{"title":"A record-keeping approach to managing IoT-data for government agencies","authors":"Thomas Sødring, Petter Reinholdtsen, David Massey","doi":"10.1108/rmj-09-2019-0050","DOIUrl":null,"url":null,"abstract":"\nPurpose\nParticular 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.\n\n\nDesign/methodology/approach\nThis 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.\n\n\nFindings\nRecord 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.\n\n\nResearch limitations/implications\nThe 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.\n\n\nOriginality/value\nThe 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.\n","PeriodicalId":20923,"journal":{"name":"Records Management Journal","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2020-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/rmj-09-2019-0050","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Records Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/rmj-09-2019-0050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 8
Abstract
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.
期刊介绍:
■Electronic records management ■Effect of government policies on record management ■Strategic developments in both the public and private sectors ■Systems design and implementation ■Models for records management ■Best practice, standards and guidelines ■Risk management and business continuity ■Performance measurement ■Continuing professional development ■Consortia and co-operation ■Marketing ■Preservation ■Legal and ethical issues