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  4. Towards a better representation of research objects in interdisciplinary research

Towards a better representation of research objects in interdisciplinary research

Author(s)
Keywords

current research info...

research objects

interdisciplinarity

public engagement

Issue Date
May 14, 2022
Publisher
euroCRIS
Source
Procedia Computer Science 211: 67-73 (2022)
Type
Conference Proceeding
Abstract
The Cluster of Excellence “Matters of Activity. Image Space Material” (MoA) is funded by the German Research Foundation (DFG) under Germany's Excellence Strategy from 2019 to 2025 (https://www.matters-of-activity.de/en/). Our research organization spans 40 disciplines investigating active material from several angles in interdisciplinary project setups. These include the natural sciences, humanities, medicine, design disciplines, informatics, and external industry partners. It’s easy to see that architects have other output needs than surgeons, art historians, or computer scientists. A robot arm for surgery requires different metadata than an exhibition about bio-inspired materials or 3D models of wooden structures. It is also important to cover research software output next to research data publications.
Embracing more diverse research output aligns with the current development of research results recognition, see for example Katerbow et al (2018), Jay et al (2021), European Commission (2021), and DORA resources (https://sfdora.org/resource-library/). We are aware of active development (at CERIF and KDSF) regarding the inclusion of extended metadata to reflect the diversity of today’s research output. In our contribution, we present MoA CRIS, an improved setup tailored towards interdisciplinary projects with an extended metadata schema. We are looking forward to comparing our system and metadata schema with new developments.
Description
Extended abstract to be presented at the CRIS2022 conference in Dubrovnik.-- Event programme available at https://cris2022.srce.hr/#section-program
URI
https://dspacecris.eurocris.org/handle/11366/1966
DOI
https://doi.org/10.1016/j.procs.2022.10.177
File(s)
Thumbnail Image
Name

Struck_et_al_CRIS2022_Towards-a-better-representation.pdf

Description
Extended abstract (PDF)
Size

43.33 KB

Format

Adobe PDF

Checksum (MD5)

d995bfe51e23174fb0ae684d844c23b2

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