The NFDI4Objects consortium sees itself as an interdisciplinary NFDI consortium. One focus is on archaeological objects. It includes environmental history as well.
„TA6) NFDI4Objects for Commons and Qualification deals with the data management – related requirements for multidisciplinary data evaluation processes, the establishment and maintenance of NFDI4Objects‘ own commons and the development of tailor-made qualification offers“.
Research data generated during the various project phases are very heterogeneous and must be well prepared, documented and archived.
Analog methods are transferred to digital.
NFDI4Objects develops technological possibilities for long-term archiving solutions.
Research data should be able to be exchanged across disciplines. Very different types of research data are involved, e.g. historical data:
databases, digital archives (drawings, plans, photographs) and legacy data as well as local records, registers of monuments/local files, historical maps and archive data that need to be transferred to a digital infrastructure as part of research processes.
The RDM service of Hildesheim university’s library participates in the TA6 of NFDI4Objects. This involves the data management-related requirements for multidisciplinary data evaluation processes, the development and maintenance of NFDI4Objects‘ own commons and the development of customized qualification offerings (e.g. RDMO question catalog).
Extract from an NFDI4Objects working paper:
„NFDI4Objects brings together a dedicated community to create a user- and demand-driven, internationally networked research data infrastructure for numerous related disciplines. This includes not only the field of archaeology in the broadest sense (represented by eight different archaeological disciplines in Germany), but also anthropology, architectural history (building research), ethnoarchaeology, geoarchaeology, archaeobotany, archaeozoology, archaeogenetics, palaeopathology, archaeophysics, archaeological conservation and various sub-disciplines in the field of archaeometry. These specialized disciplines share a methodological framework that is characterized by strong interdisciplinary links and includes many processes that generate extensive digital data. An important characteristic of the target group of NFDI4Objects is the a priori existing strong tradition and competence in the field of digitization methods and technologies among many of its members as well as the direct digital capture of the data.“
Networked research data management is our goal in research data management at the University of Hildesheim Foundation, i.e. interdisciplinary RDM in addition to the generic and subject-specific.
We have 4 departments at the University of Hildesheim Foundation with different institutes, each of which produces completely heterogeneous research data. Standards are important to us (data quality, metadata, quality dLZA) and, in the sense of FAIR, interoperability.
It is about links and the joint work with data, for example in cooperative research projects of the University of Hildesheim Foundation. The researchers should be able to exchange, interpret and combine relevant data sets that NFDI4Objects deals with, i.e. through ontologies, frameworks in the sense of the Semantic Web.
At the University of Hildesheim Foundation, the research data of the NFDI4Objects facilities would be interesting for the following institutes for interoperable use:
Biology – https://www.uni-hildesheim.de/fb4/institute/biologie/abteilung-biologie/aktuelles/
Mathematics, physics, etc. – https://www.uni-hildesheim.de/fb4/
Geography – https://www.uni-hildesheim.de/fb4/institute/geographie/bodenbewusstsein/ag-bokuhila/aktuelles/
The Center for World Music also deals with material culture (material and digital collections) – https://www.uni-hildesheim.de/center-for-world-music/ueber-uns/profil/
These data types and other research data are generated by NFDI4Objects:
„survey and field data, exploratory and survey records, sensor data, data from scientific analyses and laboratory protocols, image data, training/reference and signature data, 3D documentation data, spatially referenced data, databases, digital archives and data estates, and formally structured terminologies“.
For more information see: https://www.dfg.de/download/pdf/foerderung/programme/nfdi/absichtserklaerungen/2020/2020_nfdi_4objects.pdf
Survey data, field research data, etc. should be interoperable.
The IANUS project very often provides us with guidance for interoperability.
We are already using existing standards to avoid duplication of work and to be able to derive value from the project respectively.
„Through the work package „NFDI4Objects for Connection and Cross-linking“, the intensification of contacts to further initiatives is already being continuously expanded in the application phase. The focus here will be on scientific analytics (chemistry, physics) and medicine.“
Particularly interesting, for example, would be a cooperation regarding interoperability with NFDI4Objects for Storage in terms of adaptations.
„Measures required for this include the review and evaluation of existing regional or institutional solutions, the development of concepts for their integration, standardization, the adaptation to different user scenarios and the implementation of a discovery service for existing data and its long-term archiving.“
The area NFDI4Objects for Collecting would also be interesting for the University of Hildesheim Foundation (Center for World Music e.g.)
This would bring us to the R in terms of the FAIR principles, namely the „re-use“ of research data in terms of scientific integrity, which also plays a major role for us at the University of Hildesheim Foundation.
The results of NFDI4Objects should establish themselves as standards within interdisciplinary research data management, especially for other, smaller subjects for which there are no uniform solutions and working standards in research data management available yet.
In the area of training concepts, NFDI4Objects can be linked to already existing concepts in research data management, to those that are always based on generic questions about research data management and on the question catalogs in the data management plan perhaps, as an example.
General information on the National Research Data Infrastructure can be found on the platform forschungsdaten.info under this link: https://www.forschungsdaten.info/fdm-im-deutschsprachigen-raum/nfdi-nationale-forschungsdateninfrastruktur/informationen-zur-nfdi-nationale-forschungsdateninfrastruktur/