Studio: A gateway into geoscience data discovery and exploration with Jupyter notebooks . Concurrency and Computation: Practice and Experience. DOI: 10.1002/cpe.6086 [Last accessed 1 February 2023]. - 65Ventura-Traveset, J, Navarro, V and Romero, I. 2019.
GSSC Global Data Center Technical Report 2019 . In: International GNSS Service: Technical Report 2019. Villiger, A and Dach, R (eds.), IGS Technical Reports. Bern, Switzerland: IGS Central Bureau, Bern Open Publishing. pp. 163–166. Available athttps://boris.unibe.ch/144003/1/2019_techreport%282%29.pdf [Last accessed 7 February 2023]. - 66Villiger, A and Dach, R. 2019a
International GNSS Service: Technical Report 2018 . IGS Technical Report. Bern: IGS Central Bureau, Bern Open Publishing. Available athttps://boris.unibe.ch/130408/ [Last accessed 1 February 2023]. - 67Villiger, A and Dach, R. (eds.) 2019b.
International GNSS Service: Technical Report 2019 . IGS Technical Reports. Bern, Switzerland: IGS Central Bureau, Bern Open Publishing. Available athttps://boris.unibe.ch/144003/1/2019_techreport%282%29.pdf [Last accessed 7 February 2023]. - 68Waide, RB, Brunt, JW and Servilla, MS. 2017. Demystifying the landscape of ecological data repositories in the United States. BioScience, 67(12): 1044–1051. [Last accessed 1 February 2023]. DOI: 10.1093/biosci/bix117
- 69Wang, J, Bu, K, Wang, Y and Shao, Y. 2020. Progress in activities of WDS-China data centers. Data Science Journal, 19(1): 33. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2020-033
- 70WDC-RRE. 2016.
The specification of WDC-RRE data identification . Beijing, China: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Available athttp://wdcrre.data.ac.cn/page/data_identification [Last accessed 1 February 2023]. - 71WDS Scientific Committee. 2016. World Data System Bylaws. Available at
https://worlddatasystem.org/about/bylaws/ [Last accessed 1 February 2023]. - 72Wu, M, Psomopoulos, F, Khalsa, SJ and de Waard, A. 2019. Data discovery paradigms: User requirements and recommendations for data repositories. Data Science Journal, 18(1): 3. [Last accessed 1 February 2023]. DOI: 10.5334/dsj-2019-003
- 73Yarmey, L and Baker, KS. 2013. Towards standardization: A participatory framework for scientific standard-making. International Journal of Digital Curation, 8(1): 157–172. [Accessed 1 February 2023]. DOI: 10.2218/ijdc.v8i1.252
- 74Yu, Y, Ibarra, JE, Kumar, K and Chergarova, V. 2021. Coevolution of cyberinfrastructure development and scientific progress. Technovation, 100: 102180. [Last accessed 1 February 2023]. DOI: 10.1016/j.technovation.2020.102180
- 75Zuo, X, Chen, Y, Ohno-Machado, L and Xu, H. 2021. How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles. Briefings in Bioinformatics, 22(2): 800–811. [Accessed 1 February 2023]. DOI: 10.1093/bib/bbaa331
