Expressing the Needs of Digital Audio-Visual Applications in Different Communities of Practice for Long Term Preservation


Publication date



Oslo and Akershus university college of applied sciences

Document type


Joint Master Degree in Digital Library Learning (DILL)


Digital audio-visual preservation is nerve of the research nowadays in this digital world, where use of audio-visuals in creation and storage of research data has increased rapidly. Thereby it has created many opportunities for new problems regarding their maintenance, preservation and future accessibility. Lack of awareness about the preservation tools and applications is a big issue today. To solve such issues a European Commission research project, Presto4U that aimed to enable semi-automatic matching of preservation tools with audio-visual needs has been initiated. To express the audio-visual needs formally it has mapped a knowledge schema. The knowledge schema was first cut and needed evaluation, so it’s being evaluated through this study in terms of its ability to represent the Needs of different communities of practice, classes, their association and ability to represent requirements of Audio-visual community through properties of its classes. This evaluative study is conducted through Qualitative research approach using Interview and Questionnaire as data collection techniques. Interviews were conducted to explain the content of Presto4U inherited questionnaire as the matter related to knowledge schema was difficult to understand. Open Archival Information System (OAIS) reference model is used as theoretical framework because it provides complete guide on how to preserve a digital document for long term. Fourteen members from whole Europe belonging to three communities of practice namely research and scientific collections; Video Production and Post Production; Learning and Teaching Repositories have provided their needs for analysis. Data was analysed through six different stages. To summarise, in stage 0 matching questions of questionnaire with knowledge schema format was carried out to make sure answers of which question would match to properties of different classes of knowledge schema; In Stage 1varification of above matching process was done using the raw data; In stage 2 the concept of Need was modelled through OAIS reference model and questionnaire to categorise need belonging to any organisation; In stage 3 the data was presented as need concept in class ‘Need’ along with its attributes; In stage 4 the above consolidated data was put into knowledge schema (KS) with all classes and attributes to check whether KS able to withhold all data or not with respect to classes and their associations; and finally In stage 5 needs were summarised according to type of content such as Audio, Video and Image & functional units of OAIS reference model which it belong to. The study has discovered that knowledge schema is very useful to express the needs of communities of practice but it is important that data must be collected in such a manner that it can easily fit into the structure of knowledge schema. The data analysis showed that the areas on which technology is desired are storage, streaming, preservation, digital asset management, high resolution. On the other hand Technology to manage metadata, tools for rights management, and metadata schema were technical barriers for the CoPs. The present study have likely to discovered the need of new attribute ‘Organisational Asset’ for the Class Need to cover variety of questions in expressing certain organisation and its Need. The concept of Need expressed in the knowledge schema is able to grasp the requirements of audio visual community. All the attributes of Need class were very open and covered the data as provided by the member organisations. Regarding the association of the classes it was found that many ‘Needs’ may have many ‘Datasets’. Further research with all nine communities of practice is suggested by using more effective research tools. Keywords: Audio visual, knowledge schema, Presto4U, Digital, OAIS reference model, community of practice.


Permanent URL (for citation purposes)