Nachweise, weiterführende Literatur & Online-Quellen
Nachweise
Corti, L., van den Eynden, V., Bishop, L. & Woollard, M. (2014). Managing and Sharing Research Data: A Guide to Good Practice. SAGE.
Harvey, R. & Weatherburn, J. (2018). Preserving Digital Materials (Third Edition). Rowman & Littlefield.
Ludwig, J. & Enke, H. (Hg.). (2013). Leitfaden zum Forschungsdaten-Management: Handreichungen aus dem WissGrid-Projekt. Niedersächsische Staats-und Universitätsbibliothek; Hülsbusch. http://resolver.sub.uni-goettingen.de/purl?isbn-978-3-86488-032-2
Neuroth, H., Oßwald, A., Scheffel, R., Strathmann, S. &
Huth, K. (Hg.). (2010). nestor-Handbuch: Eine kleine Enzyklopädie der
digitalen Langzeitarchivierung (Version 2.3).
https://nestor.sub.uni-goettingen.de/handbuch/nestor-handbuch_23.pdf
Weiterführende Literatur
Al-Awami, L. & Hassanein, H. S. (2016). Distributed Data Storage Systems for Data Survivability in Wireless Sensor Networks using Decentralized Erasure Codes. Computer Networks, 97, 113–127. https://doi.org/10.1016/j.comnet.2016.01.008
Anderson, M. E. & Ray, S. C. (2017). It's 10 PM; Do You Know Where Your Data Are? Data Provenance, Curation, and Storage. Circulation Research, 120(10), 1551–1554. https://doi.org/10.1161/CIRCRESAHA.116.310424
Bach, K., Schäfer, D., Enke, N., Seeger, B., Gemeinholzer, B. & Bendix, J. (2012). A Comparative Evaluation of Technical Solutions for Long-Term Data Repositories in Integrative Biodiversity research. Ecological Informatics, 11, 16–24. https://doi.org/10.1016/j.ecoinf.2011.11.008
Baker, E. N. (2017). Data Archiving and Availability in an Era of Open Science. International Union of Crystallography Journal, 4(1), 1–2. https://doi.org/10.1107/S2052252516020340
Bambey, D., Corti, L., Diepenbroek, M., Dunkel, W., Hanekop, H., Hollstein, B., Imeri, S., Knoblauch, H., Kretzer, S., Meier Zu Verl, C., Meyer, C., Meyermann, A., Porzelt, M., Rittberger, M., Strübing, J., Unger, H. von & Wilke, R. (2018). Archivierung und Zugang zu Qualitativen Daten. https://doi.org/10.17620/02671.35
Bendix, J., Nieschulze, J. & Michener, W. K. (2012). Data Platforms in Integrative Biodiversity Research. Ecological Informatics, 11, 1–4. https://doi.org/10.1016/j.ecoinf.2012.04.001
Berman, H. M., Burley, S. K., Kleywegt, G. J., Markley, J. L., Nakamura, H. & Velankar, S. (2016). The Archiving and Dissemination of Biological Structure Data. Current Opinion in Structural Biology, 40, 17–22. https://doi.org/10.1016/j.sbi.2016.06.018
Bhat, W. A. (2018). Bridging Data-Capacity Gap in Big Data Storage. Future Generation Computer Systems, 87, 538–548. https://doi.org/10.1016/j.future.2017.12.066
Bolsunovskaya, M., Shirokova, S. & Loginova, A. (2019). State of Current Data Storage Market and Development of Tools for Increasing Data Storage Systems Reliability. E3S Web of Conferences, 135(247), 04076. https://doi.org/10.1051/e3sconf/201913504076
Bussel, G.-J. v., Smit, N. & Pas, J. v. d. (2015). Digital Archiving, Green IT and Environment: Deleting Data to Manage Critical Effects of the Data Deluge. Electronic Journal of Information Systems Evaluation, 18, 187–198.
Büttner, S. (2014). Langzeitarchivierung von Forschungsdaten: Eine Bestandsaufnahme. Information – Wissenschaft & Praxis, 65(4-5). https://doi.org/10.1515/iwp-2014-0041
Calhoun, S. P., Akin, D., Zimmerman, B. & Neeman, H. (2019). Large Scale Research Data Archiving: Training for an Inconvenient Technology. Journal of Computational Science, 36, 100523. https://doi.org/10.1016/j.jocs.2016.07.005
Chang, B. R., Tsai, H.-F., Chen, C.-Y. & Guo, C.-L. (2015). Empirical Analysis of High Efficient Remote Cloud Data Center Backup Using HBase and Cassandra. Scientific Programming, 2015(4), 1–10. https://doi.org/10.1155/2015/294614
Cherry, D. (2015). Securing SQL Server: Protecting Your Database from Attackers (3rd Edition). Elsevier. https://doi.org/10.1016/C2013-0-14282-1
Enke, N., Thessen, A., Bach, K., Bendix, J., Seeger, B. & Gemeinholzer, B. (2012). The User's View on Biodiversity Data Sharing — Investigating Facts of Acceptance and Requirements to Realize a Sustainable Use of Research Data —. Ecological Informatics, 11, 25–33. https://doi.org/10.1016/j.ecoinf.2012.03.004
Eschenfelder, K. R., Shankar, K. & Williams, R. D. (2018). Making the Case for Data Archiving: The Changing “Value Proposition” of Social Science Data Archives. Proceedings of the Association for Information Science and Technology, 55(1), 123–132. https://doi.org/10.1002/pra2.2018.14505501014
Geraghty, R. (2017). Curation After the Fact: Practical and Ethical Challenges of Archiving Legacy Evaluation Data. International Journal of Digital Curation, 12(1), 152–161. https://doi.org/10.2218/ijdc.v12i1.550
Hu, F. (Hg.). (2016). Big Data: Storage, Sharing and Security. CRC Press.
Jungbauer-Gans, M., Kleinert, C., Schupp, J. & Trappmann, M. (2018). Bekanntmachung: Regelung zur Archivierung von Daten und Analysefiles quantitativer Studien. Soziale Welt, 69(4), 351–354. https://doi.org/10.5771/0038-6073-2018-4-351
Leitner, F., Bielza, C., Hill, S. L. & Larrañaga, P. (2016). Data Publications Correlate with Citation Impact. Frontiers in Neuroscience, 10, 419. https://doi.org/10.3389/fnins.2016.00419
Li, S., Cheng, C., Tong, X. & Bo, C. (2016). A Study on Data Storage and Management for Massive Remote Sensing Data Based on Multi-Level Grid Model. Acta Geodaetica et Cartographica Sinica, 45(1), 106–114. https://doi.org/10.11947/j.AGCS.2016.F013
Li, W. (2015). Reliability Assurance of Big Data in the Cloud: Cost-effective Replication-based Storage. Morgan Kaufmann.
Ma, X., Liang, J., Liu, R., Ni, W., Li, Y., Li, R., Ma, W. & Qi, C. (2018). A Survey on Data Storage and Information Discovery in the WSANs-based Edge Computing Systems. Sensors, 18(2). https://doi.org/10.3390/s18020546
Mansouri, Y., Toosi, A. N. & Buyya, R. (2018). Data Storage Management in Cloud Environments. ACM Computing Surveys, 50(6), 1–51. https://doi.org/10.1145/3136623
Mátyás, B., Szarka, M., Járvás, G., Kusper, G., Argay, I. & Fialowski, A. (2016). A Novel Data Storage Logic in the Cloud. F1000Research, 5, 93. https://doi.org/10.12688/f1000research.7727.2
Mills, J. A., Teplitsky, C., Arroyo, B., Charmantier, A., Becker, P. H., Birkhead, T. R., Bize, P., Blumstein, D. T., Bonenfant, C., Boutin, S., Bushuev, A., Cam, E., Cockburn, A., Côté, S. D., Coulson, J. C., Daunt, F., Dingemanse, N. J., Doligez, B., Drummond, H., . . . Zedrosser, A. (2015). Archiving Primary Data: Solutions for Long-Term Studies. Trends in Ecology & Evolution, 30(10), 581–589. https://doi.org/10.1016/j.tree.2015.07.006
Mills, J. A., Teplitsky, C., Arroyo, B., Charmantier, A., Becker, P. H., Birkhead, T. R., Bize, P., Blumstein, D. T., Bonenfant, C., Boutin, S., Bushuev, A., Cam, E., Cockburn, A., Côté, S. D., Coulson, J. C., Daunt, F., Dingemanse, N. J., Doligez, B., Drummond, H., . . . Zedrosser, A. (2016). Solutions for Archiving Data in Long-Term Studies: A Reply to Whitlock et al. Trends in Ecology & Evolution, 31(2), 85–87. https://doi.org/10.1016/j.tree.2015.12.004
Müller-Quade, J., Huber, M. & Nilges, T. (2015). Daten verschlüsselt speichern und verarbeiten in der Cloud. Datenschutz und Datensicherheit, 39(8), 531–535. https://doi.org/10.1007/s11623-015-0465-x
Nakamura, S., Zhao, X. & Qian, C. (2017). Backup Policies for a Database System with Temporary Large Update. International Journal of Industrial Engineering: Theory, Applications and Practice, 24(4), 366–375.
Nolan, J. W., Gkika, D. A., Vordos, N., Kazanidis, I. K. & Mitropoulos, A. C. (2015). On the Archiving and Visualisation of Scientific Data. Journal of Engineering Science and Technology Review, 8(4), 40–43. https://doi.org/10.25103/jestr.084.06
OECD. (2017). Business Models for Sustainable Research Data Repositories (OECD Science, Technology and Industry Policy Papers). https://doi.org/10.1787/302b12bb-en
Patel, J., Sharma, P. & Patel, J. (2019). Big Data Harmonization-Data Loading and Data Storage. Journal of Engineering and Applied Sciences, 14(20), 7731–7735. https://doi.org/10.36478/jeasci.2019.7731.7735
Pereira, L. D., Balestrassi, P. P., Paes, V. d. C., Paiva, A. P. d., Peruchi, R. S. & Mendes, R. R. A. (2019). Short-term Forecasting Models for Automated Data Backup System: Segmented Regression Analysis. Acta Scientiarum Technology, 42, e46073. https://doi.org/10.4025/actascitechnol.v42i1.46073
Piwowar, H. A., Day, R. S. & Fridsma, D. B. (2007). Sharing Detailed Research Data Is Associated with Increased Citation Rate. PloS ONE, 2(3), e308. https://doi.org/10.1371/journal.pone.0000308
Piwowar, H. A. & Vision, T. J. (2013). Data Reuse and the Open Data Citation Advantage. PeerJ, 1, e175. https://doi.org/10.7717/peerj.175
Ponnuviji, N. P. & Vigilson Prem, M. (2018). Ensuring Security of Cloud Backups After Data Modification. International Journal of Advanced Research in Computer and Communication Engineering, 7(12), 7–10. https://doi.org/10.17148/IJARCCE.2018.71202
Rimkus, K., Padilla, T., Popp, T. & Martin, G. (2014). Digital Preservation File Format Policies of ARL Member Libraries: An Analysis. D-Lib Magazine, 20(3-4). https://doi.org/10.1045/march2014-rimkus
Robertson, G. (2016). Robertson on Library Security and Disaster Planning. Chandos Publishing. https://doi.org/10.1016/C2014-0-01038-6
Roig, J. V. (2019). Optimizing Git for Handling Database Backups:: Findings and Insights from another 6.000 Hours of Experimentation. IOP Conference Series: Materials Science and Engineering, 482, 012037. https://doi.org/10.1088/1757-899X/482/1/012037
Sahle, P. & Kronenwett, S. (2013). Jenseits der Daten: Überlegungen zu Datenzentren für die Geisteswissenschaften am Beispiel des Kölner 'Data Center for the Humanities'. LIBREAS. Library Ideas, 23. https://doi.org/10.18452/9043
Saikeerthana, R. & Umamakeswari, A. (2015). Secure Data Storage and Data Retrieval in Cloud Storage Using Cipher Policy Attribute Based Encryption. Indian Journal of Science and Technology, 8(9), 318. https://doi.org/10.17485/ijst/2015/v8iS9/65600
Sangat, P., Indrawan-Santiago, M. & Taniar, D. (2018). Sensor Data Management in the Cloud: Data Storage, Data Ingestion, and Data Retrieval. Concurrency and Computation: Practice and Experience, 30(1), e4354. https://doi.org/10.1002/cpe.4354
Saxena, A., Claeys, D., Bruneel, H. & Walraevens, J. (2019). Analysis of the Age of Data in Data Backup Systems. Computer Networks, 160, 41–50. https://doi.org/10.1016/j.comnet.2019.05.020
Saxena, A., Claeys, D., Bruneel, H., Zhang, B. & Walraevens, J. (2018). Modeling Data Backups as a Batch-Service Queue with Vacations and Exhaustive Policy. Computer Communications, 128, 46–59. https://doi.org/10.1016/j.comcom.2018.07.014
Simmons, L. W. (2016). Mandatory Data Archiving in Behavioral Ecology. Behavioral Ecology, 27(1), 1. https://doi.org/10.1093/beheco/arw001
Stephan, R. & Klettke, M. (2017). Speicherung bibliographischer Metadaten in relationalen und nicht-relationalen Datenbankmodellen. In M. Eibl & M. Gaedke (Hg.), INFORMATIK 2017: 25.-29. September 2017, Chemnitz. Proceedings. Gesellschaft für Informatik. https://doi.org/10.18420/in2017_116
Taranin, S. M. (2016). Backup with Storage in a Database. Modeling and Analysis of Information Systems, 23(4), 479–491. https://doi.org/10.18255/1818-1015-2016-4-479-491
Taranin, S. M. (2018). Deduplication in the Backup System with Information Storage in a Database. Automatic Control and Computer Sciences, 52(7), 608–614. https://doi.org/10.3103/S0146411618070246
TDIC Risk Management Staff (2016). Data Backup: What’s Your Risk Tolerance? Journal of the California Dental Association, 44(8), 515–518.
Whitlock, M. C., Bronstein, J. L., Bruna, E. M., Ellison, A. M., Fox, C. W., McPeek, M. A., Moore, A. J., Noor, M. A. F., Rausher, M. D., Rieseberg, L. H., Ritchie, M. G. & Shaw, R. G. (2016). A Balanced Data Archiving Policy for Long-Term Studies. Trends in Ecology & Evolution, 31(2), 84–85. https://doi.org/10.1016/j.tree.2015.12.001
Wylot, M., Hauswirth, M., Cudré-Mauroux, P. & Sakr, S. (2018). RDF Data Storage and Query Processing Schemes. ACM Computing Surveys, 51(4), Artikel 84, 1–36. https://doi.org/10.1145/3177850
Xhafa, F. (2018). Special Issue on Advanced Techniques for Cloud Data Storage and Collaborative Systems. Concurrency and Computation: Practice and Experience, 30(1), e4373. https://doi.org/10.1002/cpe.4373
Yogeswaran, C. & Cormier, K. (2017). Archiving Large-Scale Legacy Multimedia Research Data: A Case Study. International Journal of Digital Curation, 12(2), 157–176. https://doi.org/10.2218/ijdc.v12i2.484
You, P., Huang, Z., Peng, Y., Wang, C. & Yan, G. (2019). Towards a Delivery Scheme for Speedup of Data Backup in Distributed Storage Systems Using Erasure Codes. The Journal of Supercomputing, 75(1), 50–64. https://doi.org/10.1007/s11227-015-1586-6
Zhou, L., Mao, J., Ren, Y., Han, S.-T., Roy, V. A. L. & Zhou, Y. (2018). Data Storage: Recent Advances of Flexible Data Storage Devices Based on Organic Nanoscaled Materials. Small, 14(10), 1870042. https://doi.org/10.1002/smll.201870042
Online-Quellen
Cruse, P. (2015). Recap: Persistent Identifiers in Paris. https://doi.org/10.5438/85SN-MX23
DNB Wiki: Open-Access-Webressourcen zu verschiedenen Themen der digitalen Langzeitarchivierung. (25. Mai 2020). https://wiki.dnb.de/pages/viewpage.action?pageId=87000994
Open-Access.net: Open Access bei Forschungsdaten. (26. Mai 2020). https://open-access.net/informationen-zu-open-access/open-access-bei-forschungsdaten/
The National Archives: PRONOM - Online Information System About Data File Formats. (27. Mai 2020). https://www.nationalarchives.gov.uk/PRONOM/Default.aspx#
YouTube: EU Science Hub (Joint Research Centre) - Unlock the Power of Research Data. (2017). https://www.youtube.com/watch?v=o-OyGDCbu88