sciebo Research Data Services (II) – Research Data Management Services and Tools for Scientists (sciebo RDS)

“sciebo科研数据服务（二）-科研数据管理服务和科学家工具”项目旨在为科研数据管理提供特别低门槛的服务，以减少科学家的工作量，提高对专业科研数据管理的接受程度，并满足外部来源和赞助商的要求。Sciebo RDS基于Sciebo，这是一项云存储服务，自2015年以来由25所大学和Forschungszentrum j<s:1> lich联合运营，已经有大约9万所大学成员使用。科学家们使用sciebo在研究项目中进行合作并交换研究数据。sciebo作为一种熟悉且使用直观的服务，适合引入结构化的科研数据管理，其工具范围应相应扩展。然而，明确强调的是，无意为研究数据建立额外的存储库或创建虚拟研究环境意义上的其他服务。相反，sciebo将以一种可以连接或集成现有存储库和服务的方式进一步开发。因此，该项目的目标是在sciebo作为一个工作环境和在访问域内建立的交换、归档和出版服务的永久存储之间建立一座桥梁（参见策展域模型）。为此，RDM功能、外部研究数据服务（如CLARIN-D、Zenodo、research data Management organizer）和外部专家工具（如oXygen、Lightroom）将被集成、连接或适应sciebo。

The project "sciebo Research Data Services (II) – Research Data Management Services and Tools for Scientists" aims to provide particularly low-threshold services for the management of research data, in order to reduce the effort on the part of the scientists, increase the acceptance of professional research data management, and meet the requirements of external sources and sponsors. Sciebo RDS is based on sciebo, a cloud storage service which has been run jointly by 25 universities and Forschungszentrum Jülich since 2015 and is already used by about 90,000 university members. Scientists use sciebo to collaborate in research projects and to exchange research data. As a familiar and intuitively used service, sciebo lends itself for the introduction of a structured research data management, and its range of tools should be extended accordingly. However, it is explicitly emphasized that there is no intention to build an additional repository for research data or create other services in the sense of a virtual research environment. Rather, sciebo is to be developed further in such a way that existing repositories and services can be connected or integrated. Thus, the project’s goal is to create a bridge between sciebo as a working environment and the permanent storage in established exchange, archiving and publishing services within the access domain (see Curation Domain Model). For this purpose, RDM functionalities, external research data services (e.g. CLARIN-D, Zenodo, Research Data Management Organiser), and external expert tools (e.g. oXygen, Lightroom) are to be integrated, connected or adapted for sciebo.