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This paper presents results of a study on data managers' perspectives on the evolution of Designated Communities and the FAIR Principles using an example of a geological repository.

The study employed 10 semi-structured interviews with data managers at a state geological survey and qualitative analysis of the interview transcripts.

The Designated Community for a collection in this data repository has evolved from petroleum industry users to include academic researchers and the public. This change was accompanied by significant user interaction changes from in-person, reference interview-style conversations to anonymous digital, automated interactions. The main factors driving these changes were developments in technology which allowed the data managers to shift data discovery and access into the online environment. The online data portal has seen increasing non-expert use, driving the data team to develop additional services for these new communities. Repository data team participants varied in their familiarity with the FAIR Principles and their perceptions of the FAIRness of the data in the repository.

The study was limited to one organization in the United States. However, the results are applicable to other data environments working through the tensions between high-level global frameworks such as FAIR, and continuing to serve the day-to-day needs of their designated communities. Continued work on how to assess success in this complex space is needed.

This paper lies at the nexus of two digital preservation frameworks and contributes to a limited extant literature providing guidance on implementing the concept of a Designated Community in practice.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Natural disasters, such as Hurricane Katrina (the most destructive natural calamity in US history), have destructive impact on residents, critical infrastructure, as well as, functions and services of associated industries in the affected areas. In addition, due to a lack of both understanding of natural disaster impacts and preparedness to the hurricane, it was revealed that the emergency‐related organizations were not prepared to maximize the use of the critical infrastructure to mitigate the impacts. The purpose of this paper is to help those organizations have more understanding of disaster impacts and facilitate their decision making in order to prepare better mitigation plans.

A disaster impact mechanism and inter‐relationships based on the main functions of associated industries are derived through an extensive literature review and case analyses. Based on these inter‐relationships, a decision support system is developed and evaluated using a winter flood disaster event in the USA as a case study. The level of inter‐relation is chosen as a metric to measure the weights for inter‐relationships between critical infrastructure and associated industries. These weights are obtained through expert interviews and surveys.

The healthcare industry, for example, is revealed as the most dependent industry and the electricity and transportation infrastructure are the most significant to the communities and the associated industries.

The cell model of the disaster impact mechanism, the inter‐relationship approach, and the use of the concept of level‐of‐service in this paper will contribute to improving the methodology in the area of disaster impact analysis and mitigation.