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While remote collaboration is not new in DH, it has had a profound impact on the DH research, education and community in the past couple of years due to the health, security and financial crises. If absorbed appropriately, it can also prove beneficial in overcoming the various environmental, geographical, mobility and other barriers in the future, making DH more resilient, inclusive and diverse. This is why the main objective of the proposed workshop is to develop a better understanding of the dynamics on the Digital Humanities work floor when researchers, teachers and/or professionals with different areas of competence engage in remote collaboration to solve humanities research questions, and to explore how education and training of humanities scholars, cultural heritage professionals and technical experts can help making remote collaboration across disciplines more efficient and effective, more creative and innovative, and more inclusive and rewarding for all participants. To this end, we invite submissions reporting on all aspects and stages of engaging in remote collaborative research and teaching in DH, including the obstacles encountered and solutions found. We are also welcoming position papers on the role of research infrastructures to better facilitate remote collaboration in DH.

Storytelling serves as a timeless method of communication in archaeological contexts. Cultural Heritage stakeholders are interested in raising awareness to the public for the findings of their research in an effective and engaging way using both traditional and media-based resources.This is also the case of three research projects, myEleusis, Voeska and Periplous, where archaeologists collaborate with authors, designers andtechnology providers to develop digital storytelling experiences with the scope to interpret, communicate and reflect about the past and the discoveries of the archaeological sites of Eleusis, Arta and Epidaurus accordingly.

An abstract model that represents the general workflow for accessing CC services. A sequence of actions required to beperformed by users to fulfill access requests. Adaptable through specializations, capable to express the established parameters.

Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use “digital laboratories” (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure. This is the preprint of an article published at TPDL conference 2019. Please cite as: Baglioni M. et al. (2019) The OpenAIRE Research Community Dashboard: On Blending Scientific Workflows and Scientific Publishing. In: Doucet A., Isaac A., Golub K., Aalberg T., Jatowt A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science, vol 11799. Springer, Cham

Presentation given to researchers and research support staff for projects funded by Luxembourg's national funder (FNR) as part of an information session on their new Open Access policy and Open Access Fund (to reimburse APCs and BPCs). The slides are adapted from a series of presentations given to early-career researchers. The idea is to break some of the myths around OA (e.g. OA is a journal, OA is only possible the 'Gold' way) and encourage researchers to always self-archive their publications. The presentation uploaded was given on 01/03/2018 and 07/03/2018.

Stories of the past should be told from multiple perspectives to make sure that memories are kept alive and vibrant. This paper traces difficult heritage in an attempt to restore historical information and shed light to stories of an inherently “difficult” historical period, the German Occupation in Greece. In our work we have focused on Block 15, an infamous site of the Haidari Concentration Camp, that served as isolation and torture area. To revive the stories and experiences from this camp, we have first studied historical resources, which were considered as our primary source. A secondary source we have worked with is the storyline of the interactive Block 15 scenario, i.e. the scenario of an immersive VR experience. This scenario, as a way of expressing the living experience, redefines memory by highlighting emotions, wounds and memories that are yet to be seen. The documented information coming from both the primary and the secondary sources has been manually annotated and then organized into a knowledge base, which supports queries even of high complexity. For its development we have used the CIDOC CRM model, which has been extended to include specializations of classes and relationships, that explicitly capture the difficult heritage semantics of our digital stories, e.g. the concept of prisoner, of occupier, of a torture activity. By adding these specializations to our model, we are able to narrate the documented stories in detail and “narrates”, as accurately as possible, the historical storytelling of the scenario and the “stratopedic literature” by using classes and properties of a well defined ontology. This extended model has been encoded into RDF/S and the knowledge base has been successfully tested against complex SPARQL queries of historical interest. Such complex queries can serve as a basis to establish a different aspect to digital storytelling by stepping away from a linear, official, or idealized presentation of the past to “historical poetics”. Potential users are able to easily search and retrieve the historical information about Block 15 during 1943-1944, either by expressing their own SPARQL queries or by using one of the predefined that are already expressed. Our future plans include the expansion of the knowledge base, to test its applicability with respect to historical documentation coming from other concentration camps on one hand, while on the other hand to evaluate the extended model regarding the representation of digital stories concerning other aspects of difficult heritage.

Humanities researchers often need to study heterogeneous digitized archives from different sources. But how can they deal with this heterogeneity, both in terms of structure and semantics? What are the digital tools they can use in order to integrate resources and study them as a whole? And what if they are unfamiliar with the methods and tools available? Towards this end, DARIAH-EU[1] and CLARIN[2] research infrastructures already support researchers in exploiting digital tools. Specific use case research scenarios have also been developed, with the PARTHENOS SSK[3] being a successful example. In this paper we describe our related (ongoing) experience from the development of the Greek research infrastructure APOLLONIS[4], where, among others, we have focused on identifying and supporting the workflows that researchers need to follow to perform specific research studies while jointly accessing disparate archives. Using the decade of 1940s as a use case, a turbulent period in Greek history due to its significant events (WWII, Occupation, Opposition, Liberation, Civil War), we have assembled (digitized) historical archives, coming from different providers and shedding light on different historical aspects of these events. From the acquisition of the resources to the desired outcome, we record the workflows of the whole research study, including the initial curation process of the digitized archives, the ingestion, the joint indexing of the data, the generation of semantic graph representations and, finally, their publication and searching. After the acquisition of the heterogeneous source materials we perform a detailed investigation of their structure and contents, in order to map the different archive metadata onto a common metadata schema, thus enabling joint indexing and establishing semantic relations among the contents of the archives. The next step is data cleaning, where messy records are cleaned and normalized. Natural Language Processing methods are then exploited for the extraction of additional information contained in the archival records or in free text metadata fields, such as persons, places, armed units, dates and topics, which enhance the initial datasets. The outcome is encoded in XML using the common schema and ingested into a repository through an aggregator implemented using the MoRE[5] system. A joint index based on a set of basic criteria is generated and maintained, thus ensuring joint access to all archival records regardless of their source. In addition, an RDF representation is generated from the encoded archival data, enabling their publication in the form of a semantic graph and supporting interesting complex queries. This is based on a specifically designed extension of CIDOC CRM[6] and a compilation of a list of research queries of varying complexity encoded in SPARQL. Preliminary tests of the entire workflows and the tools used in all steps yielded very encouraging results. Our immediate plans include full scale ingestion and indexing of the material from a number of archives, producing the corresponding semantic graph and streamlining the incorporation of new archives. [1]DARIAH-EU, https://www.dariah.eu/ [2]CLARIN, https://www.clarin.eu/ [3]PARTHENOS Standardization Survival Kit (SSK), http://www.parthenos-project.eu/portal/ssk-2 [4]APOLLONIS Greek Infrastructure for Digital Arts, Humanities and Language Research and Innovation, https://apollonis-infrastructure.gr/ [5]MoRE Aggregator, http://more.dcu.gr/ [6]CIDOC CRM, http://www.cidoc-crm.org/

AbstractMetadata enrichment through text mining techniques is becoming one of the most significant tasks in digital libraries. Due to the exponential increase of open access publications, several new challenges have emerged. Raw data are usually big, unstructured, and come from heterogeneous data sources. In this paper, we introduce a text analysis framework implemented in extended SQL that exploits the scalability characteristics of modern database management systems. The purpose of this framework is to provide the opportunity to build performant end-to-end text mining pipelines which include data harvesting, cleaning, processing, and text analysis at once. SQL is selected due to its declarative nature which offers fast experimentation and the ability to build APIs so that domain experts can edit text mining workflows via easy-to-use graphical interfaces. Our experimental analysis demonstrates that the proposed framework is very effective and achieves significant speedup, up to three times faster, in common use cases compared to other popular approaches.