Documentation for cultural heritage places usually refers to describing the physical attributes, surrounding context, condition or environment; most of the time with images, graphics, maps or digital 3D models in their various forms with supporting textural information. Just as important as this type of information is the documentation of managerial attributes. How do managers of cultural heritage places collect information related to financial or economic well-being? How are data collected over time measured, and what are significant indicators for improvement? What quality of indicator is good enough? Good management of cultural heritage places is essential for conservation longevity, preservation of values and enjoyment by the public. But how is management documented? The paper will describe the research methodology, selection and description of attributes or indicators related to good management practice. It will describe the criteria for indicator selection and why they are important, how and when they are collected, by whom, and the difficulties in obtaining this information. As importantly it will describe how this type of documentation directly contributes to improving conservation practice. Good practice summaries will be presented that highlight this type of documentation including Pamplona and Ávila, Spain and Valletta, Malta. Conclusions are drawn with preliminary recommendations for improvement of this important aspect of documentation. Documentation of this nature is not typical and presents a unique challenge to collect, measure and communicate easily. However, it is an essential category that is often ignored yet absolutely essential in order to conserve cultural heritage places.
CITATION STYLE
Eppich, R., & Grinda, J. L. G. (2015). Management documentation indicators & good practice at cultural heritage places. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 40, pp. 133–140). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-5-W7-133-2015
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