scholarly journals First InvenioRDM Long-Term Support (LTS) version released today ??? and Front Matter is joining as a participating partner

2021 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Data Management ◽  
Open Source ◽  
Research Data ◽  
Management Platform ◽  
Research Data Management ◽  
Data Management Platform

The open source research data management platform InvenioRDM today announced the first Long-Term Support (LTS) release, usable on production services. And I am joining the effort as a participating partner via Front Matter, ...

Global presence of open-source research data management platform for libraries: the Dataverse project

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vineet Jamwal ◽  
Simran Kaur
Keyword(s):  
Data Management ◽  
Open Source ◽  
Local Level ◽  
Research Data ◽  
Content Type ◽  
Management Platform ◽  
Research Data Management ◽  
The World ◽  
Global Presence ◽  
The Usa

Purpose This paper aims to provide statistical information on the worldwide spread of the open-source research data management application, the Dataverse Project, to librarians, data managers and information managers who are considering using the application at their own institution. Design/methodology/approach To produce a list of dataverse repositories, the official Dataverse website was evaluated, and JSON data were downloaded and parsed. Data standardisation was performed to assess the state of installations in various nations and continents across the world. Findings Globally, the Dataverse repositories have seen a rise in overall installations. The year 2020 alone saw a 23.21% rise. In a country-by-country comparison, the USA (13) has the most dataverse installations, while Europe (25) has the highest number of installations worldwide. Originality/value This research will be useful to librarians, data managers and information managers, among others, who want to learn more about Dataverse repositories throughout the world before deploying at their local level.

Involving Data Creators in an Ontology-Based Design Process for Metadata Models

2017 ◽  
pp. 181-214 ◽  
Author(s):  
João Aguiar Castro ◽  
Ricardo Carvalho Amorim ◽  
Rúbia Gattelli ◽  
Yulia Karimova ◽  
João Rocha da Silva ◽  
...  
Keyword(s):  
Data Management ◽  
Data Interpretation ◽  
Research Data ◽  
Data Repositories ◽  
Vehicle Simulation ◽  
Management Platform ◽  
Biological Oceanography ◽  
Research Data Management ◽  
External Data ◽  
Data Management Platform

Research data are the cornerstone of science and their current fast rate of production is disquieting researchers. Adequate research data management strongly depends on accurate metadata records that capture the production context of the datasets, thus enabling data interpretation and reuse. This chapter reports on the authors' experience in the development of the metadata models, formalized as ontologies, for several research domains, involving members from small research teams in the overall process. This process is instantiated with four case studies: vehicle simulation; hydrogen production; biological oceanography and social sciences. The authors also present a data description workflow that includes a research data management platform, named Dendro, where researchers can prepare their datasets for further deposit in external data repositories.

scholarly journals How long can we build it? Ensuring usability of a scientific code base

2021 ◽  
Vol 16 (1) ◽  
pp. 11
Author(s):  
Klaus Rechert ◽  
Jurek Oberhauser ◽  
Rafael Gieschke
Keyword(s):  
Data Management ◽  
Source Code ◽  
Research Data ◽  
Scientific Contribution ◽  
Scientific Publications ◽  
Research Data Management ◽  
Code Base

Software and in particular source code became an important component of scientific publications and henceforth is now subject of research data management.  Maintaining source code such that it remains a usable and a valuable scientific contribution is and remains a huge task. Not all code contributions can be actively maintained forever. Eventually, there will be a significant backlog of legacy source-code. In this article we analyse the requirements for applying the concept of long-term reusability to source code. We use simple case study to identify gaps and provide a technical infrastructure based on emulator to support automated builds of historic software in form of source code.  

scholarly journals eLabFTW as an Open Science tool to improve the quality and translation of preclinical research

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 292
Author(s):  
Michael Hewera ◽  
Daniel Hänggi ◽  
Björn Gerlach ◽  
Ulf Dietrich Kahlert
Keyword(s):  
Data Management ◽  
Open Source ◽  
Academic Research ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Preclinical Research ◽  
Research Data Management ◽  
New Methods ◽  
Set Up

Reports of non-replicable research demand new methods of research data management. Electronic laboratory notebooks (ELNs) are suggested as tools to improve the documentation of research data and make them universally accessible. In a self-guided approach, we introduced the open-source ELN eLabFTW into our lab group and, after using it for a while, think it is a useful tool to overcome hurdles in ELN introduction by providing a combination of properties making it suitable for small preclinical labs, like ours. We set up our instance of eLabFTW, without any further programming needed. Our efforts to embrace open data approach by introducing an ELN fits well with other institutional organized ELN initiatives in academic research.

Building Research Data Management Infrastructure using Open Source Software

2013 ◽  
Vol 18 (4) ◽  
pp. 496-509 ◽  
Author(s):  
Christian Willmes ◽  
Daniel Kürner ◽  
Georg Bareth
Keyword(s):  
Data Management ◽  
Open Source ◽  
Open Source Software ◽  
Research Data ◽  
Building Research ◽  
Research Data Management

scholarly journals Perception of Researchers & Academicians of Parul University towards Research Data Management System & Role of Library

2020 ◽  
Vol 40 (03) ◽  
pp. 139-146 ◽  
Author(s):  
Anjana R Bunkar ◽  
Dhaval D. Bhatt
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Developed Countries ◽  
Research Data ◽  
Data Management System ◽  
The Public ◽  
Research Data Management ◽  
Initial Stage

Research data management is a system that helps in archiving and retrieving of research data to reuse and preserving them for long term use. Many universities in developed countries have already started providing RDM services to their researchers and academicians. In India, it is still in the initial stage. The purpose of the present study is to investigate the perceptions of researchers and academicians of Parul University on research data management and research data sharing. It also explores the ways the researchers preserved their research data for future use. It also explores the ways the library can take initiatives to encourage and extend support to the researchers and academicians to the organisation, preservation, and sharing of research data. To investigate and study the problem 100 questionnaires were distributed. There are 88 responses we received out of 100. The study revealed that the majority of respondents were agreeing about the research data sharing and free accessibility of research data to browse and reuse. Researchers are very much interested and agreed in the library’s involvement in organizing and preservation of research data. Researchers and faculty members are more concerned about their intellectual property rights while sharing the data on the public domain.

The Minimum Mandatory Metadata Sets for the KIM Project and RAIDmap

2017 ◽  
pp. 37-64
Author(s):  
Alexander Ball ◽  
Mansur Darlington ◽  
Christopher McMahon
Keyword(s):  
Data Management ◽  
Information Management ◽  
Mechanical Engineering ◽  
Research Data ◽  
Minimal Set ◽  
Life Project ◽  
Research Data Management ◽  
Metadata Record

A Minimum Mandatory Metadata Set (M3S) was devised for the KIM (Knowledge and Information Management Through Life) Project to address two challenges. The first was to ensure the project's documents were sufficiently self-documented to allow them to be preserved in the long term. The second was to trial the M3S and supporting templates and tools as a possible approach that might be used by the aerospace, defence and construction industries. A different M3S was devised along similar principles by a later project called REDm-MED (Research Data Management for Mechanical Engineering Departments). The aim this time was to help specify a tool for documenting research data records and the associations between them, in support of both preservation and discovery. In both cases the emphasis was on collecting a minimal set of metadata at the time of object creation, on the understanding that later processes would be able to expand the set into a full metadata record.

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