DSPACE FOR CULTURAL HERITAGE: ADDING SUPPORT FOR IMAGE VISUALIZATION, AUDIO/VIDEO STREAMING

AND ENHANCING THE DATA MODEL

GLAM

A variety of multidisciplinarydata are related to Cultural Heritage

Different in:TypologyFormatStructureScale

More and more complexity…

In the humanities most of the dataare created or collected by people(not measured by instruments)

They are affected by individuals, place, time

The are fragmentary, partial, biased

Source: http://www.asianscientist.com/2016/07/print/body-as-a-source-of-big-data/

Putting data in context…

Digital Cultural Data have to be analyzed togetherwith all contextual information, digital and notdigital, needed to answer research questions, suchas:

• (cultural, social, economic, technological…) production context of a document/monument

• formation processes of the archaeologicalrecord

• contextual associations at different levels and scales (according to the different dimensions of variations)

Source: https://ddd.uab.cat/pub/expbib/2006/terradefoc/10.pdf

…within a Digital Library Management System

Today most of the cultural digital resources are in the Digital Libraries or Repositories

Digital Libraries and Repositories must provide tools for:

• modeling, visualising and analysing information, both in a qualitative and quantitative way, as well as collaboratively working on it

• highlighting the relationships between data at different scales• explaining interpretations about the important dimensions of variation and about the network

of contextual relations in which historical and archaeological sources are involved

entering the daily workflow of historians, archaeologists and humanities scholars.

,

DSpace-GLAM(Galleries, Libraries, Archives, Museums)

Built by 4Science on top of DSpace and DSpace-CRIS to meet the needs of Cultural Heritage institutions

Flexible and extensible data model to manage relevant metadata standardsand specific conceptual models

Dedicated add-ons for digital objectscuration, fruition and sharing

Add-on for datasets visualization and analysis

Extending the Data Model

DSpace-GLAM can manage all the entities important to contextualize the digital cultural heritage:

• Persons• Families• Fonds• Events• Places• Concepts• …………..

Entities can be created to integrate different metadata standards and conceptual models

Managing archival objects

The data model can be extended in order to manage the hierarchical metadata structure required by archivalstandards such as ISAD (G) and EAD

DSpace-GLAM can also manage the production and preservation context of the archive required by ISAAR-CPF, EAC-CPF and ISDIAH

https://dspace-glam.4science.it/cris/fonds/fonds00036/fondscontext.html

Overview of the DSpace-GLAM data model

Overview of the DSpace-GLAM data model

Overview of the DSpace-GLAM data model

Extending the Data Model

Painting: The flagellation Painter: Piero della Francesca

Event: Council of Ferrara (AD 1438)

Event: Council of Mantua (AD 1459)

Place: Ferrara Concept: RenaissanceConcept: Humanism

Person: Emperor John VIII Palaiologos

Place: Mantua

https://dspace-glam.4science.it/cris/rp/rp00001

Interpretation: Ronchey

Visualizing relationships between historical figures

4Science IIIF Image Viewer Addon

IIIF Compliant

1. Presentation API

2. Image API

3. Search API

4. Authentication API (soon)

DSpace item with “see online option”

Offering an integrated Universal Viewerplayer

IIIF Image API allows a smooth interaction with the image files

IIIF Presentation API generated on the fly using the metadata of the item and the bitstreams

Bitstreams metadata

Hierarchical ToC

An example from a PDF document offered as a complex package of page-image

Link images with their textual transcription / OCR

Indexing standard format (hOCR) in a webannotationserver to supply IIIF Search API

Side by side – image vs text using an additional OCR panel

An example in Arabic charactershttps://dspace-glam.4science.it/handle/1234/24

IIIF Image Viewer: share and reuse

Share images with other scholars/users without waiving proper attribution, e.g. using the «manifest» JSON file:

https://dspace-glam.4science.it/json/iiif/1234/11/30/manifest

in another IIIF Image Viewer:http://projectmirador.org/demo/

Audio/Video streaming

Full open source stack:1. Transcoding2. Adaptive streaming3. MPEG-DASH standard

Audio/Video streaming

https://dspace-glam.4science.it/explore?bitstream_id=1841&handle=1234/7&provider=video-streaming

Allows the transcode of the audio/video formats in a format and encoding appropriate to the adopted media server (adaptive video streaming)

Using the DASH standard protocol allows sharing video with other scholars/users without waiving proper attribution, e.g. using the «manifest» XML file: https://dspace-glam.4science.it/av-stream/1841/ch/0/29/94/83/manifest.mpd

in another DASH clienthttp://dashif.org/reference/players/javascript/v2.4.1/samples/dash-if-reference-player/index.html

Visualizing and analysing datasets

We look at Dspace-GLAM not only as a tool for management and preservation, but also for analysis

Our integration with CKAN allows the visualization and analysis of repertoires and inventories by means of grids, graphs or maps

Datasets can also be related to items and otherentities

https://dspace-glam.4science.it/handle/1234/15

Archaeological finds geolocalization

https://dspace-cris.4science.it/ch/explore?bitstream_id=1927&handle=1234/15&provider=ckan-recline

Visualizing and analysing datasets

https://dspace-glam.4science.it/explore?bitstream_id=1971&handle=1234/22&provider=ckan-recline

Pottery distribution

Why do I need DSpace-GLAM?

• DSpace-GLAM is a powerful extension of DSpace created by 4Science

to meet the needs of Galleries, Libraries, Archives and Museums

• to be able to manage, analyze and preserve digital objects

• together with historical, archaeological or other cultural datasets,

• relating them with other entities such as persons, events, places,

concepts, etc.

• to describe the context of cultural objects and data, according to

different granularity levels, and to different interpretations

• using worldwide adopted, cutting-edge, open-source software and

open standards

• The goal is to provide an environment for integrating the traditional hermeneutic and interpretative work of historical sciences with data analysis

• In this way, we hope, there may be a fundamental change in the way digital cultural heritage is experienced, analyzed and contributed to by the whole scientific community

Data Science in a Digital Humanities Framework

Thanks for your attention

Andrea Bollini

<andrea.bollini@4science.it>

mobile: +39 333 934 1808

skype: a.bollini

orcid: 0000-0002-9029-1854

Claudio Cortese

<claudio.cortese@4science.it>

mobile: 333 9340846

skype: claudio.cortese74

orcid: 0000-0003-4572-9711