Collaborative management of business metadata

Hüner, Kai; Otto, Boris; Österle, Hubert

doi:10.1016/j.ijinfomgt.2010.12.002

Cited by 21 publications

(12 citation statements)

References 14 publications

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“…The information structure consists of element or attribute values that are referred to the description of the data, such as attribute value about data owner, data format, and so forth. The main aim of metadata schema development is to ease in understanding, organizing and storing the data [15], [16]. White (2005) [15] identifies four categories of metadata: structural metadata, content metadata, descriptive metadata and administrative metadata.…”

Section: A Metadata Schemamentioning

confidence: 99%

Metadata Schema for Traditional Knowledge

Sensuse¹,

Noprisson²,

Sucahyo³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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Approximately four hundred indigenous communities in Indonesia originally utilize their traditional knowledge for supporting their daily life. Because of many benefits of that knowledge, many stakeholders have started to collect and write it into a digital report. However, the digital report was still documented in the different format of metadata because there is no specific metadata schema for describing digital data of traditional knowledge. Moreover, the differences of metadata schema will make the difficult process of documenting, managing and disseminating this traditional knowledge. To overcome this problem, this work attempted to design specific metadata schema for a domain of traditional knowledge by utilizing metadata development methods, i.e., domain analysis, derivation analysis, system-centric analysis, user-centric analysis and resource-centric analysis. The selection of those methods based on literature review result toward research articles that presented about metadata development. As a result, this paper proposed metadata schema of traditional knowledge that consists of 37 metadata elements which are categorized into 6 metadata sections, i.e., supporting data, material, supporting tool, success story, knowledge source, and knowledge engineer.

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Section: A Metadata Schemamentioning

confidence: 99%

Metadata Schema for Traditional Knowledge

Sensuse¹,

Noprisson²,

Sucahyo³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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“…In order to facilitate understandability of information services by different parties, metadata governance necessitates forming a collaborative repository of metadata used by different parties. 85,86 An information service that is provided by a party to be used within a networked business process by another party (see Figure 3), should be referred to its related metadata in a collaborative metadata repository. Change of information service provenance that is triggered by dynamic partnering troubles the availability of a relevant metadata in a formed collaborative metadata repository.…”

Section: Metadata Issuesmentioning

confidence: 99%

“…Change of information service provenance that is triggered by dynamic partnering troubles the availability of a relevant metadata in a formed collaborative metadata repository. 86 It also troubles the traceability of metadata related to a provided information service. 87 A metadata governor, which is responsible to align semantics used in different information services by different parties, also needs to evolve collaborative metadata to keep it aligned with the semantics of new information services (see Figure 2).…”

Section: Metadata Issuesmentioning

confidence: 99%

Information Governance in Dynamic Networked Business Process Management

Rasouli

Eshuis

Grefen

et al. 2016

Int. J. Coop. Info. Syst.

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Competition in today's globalized markets forces organizations to collaborate within dynamic business networks to provide mass-customized integrated solutions for customers. The collaboration within dynamic business networks necessitates forming dynamic networked business processes (DNBPs). Networked business processes need to be supported by high quality information that is exchanged in a trustworthy environment. Information governance (IG) is described as a holistic approach to different mechanisms that support high quality and secure information exchanges. However, dynamism of networked business processes causes IG issues like unsecured information access and low quality information products to emerge. In this paper a comprehensive list of the IG issues in DNBPs are identified through structured steps. The identified IG issues are characterized within four main categories, respectively, information product quality, information service quality, information security, and metadata issues. For the evaluation of the practical significance of the identified IG issues, a case study is conducted in a business network that provides mobility solutions. In this way, the paper closes the gap between studies on IG, which have mostly concentrated on IG within the borders of a single organization or IG in stable business networks, and studies on dynamic business networks, which have addressed the formation of dynamic inter-organizational interactions without paying rigorous attention to information artefacts that are exchanged.

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“…Apibrėžti veiklos objektus, jų sąveiką (Hüner et al, 2011) Įmonių keitimasis duomenimis su kitomis įmonėmis, valstybinėmis institucijomis bei vidaus ataskaitos ir planavimas reikalauja išsamių, laiku, aiškiai ir suprantamai nusakytų veiklos objektų (pvz., medžiagų, klientų, darbuotojų, tiekėjų), uždavinių. Metaduomenys turi apimti tiek srities ypatumus, tiek standartizuoti vidaus duomenų struktūras ir formatą.…”

Section: Duomenų Naujinimui (Apsikeitimui) (богданов Ir куликов 2007)unclassified

Veiklos duomenų integravimas: Problemos, ypatumai ir metaduomenų svarba

Kalibataitė

2014

Social Technologies

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Tikslas-remiantis mokslinių ir praktinių studijų analize atskleisti bei pagrįsti, kad metaduomenys-gyvybiškai svarbus veiksnys, siekiant kokybiškos ir objektyvios veik los duomenų integracijos. Metodologija-literatūros šaltinių analizė-veiklos duomenų valdymo tikrovei ir šiuolaikėms integravimo reikmėms, problemoms atskleisti bei pažymėti metaduomenų valdymo svarbą. Veiklos procesų, duomenų grafinis vaizdavimas-integruoto informa cijos valdymo procesų aspektams bei metaduomenų valdymo ir taikymo uždaviniams pažinti, atskleisti. Rezultatai-atskleistos priežastys, kodėl įmonėse neracionaliai įgyvendinami duo menų integravimo sprendimai ir kokias naujas integracines reikmes kelia šiandienos veiklos aplinka, skatinanti ieškoti efektyvesnių integravimo formų, pvz., metaduome nimis grįsto integravimo. Galiausiai, atliktas praktinis (žmogiškųjų išteklių (ŽI) srities) tyrimas integracijos aspektu-įvertinti realūs duomenų valdymo ir integravimo aspek tai, atlikus ŽI informacinės veiklos analizę. Tyrimo ribotumas-rekomenduojami kai kurie galimi duomenų integravimo vyk dymo gerinimo būdai. Praktinė reikšmė-atlikti teoriniai ir empiriniai tyrimai prisideda prie veiklos duomenų integravimo, ypač metaduomenimis grindžiamo, teisingo supratimo ir įgy vendinimo stiprinimo. Rezultatai vertingi praktikams, nes pateikia šiuolaikiškų žinių, naujų įžvalgų, kurios atskleidžia savitas integruoto duomenų valdymo problemines

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Collaborative management of business metadata

Cited by 21 publications

References 14 publications

Metadata Schema for Traditional Knowledge

Metadata Schema for Traditional Knowledge

Information Governance in Dynamic Networked Business Process Management

Veiklos duomenų integravimas: Problemos, ypatumai ir metaduomenų svarba

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