ARK1400 Digital Recordkeeping and Preservation I Course description

This course is a combination of theory and practice allowing students to develop a comprehensive understanding of electronic recordkeeping. It examines the relationship between newer archival theory and electronic recordkeeping with a special emphasis on the Norwegian records management standard Noark. There is a strong emphasis on data modeling and how databases are used as a basis for recordkeeping.

Knowledge

The student should have

• a good understanding of how the terms archives and documents fit within a digital context
• a basic knowledge of database theory and data modeling
• a good understanding of the structure and functions within the Noark records management standard
• a good understanding of the how the evolution of technology has an impact on digital recordkeeping and preservation
• a good understanding of how data quality can be used within the context of records management

Skills

The student can

• apply key theoretical concepts related to the creation and preservation of electronic records
• structure simple data models and databases and execute SQL statements against a database
• apply relevant ICT and records management standards
• design strategies for measuring the quality of electronic records

Teaching and learning methods alternate between lectures, discussions, individual study and group work.

Coursework

Students must submit two obligatory assignments. A practical group assignment on a given topic and a practical individual assignment on a given topic. If assignments are not approved, the student will have one opportunity to submit a new version. Coursework and assignments must be completed within the stipulated time and approved by the teacher before the student can submit the portfolio exam.

The learning goals the students have achieved will be assessed by a portfolio exam with a size of about 20-28 pages (46.000-64.000 characters). The portfolio will be assessed and assigned a single grade for the entire portfolio.

Students are awarded grades on a descending five-point scale from A to E for pass and F for fail. Each portfolio will have an internal examiner. A selection of 25 % of the portfolios will have an external examiner. The grades assigned to the portfolios that have been assessed by an external examiner forms the basis for determining the level of assessing the other portfolios.

Students who have failed or have a valid absence from the regular examination are entitled to resubmit the portfolio. In the event of a fail grade, a student is entitled to submit a revised version of the portfolio once.

Syllabus

Andrejevic, M. & Gates, K. (2014). Big data surveillance: Introduction. Surveillance & Society, 12 (2), 185-196. Hentet fra https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/bds_ed/5135

Armbrust, A., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A ¿ & Zaharia, M. (2009). A view of cloud computing. Communications of the ACM 53 (4), 50-58. Hentet frahttps://www2.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf

Arsanjani, A. (2004). Service-oriented modeling and architecture: How to identify, specify, and realize services for your SOA. Hentet fra https://www.ibm.com/developerworks/library/ws-soa-design1/ws-soa-design1-pdf.pdf

Berget, G. (2010). Relasjonsdatabaser og datamodellering (3. utgave). Oslo: Høgskolen i Oslo og Akershus

Chen, P. P.-S. (1976). The Entity-Relationship Model - Toward a Unified View of Data. ACM Transactions on Database Systems 1 (1) 9-36. Hentet fra http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.1085

Chen, P. P.-S. (1980). English Sentence Structure and Entity-Relationship Diagrams. Hentet frahttp://www.csc.lsu.edu/~chen/pdf/english.pdf

Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6). Hentet fra http://dl.acm.org/citation.cfm?id=362685

Duranti, L. (2001). Concept, principles and methods for the management of electronic records. The information society, 2001, 17, 4. https://doi.org/10.1080/019722401753330869

Gholami, A., & Laure, E. (2016). Security and Privacy of Sensitive Data in Cloud Computing: A Survey of Recent Developments. https://doi.org/10.5121/csit.2015.51611

Hurley, C. (2004). What, If Anything, Is Records Management? Hentet fra http://staging-infotech.monash.edu.au/research/groups/rcrg/publications/ch-what.pdf

Lemieux, L. V., Gormly, B., & Rowledge, L. (2014). Meeting Big Data challenges with visual analytics. Records Management Journal, 24 (2), 122. https://doi.org/10.1108/RMJ-01-2014-0009

Iwig W., Berning M., Marck P. & Prell M. (2013) Data Quality Assessment Tool for Administrative Data. Hentet fra http://www.bls.gov/osmr/datatool.pdf

McDonald, J. (2010). Records management and data management: Closing the gap. Records Management Journal, 20 (1), 53-60. https://doi.org/10.1108/09565691011039825

McDonald, J., & Léveillé, V. (2014). Whither the retention schedule in the era of big data and open data? Records Management Journal, 24 (2), 99. https://doi.org/10.1108/RMJ-01-2014-0010

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing: Recommendations of the National Institute of Standards and Technology. Hentet frahttp://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf

National Archives (2015). White Paper on The Capstone Approach and Capstone GRS. Hentet frahttps://www.archives.gov/records-mgmt/email-management/capstone-final-white-paper1.pdf

Przybyla, A. (2010). Developing a Policy for Managing Email. New York State Archives.http://www.archives.nysed.gov/common/archives/files/mr_pub85.pdf (65 sider)

Riksarkivet. (2016). Noark 5 Standard for elektronisk arkiv (side 1-185).https://www.arkivverket.no/forvaltning-og-utvikling/regelverk-og-standarder/noark-standarden/noark-5/noark5-standarden/_/attachment/download/4f704db6-fe38-40cc-ad61-8c2a3fe45e64:9ca43b8ae474015270f3ec76ece9dc455d4e76d3/Noark5v4%20Standard%20for%20elektronisk%20arkiv%20(01.12.2016).pdf

Riksarkivet. (2016). Noark 5 Metadatakatalog (v4.0). https://www.arkivverket.no/forvaltning-og-utvikling/noark-standarden/noark-5/noark5-standarden/_/attachment/download/f52e37da-31ed-4bf0-9fbf-69f0357aa25c:025a30b602a65d74377b9e0c22a0f2fb8eab84df/Noark5v4%20vedl1%20Metadatakatalog.pdf

Riksarkivet. (2016). Noark 5 Metadatakatalog gruppert på objekter (v4.0),https://www.arkivverket.no/forvaltning-og-utvikling/regelverk-og-standarder/noark-standarden/noark-5/noark5-standarden/_/attachment/download/c9b0c3a1-8822-4a46-bb29-2eb9f61c5a4c:71fe533860123977ba6f8aa97b53f9473b0808ee/Noark5v4%20vedl2%20Metadatakatalog%20gruppert%20p%C3%A5%20objekter.pdf

Rogers, C. (2015). Diplomatics of born digital documents - considering documentary form in a digital environment. Records Management Journal, 25 (1), 6. https://doi.org/10.1108/RMJ-03-2014-0021

Ryan, Mark D. (2011). Cloud computing privacy concerns on our doorstep.(Viewpoints). Communications of the ACM, 54 (1), 36. https://doi.org/10.1145/1866739.1866751

Stitilis, D., & Malinauskaite, I. (2014). Compliance with basic principles of data protection in cloud computing: the aspect of contractual relations with end-users. European Journal Of Law And Technology, 5 (1).http://ejlt.org/article/view/231/422

Stuart, K., & Bromage, D. (2010). Current state of play: records management and the cloud. Records Management Journal, 20 (2), 217-225. https://doi.org/10.1108/09565691011064340

Strong, D., Lee, Y., & Wang, R. (1997). Data quality in context. Communications of the ACM, 40 (5), 103-110.https://doi.org/10.1145/253769.253804

Sødring et al. (n. d.) N4OK: Data quality analysis of extracted digital records. Hentet frahttp://edu.hioa.no/ark2100/current/syllabus/n4ok_rapport.pdf

Vednere, G. (2009). Crossing the IT hurdle: A practical approach to implementing records management technology. Records Management Journal, 19 (2), 98-106. https://doi.org/10.1108/09565690910972057

Wand, Y., Wang, R., Y., & Crawford, D. (1996). Anchoring data quality dimensions in ontological foundations. Communications of the ACM, 39 (11), 86-95. Hentet frahttp://web.mit.edu/tdqm/www/tdqmpub/WandWangCACMNov96.pdf

Wang, R., Storey, V., & Firth, C. (1995). A framework for analysis of data quality research. Knowledge and Data Engineering, IEEE Transactions on, 7 (4), 623-640. Hentet frahttp://web.mit.edu/tdqm/www/tdqmpub/SURVEYIEEEKDEAug95.pdf

Wang, R., & Strong, D. (1996). Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems, 12 (4), 5-33. Hentet frahttp://web.mit.edu/tdqm/www/tdqmpub/beyondaccuracy_files/beyondaccuracy.html

Zawiyah M. Y. & Robert W. C. (1998). The eluding definitions of records and records management: Is a universally acceptable definition possible? Part 1. Defining the record. Records Management Journal, 8(2), 95-112. https://doi.org/10.1108/EUM0000000007233

(Literature list last updated: 08.01.2018)