Research: DILAM Conceptual Model

The Digital Images for Libraries, Archives and Museums (DILAM) conceptual model was created based on the entity relationship modeling (Simionato, 2015a). Including the abstractions that these contexts brought to digital image and these difficulties to create an image domain. Is important say that DILAM is not a new standard metadata. DILAM conceptual model was also a consequence of the study of conceptual models for specific domains. For example, Functional Requirements for Bibliographic Records (FRBR), Authority (FRAD) and Subject (FRSAD), Conceptual Model for Archival Description (CMAD), Modular Requirements for Records Systems (MoReq) and Conceptual Reference Model (CRM).

The modeling process was based on three steps.
The first step made from the parameters of the models studied and descriptive essence of a digital image. Thus, functional requirements to the DILAM are: a) find or explore the features of image collection, b) choose the desired pictures between the subjects, using attributes and relationships, c) recognize the responsibilities of creating a digital image resource, getting the credit, using attributes and relationships, d) obtain image feature, selected and identified (Simionato, 2015a).
The second step consists on choosing the appropriate metadata derived from the crosswalk method (St. Pierre & LaPlant, 1998). Some metadata standards were used, such as: Anglo-American Cataloguing Rules second edition revised (AACR2r), Cataloging Cultural Objects (CCO), Categories for the Description of Works of Art (CDWA), Categories for the Description of Works of Art Lite (CDWA Lite), Describing Archives content standard (DACS), Dublin Core (DC), Encoded Archival Description (EAD), Graphic Materials, International Standard Archival Description General (ISAD(G)), International Standard Bibliographic Description consolidated edition (ISBD), Resource Description and Access (RDA), Rules for Archival Description (RAD) and SPECTRUM.
Finally, the last step determined that the qualities of entity relationship modeling could be compatible with entities composed of the FRBR family.

They could also be compatible with the entities that match the integration of contexts. Chronos, for instance, is an entity identified in contexts and in the definition of the attributes needed on archives and museums. Fysikos is an entity needed for physical properties, as EXIF data. It is a part of the scope of museology in the cautious evaluation of the resource, on which the resources are the analog image if there was any damage or other occurrences. Ríza covers the specific needs for the identification of the origin and provenance. At last, the Érgo entity matches the needs that have to be reported, such as the classification, evaluation and curation (Simionato, 2015a).

References
Coyle, Karen, Thomas Baker. (2009). Guidelines for Dublin Core application profiles. Retrieved, April 10, 2015, from http://dublincore.org/documents/profile-guidelines/
Simionato, Ana C. (2015a). Modelagem conceitual DILAM: princípios descritivos de arquivos, bibliotecas e museus para o recurso imagético digital (DILAM Conceptual Modeling: principles of archives, libraries and museums for digital image resource). UNESP. Retrieved, March 10, 2015, from http://hdl.handle.net/11449/123318
Simionato, Ana C. (2015b). DILAM Conceptual Model. Retrieved, July 20, 2015, from https://goo.gl/M7nlTN
St. Pierre, Margaret, William P. LaPlant (1998). Issues in crosswalking content metadata standards. Baltimore: NISO. Retrieved, March 10, 2015, fromhttp://www.niso.org/publications/white_papers/crosswalk