No abstract

How can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/.

Infrastructure for facilitating access to and reuse of research publications and data is well established nowadays. However, such is not the case for software. In spite of documentation and reusability of software being recognised as good scientific practice, and a growing demand for them, the infrastructure and services necessary for software are still in their infancy. This paper explores how quality assessment may be utilised for evaluating the infrastructure for software, and to ascertain the effort required to archive software and make it available for future use. The paper focuses specifically on digital humanities and related ESFRI projects.

Abstract.Research data is -regardless its disciplinary provenance -very heterogeneous in terms of data formats, applied research methods and content. In contrast to publications, a much broader spectrum of data representations has to be considered by research data infrastructures. Within the Humanities Data Centre project (HDC) an initial service portfolio for research data from the humanities has been developed in its design phase (2014)(2015)(2016). Not only does this service portfolio has to facilitate the re-use of research data by third parties, a service anybody would expect as conventional for a research data centre, but it also has to provide novel benefits for the providers of research data to promote their contribution of data, documentation and support.As an example for these intended benefits for research data providers we will introduce two service components: the application preservation and the referencing of complex software environments. Jointly applied they enable researchers to archive and reference to complex representations of research data such as digital editions, virtual research environments, or data visualisations.

No abstract