Abstract
Data-driven analysis plays a vital role in research projects, and sharing data with collaborators inside or outside a project is supposed to be daily scientific work. There are various tools for research data management, which offer features like storing data, meta-data indexing, and provide options to share data. However, currently, none of them offers capabilities for sharing data in different levels of detail without excessive data duplication. Naturally, sharing data by duplication is a tedious process, as preparing data for sharing typically involves changing temporal resolution (i.e., aggregation) or anonymization, e.g., to ensure privacy. In this paper, instead of re-inventing the wheel, we ask whether the concept of views, a well-established concept in relational databases, fulfills the above requirement. Conducting a case study for a project employing sharing of learning analytics data, we propose a framework that allows for fine-granular configuration of shared content based on the concept of views. In the case study, we a) analyze a data reuse scenario based on the FAIR principles, b) suggest a concept for using views for data sharing, and c) demonstrate its feasibility with a proof-of-concept.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Amorim, R.C., Castro, J.A., Rocha da Silva, J., Ribeiro, C.: A comparison of research data management platforms: architecture, flexible metadata and interoperability. Univ. Access Inf. Soc. 16(4), 851–862 (2016). https://doi.org/10.1007/s10209-016-0475-y
Bloemers, M., Montesanti, A.: The FAIR funding model: providing a framework for research funders to drive the transition toward FAIR data management and stewardship practices. Data Intell. 2(1–2), 171–180 (2020). https://doi.org/10.1162/dint_a_00039
Codd, E.F.: A relational model of data for large shared data banks. Commun. ACM 26(1), 64–69 (1983). https://doi.org/10.1145/357980.358007
Devarakonda, R., Palanisamy, G., Green, J., Wilson, B.: Data sharing and retrieval using OAI-PMH. Earth Sci. Inf. 4(1), 1–5 (2011). https://doi.org/10.1007/s12145-010-0073-0
Dewey, M.: Dewey decimal classification and relative index. 2, Schedules 000-599. OCLC Library (1989)
Dietrich, A.: Liascript: a domain-specific-language for interactive online courses. In: Multi Conference on Computer Science and Information Systems, p. 186 (2019)
Drachsler, H., Greller, W.: Privacy and analytics: it’s a delicate issue a checklist for trusted learning analytics. In: Gašević, D., Lynch, G., Dawson, S., Drachsler, H., Penstein Rosé, C. (eds.) Proceedings of the Sixth International Conference on Learning Analytics and Knowledge, LAK 2016, pp. 89–98. Association for Computing Machinery, New York (2016). https://doi.org/10.1145/2883851.2883893
Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1–12. Springer, Heidelberg (2006). https://doi.org/10.1007/11787006_1
Garcia-Molina, H., Ullman, J.D., Widom, J.: Database Systems: The Complete Book, 2nd edn. Pearson International Edition, London (2008)
Gray, J., Reuter, A.: Transaction Processing: Concepts and Techniques. Elsevier, Amsterdam (1992)
Grolinger, K., Higashino, W.A., Tiwari, A., Capretz, M.A.M.: Data management in cloud environments: NoSQL and NewSQL data stores. J. Cloud Comput. Adv. Syst. Appl. 2(1), 1–24 (2013). https://doi.org/10.1186/2192-113X-2-22
Hildt, E., Laas, K.: Informed consent in digital data management. In: Laas, K., Davis, M., Hildt, E. (eds.) Codes of Ethics and Ethical Guidelines. TILELT, vol. 23, pp. 55–81. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-86201-5_4
Jørn Nielsen, H., Hjørland, B.: Curating research data: the potential roles of libraries and information professionals. J. Doc. 70(2), 221–240 (2014). https://doi.org/10.1108/JD-03-2013-0034
Kim, Y., Zhang, P.: Understanding data sharing behaviors of stem researchers: the roles of attitudes, norms, and data repositories. Libr. Inf. Sci. Res. 37(3), 189–200 (2015). https://doi.org/10.1016/j.lisr.2015.04.006
Kimball, R.: Slowly Changing Dimensions. Unlike OLTP Systems, Data Warehouse Systems Cab Track Historical Data. DBMS Online, vol. 9, no. 4 (1996)
Linnemann, V., et al.: Design and implementation of an extensible database management system supporting user defined data types and functions. In: VLDB, pp. 294–305 (1988)
Michener, W.K.: Ten simple rules for creating a good data management plan. PLoS Comput. Biol. 11(10), 1–9 (2015). https://doi.org/10.1371/journal.pcbi.1004525
Motro, A.: An access authorization model for relational databases based on algebraic manipulation of view definitions. In: ICDE Fifth International Conference on Data Engineering, pp. 339–347 (1989). https://doi.org/10.1109/ICDE.1989.47234
Obionwu, V., Broneske, D., Hawlitschek, A., Köppen, V., Saake, G.: SQLValidator - an online student playground to learn SQL. Datenbank-Spektrum (2021)
Pampel, H., et al.: Making research data repositories visible: the re3data.org registry. PLoS ONE 8(11), 1–10 (2013). https://doi.org/10.1371/journal.pone.0078080
Pardo, A., Siemens, G.: Ethical and privacy principles for learning analytics. Br. J. Edu. Technol. 45(3), 438–450 (2014). https://doi.org/10.1111/bjet.12152
Pasquetto, I.V., Randles, B.M., Borgman, C.L.: On the reuse of scientific data. Data Sci. J. (2017)
Pouchard, L.: Revisiting the data lifecycle with big data curation. Int. J. Digit. Curation (2015)
Pyrounakis, G., Nikolaidou, M., Hatzopoulos, M.: Building digital collections using open source digital repository software: a comparative study. Int. J. Digital Libr. Syst. (IJDLS) 4(1), 10–25 (2014). https://doi.org/10.4018/ijdls.2014010102
Rizvi, S., Mendelzon, A., Sudarshan, S., Roy, P.: Extending query rewriting techniques for fine-grained access control. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, SIGMOD 2004, pp. 551–562. Association for Computing Machinery, New York (2004). https://doi.org/10.1145/1007568.1007631
Sanamrad, T., Kossmann, D.: Query log attack on encrypted databases. In: Jonker, W., Petković, M. (eds.) SDM 2013. LNCS, vol. 8425, pp. 95–107. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06811-4_14
Scheffel, M., Drachsler, H., Slavi, S., Specht, M.: Quality indicators for learning analytics. Educ. Technol. Soc. 17(4), 117–132 (2014)
Smith, M., et al.: DSpace: an open source dynamic digital repository. D-Lib Mag. 9(1) (2003). https://www.dlib.org/dlib/january03/smith/01smith.html
International Organization for Standardization: Space data and information transfer systems - Open archival information system (OAIS) - Reference model. International Organization for Standardization, Vernier, Geneva, Switzerland, ISO 14721:2012-09 edn. (2012). https://www.iso.org/standard/57284.html
Sweeney, L.: K-anonymity: a model for protecting privacy. Int. J. Uncertain. Fuzziness Knowledge-Based Syst. 10(5), 557–570 (2002)
Treloar, A., Klump, J.: Updating the data curation continuum. IJDC 14(1), 87–101 (2019). https://doi.org/10.2218/ijdc.v14i1.643
Viberg, O., Hatakka, M., Bälter, O., Mavroudi, A.: The current landscape of learning analytics in higher education. Comput. Hum. Behav. 89, 98–110 (2018). https://doi.org/10.1016/j.chb.2018.07.027
Wilkinson, M.D., et al.: The fair guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18
Funding
German Federal Ministry of Education and Research [16DHB 3008].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Broneske, D., Wolff, I., Köppen, V., Schäler, M. (2022). Exploiting Views for Collaborative Research Data Management of Structured Data. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-031-21756-2_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21755-5
Online ISBN: 978-3-031-21756-2
eBook Packages: Computer ScienceComputer Science (R0)