scholarly journals Research Data Management Initiatives at University of Edinburgh

2011 ◽  
Vol 6 (2) ◽  
pp. 232-244 ◽  
Author(s):  
Robin Rice ◽  
Jeff Haywood
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Academic Staff ◽  
Research Data ◽  
Lessons Learned ◽  
The Public ◽  
Research Data Management ◽  
Online Tools ◽  
University Of Edinburgh ◽  
Future Direction

During the last decade, national and international attention has been increasingly focused on issues of research data management and access to publicly funded research data. The pressure brought to bear on researchers to improve their data management and data sharing practice has come from research funders seeking to add value to expensive research and solve cross-disciplinary grand challenges; publishers seeking to be responsive to calls for transparency and reproducibility of the scientific record; and the public seeking to gain and re-use knowledge for their own purposes using new online tools. Meanwhile higher education institutions have been rather reluctant to assert their role in either incentivising or supporting their academic staff in meeting these more demanding requirements for research practice, partly due to lack of knowledge as to how to provide suitable assistance or facilities for data storage and curation/preservation. This paper discusses the activities and drivers behind one institution’s recent attempts to address this gap, with reflection on lessons learned and future direction.

scholarly journals Gathering Evidence of Benefits: A Structured Approach from the Jisc Managing Research Data Programme

2013 ◽  
Vol 8 (2) ◽  
pp. 123-133
Author(s):  
Laura Molloy ◽  
Simon Hodson ◽  
Meik Poschen ◽  
Jonathan Tedds
Keyword(s):  
Higher Education ◽  
Data Management ◽  
Research Funding ◽  
Research Data ◽  
Lessons Learned ◽  
Education Sector ◽  
Research Data Management ◽  
The Uk ◽  
Uk Higher Education ◽  
Structured Approach

The work of the Jisc Managing Research Data programme is – along with the rest of the UK higher education sector – taking place in an environment of increasing pressure on research funding. In order to justify the investment made by Jisc in this activity – and to help make the case more widely for the value of investing time and money in research data management – individual projects and the programme as a whole must be able to clearly express the resultant benefits to the host institutions and to the broader sector. This paper describes a structured approach to the measurement and description of benefits provided by the work of these projects for the benefit of funders, institutions and researchers. We outline the context of the programme and its work; discuss the drivers and challenges of gathering evidence of benefits; specify benefits as distinct from aims and outputs; present emerging findings and the types of metrics and other evidence which projects have provided; explain the value of gathering evidence in a structured way to demonstrate benefits generated by work in this field; and share lessons learned from progress to date.

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.

scholarly journals Incorporating Software Curation into Research Data Management Services: Lessons Learned

2018 ◽  
Vol 13 (1) ◽  
pp. 235-247
Author(s):  
Fernando Rios
Keyword(s):  
Data Management ◽  
Research University ◽  
Service Level ◽  
Research Data ◽  
Lessons Learned ◽  
Related Services ◽  
Management Planning ◽  
Research Data Management ◽  
Management Context ◽  
Large Research

Many large research universities provide research data management (RDM) support services for researchers. These may include support for data management planning, best practices (e.g., organization, support, and storage), archiving, sharing, and publication. However, these data-focused services may under-emphasize the importance of the software that is created to analyse said data. This is problematic for several reasons. First, because software is an integral part of research across all disciplines, it undermines the ability of said research to be understood, verified, and reused by others (and perhaps even the researcher themselves). Second, it may result in less visibility and credit for those involved in creating the software. A third reason is related to stewardship: if there is no clear process for how, when, and where the software associated with research can be accessed and who will be responsible for maintaining such access, important details of the research may be lost over time. This article presents the process by which the RDM services unit of a large research university addressed the lack of emphasis on software and source code in their existing service offerings. The greatest challenges were related to the need to incorporate software into existing data-oriented service workflows while minimizing additional resources required, and the nascent state of software curation and archiving in a data management context. The problem was addressed from four directions: building an understanding of software curation and preservation from various viewpoints (e.g., video games, software engineering), building a conceptual model of software preservation to guide service decisions, implementing software-related services, and documenting and evaluating the work to build expertise and establish a standard service level.

scholarly journals Delivering Innovative RDM Training: The immersiveInformatics Pilot Programme

2014 ◽  
Vol 9 (1) ◽  
pp. 313-323 ◽  
Author(s):  
Anna Shadbolt ◽  
Leo Konstantelos ◽  
Liz Lyon ◽  
Marieke Guy
Keyword(s):  
Data Management ◽  
Training Programme ◽  
Professional Staff ◽  
Research Data ◽  
Lessons Learned ◽  
Single Institution ◽  
Pilot Programme ◽  
Research Data Management ◽  
Capability Building ◽  
The University

This paper presents the findings, lessons learned and next steps associated with the implementation of the immersiveInformatics pilot: a distinctive research data management (RDM) training programme designed in collaboration between UKOLN Informatics and the Library at the University of Melbourne, Australia. The pilot aimed to equip a broad range of academic and professional staff roles with RDM skills as a key element of capacity and capability building within a single institution.

Research Data Sharing and Reuse Through Open Data

2021 ◽  
pp. 284-306
Author(s):  
Abel Christopher M'kulama ◽  
Akakandelwa Akakandelwa
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Data Storage ◽  
Mixed Methods Research ◽  
Open Data ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Inadequate Knowledge ◽  
Self Administered Questionnaire

Research data management is considered a critical step in the research process among researchers. Researchers are required to submit RDM plans with details about data storage, data sharing, and reuse procedures when submitting research proposals for grants. This chapter presents findings of an investigation into the perceptions and practices of ZARI researchers towards research data management. Mixed methods research using a self-administered questionnaire was adopted for data collection. Fifty-one researchers were sampled and recruited for participation into the study. The study established that the majority of the researchers were not depositing their research data in central repositories; data was kept on individual's devices and was therefore not readily available for sharing. The major challenges being faced by researchers included lack of a policy, lack of a repository, and inadequate knowledge in RDM. The study concludes that research data at ZARI was not being professionally managed. The study recommends for formulation of policies, establishment of repository and staff training.

Pengelolaan Data Penelitian pada Repositori Pengetahuan di Perpustakaan Khusus Lembaga Pemerintah Non Kementerian

2020 ◽  
Vol 27 (3) ◽  
pp. 195-211
Author(s):  
Tupan Tupan ◽  
Mohamad Djaenudin
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Government Regulation ◽  
Research Work ◽  
Research Data ◽  
Knowledge Repository ◽  
Research Technology ◽  
Research Data Management ◽  
Knowledge Repositories ◽  
Special Library

This study focuses on the analysis of research data management in the knowledge repository in a special library of non-ministerial government institutions consisting of LIPI, BPPT, BATAN, BAPETEN, LAPAN and BSN.The research was conducted using descriptive methods, namely by describing and interpreting a phenomenon that develops by using scientific procedures to actually answer the problem. Data collection was carried out through interviews and surveys of repository managers. The results showed that the LPNK Special Library of the Ministry of Research, Technology and Higher Education had mostly collected research data stored in the knowledge repository by means of direct input in the national scientific repository (RIN). Developing a knowledge repository in a special library is done because of the need to store data and research work in one place. The knowledge repository serves as a digital storage provider for long-term data storage and scientific work. The knowledge repository can make it easier for users to browse or reference data and the work of other researchers. The availability of knowledge repositories can also facilitate interdisciplinary learning and research. The obstacle in managing research data is that researchers have so far not paid enough attention, especially in terms of research data backup. There is a lack of trust from data owners to share their data because there is no legality, infrastructure and clear management. Libraries do not require researchers to store data in knowledge repositories and there is no government regulation that regulates inter-institutional research data management.

scholarly journals Implementing the Research Data Management Policy: University of Edinburgh Roadmap

2013 ◽  
Vol 8 (2) ◽  
pp. 194-204 ◽  
Author(s):  
Robin Rice ◽  
Çuna Ekmekcioglu ◽  
Jeff Haywood ◽  
Sarah Jones ◽  
Stuart Lewis ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Policy ◽  
Data Repository ◽  
Research Data Management ◽  
Steering Group ◽  
Pilot Work ◽  
International Setting ◽  
University Of Edinburgh ◽  
The University

This paper discusses work to implement the University of Edinburgh Research Data Management (RDM) policy by developing the services needed to support researchers and fulfil obligations within a changing national and international setting. This is framed by an evolving Research Data Management Roadmap and includes a governance model that ensures cooperation amongst Information Services (IS) managers and oversight by an academic-led steering group. IS has taken requirements from research groups and IT professionals, and at the request of the steering group has conducted pilot work involving volunteer research units within the three colleges to develop functionality and presentation for the key services. The first pilots cover three key services: the data store, a customisation of the Digital Curation Centre’s DMPonline tool, and the data repository. The paper will report on the plans, achievements and challenges encountered while we attempt to bring the University of Edinburgh RDM Roadmap to fruition.

How to Extend your Data Lifetime: Research Data Management in Indonesia’s Contexts

2018 ◽  
Author(s):  
Dasapta Erwin Irawan ◽  
Santirianingrum Soebandhi ◽  
Fierly Hayati ◽  
Cahyo Darujati ◽  
Deffy Ayu Puspito Sari
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Intellectual Property Rights ◽  
Research Data ◽  
The Other ◽  
Know How ◽  
Research Data Management ◽  
The World ◽  
Data Ownership ◽  
Data Lifetime

Data is the basis of research. On the other side, the world has a problem of replication. The first problem is we don’t really know how to manage our own data to able to reanalyze it at some point after the research has been finished. The lifetime of data is very short, in only one or two fiscal years. In this article we will describe on how to write a research data management in order to extend the lifetime of data. There are seven basic components to remember before writing a proper research data management: (1) Data storage and software, (2) Metadata, (3) Structure, (4) Persistent link, (5) Licensing, (6) Data maintainer, (7) Indexing. In several fields, including medicine, an anomyzation strategy will be needed. We also need to put into account the Intellectual Property Rights and data ownership in to the equation, as Indonesian scientists are not properly exposed to those subjects.

Sign in / Sign up

Export Citation Format

Share Document