Have a personal or library account? Click to login
Harvestable Metadata Services Development: Analysis of Use Cases from the World Data System Cover

Harvestable Metadata Services Development: Analysis of Use Cases from the World Data System

Open Access
|Jul 2023

References

  1. 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
  2. 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
  3. 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 at https://epos-eu.org/node/879/pdf [Last accessed 1 February 2023].
  4. 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].
  5. 5China National Institute of Standardization. 2014. GB/T 32843-2016. Science and Technology Resource Identification. National Standard Announcement 2016 No.14. Available at https://www.chinesestandard.net/PDF/English.aspx/GBT32843-2016 [Last accessed 10 March 2023].
  6. 6CoreTrustSeal Standards and Certification Board. 2022. CoreTrustSeal Requirements 2023–2025 (V01.00). Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.7051012
  7. 7Creative Commons. 2002. Creative Commons Unveils Machine-Readable Licenses. Portal. Available at https://creativecommons.org/2002/12/16/creativecommonsunveilsmachinereadablecopyrightlicenses/ [Last accessed 1 February 2023].
  8. 8CRFCB. Jan. 2014. Metacatalogue. Available at https://blogs.univ-poitiers.fr/glossaire-mco/2014/01/23/metacatalogue/ [Last accessed 1 February 2023].
  9. 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): 420426. [Last accessed 1 February 2023]. DOI: 10.1038/s41559-017-0458-2
  10. 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
  11. 11DCMI. 2020. Dublin Core Metadata Initiative. Available at https://www.dublincore.org/ [Last accessed 15 October 2023].
  12. 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
  13. 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, 14241432. [Last accessed 1 February 2023]. DOI: 10.1073/pnas.1710231115
  14. 14Digital Research Alliance. 2023. Research Data Management. Available at https://alliancecan.ca/en/services/research-data-management [Last accessed 10 February 2023].
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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].
  20. 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
  21. 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): 201217. [Last accessed 1 February 2023]. DOI: 10.1080/19386389.2018.1443698
  22. 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
  23. 23GNSS Science Support Centre. 2023. European Space Agency. https://gssc.esa.int/portal/datasets [Last accessed 1 February 2023].
  24. 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
  25. 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].
  26. 26IGS Central Bureau. 2023. Data. Available at https://igs.org/data/ [Last accessed 10 March 2023].
  27. 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].
  28. 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
  29. 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
  30. 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].
  31. 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. 197220. [Last accessed 1 February 2023]. DOI: 10.1017/9781108762519.008
  32. 32Klump, J, Huber, R and Diepenbroek, M. 2016. DOI for geoscience data – how early practices shape present perceptions. Earth Science Informatics, 9: 123136. [Last accessed 5 October 2021]. DOI: 10.1007/s12145-015-0231-5
  33. 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
  34. 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
  35. 35Kramer, T, Klas, C and Hausstein, B. 2018. A data discovery index for the social sciences. Scientific Data, 5: 110. [Last accessed 1 February 2023]. DOI: 10.1038/sdata.2018.64
  36. 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].
  37. 37Li, WAW and Payne, K. 2021. Searchable Index of Metadata Aggregators [Data set]. Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.4589050
  38. 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
  39. 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): 237248. [Last accessed 10 March 2023]. DOI: 10.3974/geodp.2021.03.03
  40. 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: 494504. [Last accessed 1 February 2023]. DOI: 10.1016/j.envsoft.2016.07.017
  41. 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
  42. 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
  43. 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].
  44. 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].
  45. 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].
  46. 46Paskin, N. 1999. Toward unique identifiers. Proceedings of the IEEE, 87(7): 12081227. [Last accessed 1 February 2023]. DOI: 10.1109/5.771073
  47. 47Payne, K and Urquidi Diaz, A. 2020. World Data System Member Survey 2019. Zenodo. [Last accessed 1 February 2023]. DOI: 10.5281/zenodo.3840406
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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].
  57. 57Socioeconomic Data and Applications Center (SEDAC). 2023a Citations Database. Available at https://sedac.ciesin.columbia.edu/citations-db [Last accessed 1 February 2023].
  58. 58Socioeconomic Data and Applications Center (SEDAC). 2023b Data Submission. Available at https://sedac.ciesin.columbia.edu/data-submission [Last accessed 1 February 2023].
  59. 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].
  60. 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].
  61. 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 at https://zenodo.org/record/4589014 [Last accessed 1 February 2023].
  62. 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].
  63. 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].
  64. 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].
  65. 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. 163166. Available at https://boris.unibe.ch/144003/1/2019_techreport%282%29.pdf [Last accessed 7 February 2023].
  66. 66Villiger, A and Dach, R. 2019a International GNSS Service: Technical Report 2018. IGS Technical Report. Bern: IGS Central Bureau, Bern Open Publishing. Available at https://boris.unibe.ch/130408/ [Last accessed 1 February 2023].
  67. 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 at https://boris.unibe.ch/144003/1/2019_techreport%282%29.pdf [Last accessed 7 February 2023].
  68. 68Waide, RB, Brunt, JW and Servilla, MS. 2017. Demystifying the landscape of ecological data repositories in the United States. BioScience, 67(12): 10441051. [Last accessed 1 February 2023]. DOI: 10.1093/biosci/bix117
  69. 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
  70. 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 at http://wdcrre.data.ac.cn/page/data_identification [Last accessed 1 February 2023].
  71. 71WDS Scientific Committee. 2016. World Data System Bylaws. Available at https://worlddatasystem.org/about/bylaws/ [Last accessed 1 February 2023].
  72. 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
  73. 73Yarmey, L and Baker, KS. 2013. Towards standardization: A participatory framework for scientific standard-making. International Journal of Digital Curation, 8(1): 157172. [Accessed 1 February 2023]. DOI: 10.2218/ijdc.v8i1.252
  74. 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
  75. 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): 800811. [Accessed 1 February 2023]. DOI: 10.1093/bib/bbaa331
Language: English
Submitted on: Mar 9, 2023
Accepted on: Mar 13, 2023
Published on: Jul 5, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Robert R. Downs, Alicia Urquidi Díaz, Qi Xu, Juanle Wang, Aude Chambodut, Chuang Liu, Simon Flower, Karen Payne, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.