scholarly journals Towards a metadata-driven multi-community research data management service

2017 ◽  
Author(s):  
Richard Grunzke ◽  
Volker Hartmann ◽  
Thomas Jejkal ◽  
Ajinkya Prabhune ◽  
Hendrik Herold ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Community Research ◽  
Generic Programming ◽  
Management Service ◽  
Web Interface ◽  
Daily Work ◽  
Is Research ◽  
Research Data Management ◽  
Programming Interface

Nowadays, the daily work of many research communities is characterized by an increasing amount and complexity of data. This makes it increasingly difficult to manage, access and utilize to ultimately gain scientific insights based on it. At the same time, domain scientists want to focus on their science instead of IT. The solution is research data management in order to store data in a structured way to enable easy discovery for future reference. An integral part is the use of metadata. With it, data becomes accessible by its content instead of only its name and location. The use of metadata shall be as automatic and seamless as possible in order to foster a high usability. Here we present the architecture and initial steps of the MASi project with its aim to build a comprehensive research data management service. First, it extends the existing KIT Data Manager framework by a generic programming interface and by a generic graphical web interface. Advanced additional features includes the integration of provenance metadata and persistent identifiers. The MASi service aims at being easily adaptable for arbitrary communities with limited effort. The requirements for the initial use cases within geography, chemistry and digital humanities are elucidated. The MASi research data management service is currently being built up to satisfy these complex and varying requirements in an efficient way.

scholarly journals Towards a metadata-driven multi-community research data management service

2017 ◽  
Author(s):  
Richard Grunzke ◽  
Volker Hartmann ◽  
Thomas Jejkal ◽  
Ajinkya Prabhune ◽  
Hendrik Herold ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Community Research ◽  
Generic Programming ◽  
Management Service ◽  
Web Interface ◽  
Daily Work ◽  
Is Research ◽  
Research Data Management ◽  
Programming Interface

Nowadays, the daily work of many research communities is characterized by an increasing amount and complexity of data. This makes it increasingly difficult to manage, access and utilize to ultimately gain scientific insights based on it. At the same time, domain scientists want to focus on their science instead of IT. The solution is research data management in order to store data in a structured way to enable easy discovery for future reference. An integral part is the use of metadata. With it, data becomes accessible by its content instead of only its name and location. The use of metadata shall be as automatic and seamless as possible in order to foster a high usability. Here we present the architecture and initial steps of the MASi project with its aim to build a comprehensive research data management service. First, it extends the existing KIT Data Manager framework by a generic programming interface and by a generic graphical web interface. Advanced additional features includes the integration of provenance metadata and persistent identifiers. The MASi service aims at being easily adaptable for arbitrary communities with limited effort. The requirements for the initial use cases within geography, chemistry and digital humanities are elucidated. The MASi research data management service is currently being built up to satisfy these complex and varying requirements in an efficient way.

scholarly journals The MASi repository service — Comprehensive, metadata-driven and multi-community research data management

2019 ◽  
Vol 94 ◽  
pp. 879-894 ◽  
Author(s):  
Richard Grunzke ◽  
Volker Hartmann ◽  
Thomas Jejkal ◽  
Helen Kollai ◽  
Ajinkya Prabhune ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Community Research ◽  
Research Data Management

scholarly journals Building a research data management service for the London school of hygiene & tropical medicine

2015 ◽  
Vol 49 (4) ◽  
pp. 424-439 ◽  
Author(s):  
Gareth Knight
Keyword(s):  
Data Management ◽  
Research Data ◽  
Tropical Medicine ◽  
Limited Resources ◽  
London School ◽  
Management Service ◽  
Content Type ◽  
Research Data Management ◽  
Time Investment

Purpose – The purpose of this paper is to present a case study of work performed at the London School of Hygiene and Tropical Medicine to set-up a Research Data Management Service and tailor it to the needs of health researchers. Design/methodology/approach – The paper describes the motivations for establishing the RDM Service and outlines the three objectives that were set to improve data management practice within the institution. Each of the objectives are explored in turn, stating how they were addressed. Findings – A university with limited resources can operate a RDM Service that pro-actively supports researchers wishing to manage research data by monitoring evolving support needs, identifying common trends and developing resources that will reduce the time investment needed. The institution-wide survey identified a need for guidance on developing data documentation and archiving research data following project completion. Analysis of ongoing support requests identifies a need for guidance on data management plans and complying with journal sharing requirements. Research limitations/implications – The paper provides a case study of a single institution. The results may not be generally applicable to universities that support other disciplines. Practical implications – The case study may be helpful in helping other universities to establish an RDM Service using limited resources. Originality/value – The paper outlines how the evolving data management needs of public health researchers can be identified and a strategy that can be adopted by an RDM Service to efficiently address these requirements.

scholarly journals Expanding the Research Data Management Service Portfolio at Bielefeld University According to the Three-pillar Principle Towards Data FAIRness

2019 ◽  
Vol 18 ◽  
Author(s):  
Jochen Schirrwagen ◽  
Philipp Cimiano ◽  
Vidya Ayer ◽  
Christian Pietsch ◽  
Cord Wiljes ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Service ◽  
Research Data Management ◽  
Service Portfolio

scholarly journals Creating a Research Data Management Service

2013 ◽  
Vol 8 (2) ◽  
pp. 146-156
Author(s):  
Thomas Parsons
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Service ◽  
Research Data Management ◽  
Lessons Learnt ◽  
Requirements Gathering ◽  
The Creation ◽  
The University

This paper provides an overview of the elements required to create a sustainable research data management (RDM) service. The paper summarises key learning and lessons learnt from the University of Nottingham’s project to create an RDM service for researchers. Collective experiences and learning from three key areas are covered, including: data management requirements gathering and validation, RDM training, and the creation of an RDM website.

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