Information retention in companies: a question of sustainability
DOI:
https://doi.org/10.3145/thinkepi.2021.e15f03Keywords:
Information retention, Records retention, Information governance, Sustainability, Emerging technologies, Computational archival scienceAbstract
It is not sustainable to keep all information indefinitely. Retention is an essential aspect of corporate information governance that facilitates data and document lifecycle management. Future trends in information technologies lead us to reflect on the methodologies available and the professional qualifications needed to find new ways to help define and implement the necessary retention policies in companies and organizations.
References
Ainy, Eleanor; Bourhis, Pierre; Davidson, Susan B.; Deutch, Daniel; Milo, Tova (2015). "Approximated summarization of data provenance". In: Proceedings of the CIKM, pp. 483-492. https://doi.org/10.1145/2806416.2806429
Barragan, Salvador P. (2019). "Information governance maturity model: Should retention be rethought?". In: Katuu, Shadrack (ed.). Diverse applications and transferability of maturity models. IGI Global Publisher. ISBN: 978 1522570806 https://doi.org/10.4018/978-1-5225-7080-6.ch004
Buneman, Peter; Tan, Wang-Chiew (2018). "Data provenance: What next?". ACM SIGMOD record, v. 4, n. 3, pp. 5-16. https://doi.org/10.1145/3316416.3316418
Casellas, Lluís-Esteve (2019). "Archivos, documentos, datos. De la gestión a la gobernanza". En: VI Congreso de Innovación Pública Novagob. Sevilla, 16-18 octubre. https://www.archiverosdeandalucia.org/wp-content/uploads/2019/11/Ponencia-Lluis-Esteve-Casellas-Novagob-2019.pdf
Franks, Patricia C. (2018). "Trusting records and data in the cloud: The creation, management, and preservation of trustworthy digital content". In: Encyclopedia of archival science. University of British Columbia, Vancouver: Facet, pp. 117-134. https://doi.org/10.29085/9781783304042.006
Kollarath, Prasanth (2020). Building data lakes and implementing data retention policies with Amazon RDS snapshot export to Amazon S3, 29 may. https://aws.amazon.com/es/blogs/database/building-data-lakes-and-implementing-data-retention-policies-with-amazon-rds-snapshot-export-to-amazon-s3
Marciano, Richard; Lemieux, Victoria; Hedges, Mark; Esteva, Maria; Underwood, William; Kurtz, Michael; Conrad, Mark (2018). "Archival records and training in the age of big data". In: Percell, Johna; Sarin, Lindsay C.; Jaeger, Paul T.; Bertot, John-Carlo (eds.). Re-envisioning the MLS: Perspectives on the future of library and information science education. ISBN: 978 1 78754 885 5
Saffady, William (2018). Records management experience with big bucket retention: A status report. ARMA International Education Foundation. http://armaedfoundation.org/wp-content/uploads/2018/08/AIEF-Research-Paper-Saffady-Big-Buckets-2018-081518.pdf
Shacklett, Mary (2017). "How to keep your data lakes from becoming cesspools". TechRepublic, 23 May. https://www.techrepublic.com/article/how-to-keep-your-data-lakes-from-becoming-cesspools/