Petter Reinholdtsen

• Sødring, Thomas; Reinholdtsen, Petter & Ølnes, Svein (2020). Publishing and using record-keeping structural information in a blockchain. Records Management Journal. ISSN 0956-5698. doi: 10.1108/RMJ-09-2019-0056. Full text in Research Archive Show summary

  Purpose: To examine the role blockchain can play for record-keeping by exploring what information from a record-keeping system it is possible to publish to a blockchain. A credible approach is presented, followed by a discussion on both benefits and limitations. Design/methodology/approach: The approach is a combination of theorised possibilities verifed with practical software implementation. The basis for the work is relevant record-keeping and blockchain litera- ture. Research limitations/implications: The approach is beneficial where there is a record-keeping standard that has a clearly defined metadata model, and that also makes use of globally unique identifiers. Privacy legislation, e.g., GDPR, may limit the scope of an implementation of the approach. Originality/value: The originality lies in presenting an approach whereby a record-keeping standard is analysed, separating structural and content information in order to publish structural information to a blockchain.

• Sødring, Thomas; Reinholdtsen, Petter & Massey, David (2020). A record-keeping approach to managing IoT-data for government agencies. Records Management Journal. ISSN 0956-5698. doi: 10.1108/RMJ-09-2019-0050. Full text in Research Archive Show summary

  Purpose – Particular attention to the issue of information management will be required to meet the expected growth in IoT-devices and the data they generate. As government agencies start collecting and using such information, they must also deal with the issue of privacy, to comply with laws and regulations. The approach discussed here shows that record-keeping principles may form part of a solution to the issue of managing IoT- data for government agencies. Design/methodology/approach – This study uses the generally accepted record-keeping principles as a basis for a high-level discussion on how IoT-data can be managed. This is followed by a presentation and discussion on how the Norwegian record-keeping standard, Noark, can be extended to highlight practical issues. Findings – Record keeping has principles that are relevant to the management of IoT-data. Further an implementation of the chosen use-cases is possible based on an existing record keeping standard. Record keeping is one of many information science approaches that can manage IoT-data. Research limitations/implications – The main limitations are that the discussion cannot cover all types of IoT-devices, nor can all issues be captured with a limited choice of examples. The results should be seen within the context of the types of devices discussed and limited to the chosen use-cases. However, the level of abstraction used means the results may be applicable to similar scenarios. Originality/value – The approach shows that record-keeping principles may be used as an approach to manage IoT-data. This discussion is useful when compared with other information science approaches, e.g. big-data or semantic Web approaches. The practicalities of a record-keeping approach are also discussed and relevant strengths and weaknesses are showed.

• Helfert, Markus; Reinholdtsen, Petter & Sødring, Thomas (2017). Information Quality Challenges for the Preservation of Norwegian Public Sector Records. Annals of Computer Science and Information Systems. 12, p. 171–176. doi: 10.15439/978-83-922646-0-6. Full text in Research Archive Show summary

  The digitalization from paper-based to electronic records management results in challenges to preserve material in an authentic form. This paper explores the role in ensuring the authenticity and usability of electronic records in a long term preservation perspective. The discussion is viewed from an information quality perspective that provides a suitable lens to the topic. We identified a number of challenges that government records face, stressing the issue at hand of how to maintain authenticity and usability over a long term perspective. Challenges results from issues around authenticity, usability, the user, volume and heterogeneity and particular the time dimension. We conclude that the fields of record keeping and long term preservation have some clear information quality issues that could benefit from a concerted approach by integrating information quality research into records management. To date this seems to be missing.

• Möller, Steffen; Prescott, Stuart W.; Wirzenius, Lars; Reinholdtsen, Petter; Chapman, Brad & Prins, Pjotr [Show all 12 contributors for this article] (2017). Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis. Data Science and Engineering. ISSN 2364-1185. 2(3), p. 232–244. doi: 10.1007/s41019-017-0050-4. Full text in Research Archive Show summary

  Information integration and workflow technologies for data analysis have always been major fields of investigation in bioinformatics. A range of popular workflow suites are available to support analyses in computational biology. Commercial providers tend to offer prepared applications remote to their clients. However, for most academic environments with local expertise, novel data collection techniques or novel data analysis, it is essential to have all the flexibility of open-source tools and open-source workflow descriptions. Workflows in data-driven science such as computational biology have considerably gained in complexity. New tools or new releases with additional features arrive at an enormous pace, and new reference data or concepts for quality control are emerging. A well-abstracted workflow and the exchange of the same across work groups have an enormous impact on the efficiency of research and the further development of the field. High-throughput sequencing adds to the avalanche of data available in the field; efficient computation and, in particular, parallel execution motivate the transition from traditional scripts and Makefiles to workflows. We here review the extant software development and distribution model with a focus on the role of integration testing and discuss the effect of common workflow language on distributions of open-source scientific software to swiftly and reliably provide the tools demanded for the execution of such formally described workflows. It is contended that, alleviated from technical differences for the execution on local machines, clusters or the cloud, communities also gain the technical means to test workflow-driven interaction across several software packages.

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