scholarly journals Access to Data for eResearch: Designing the Australian National Data Service Discovery Services

2008 ◽  
Vol 3 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Andrew Treloar ◽  
Ross Wilkinson
Keyword(s):  
Service Discovery ◽  
Information Needs ◽  
Research Data ◽  
Data Service ◽  
National Data ◽  
Data Repositories ◽  
Research Publications ◽  
Document Repositories ◽  
Access To Data

Much work on data repositories has derived from effort on document repositories. It is our contention that people do not access research data for the same reasons that they access research publications. We argue that it is valuable to understand information needs, both immediate and contextual, in establishing both what information should be collected, what metadata are captured, and what discovery services should be established. We report on the information needs that we have collected in our efforts in establishing the Australian National Data Service. These needs cover much more than data – there are needs for information about the data, their creators, a need for overviews, and further requirements to do with proof, collaboration, and innovation. We provide an analysis of those needs, and a set of conclusions that has led to some implementation decisions for ANDS.

scholarly journals Tieteelliset lehdet ja tutkimusdata

2017 ◽  
Vol 36 (1) ◽  
Author(s):  
Johanna Lilja
Keyword(s):  
Research Data ◽  
Data Service ◽  
National Data ◽  
Scholarly Journals ◽  
Data Repositories ◽  
Data Archiving ◽  
Data Archives ◽  
Learned Societies ◽  
International Data ◽  
Require Data

This report summarises the papers and discussions presented at the Scholarly Journals and Research Data Seminar organised by the Federation of Finnish Learned Societies and the Finnish Association for Scholarly Publishing in February 2017. Stricter policies on storing research data in repositories and opening it are now being implemented. In fact, 27 per cent of research funders now require data archiving, including the Academy of Finland. The seminar brought together funders, researchers and representatives from journals and data archives to discuss how archiving and opening data should be carried out and the role played by journals. The questions asked included: Should journals require their authors to link their text to research data or should they only encourage such action? Should journals guide their authors to use central national or international data archives or should they establish their own separate data repositories, for example in connection with the Finnish national data service IDA?

scholarly journals Adding Value by Taking a National and Institutional Approach to Research Data: The ANDS Experience

2013 ◽  
Vol 8 (2) ◽  
pp. 89-98 ◽  
Author(s):  
David Groenewegen ◽  
Andrew Treloar
Keyword(s):  
Case Studies ◽  
Research Data ◽  
Data Service ◽  
National Data ◽  
Institutional Approach ◽  
Current State ◽  
Research Sector ◽  
Data Environment

The Australian National Data Service (ANDS) has been working to add value to Australia’s research data environment since 2009. This paper looks at the changes that have occurred over this time, ANDS’ role in those changes and the current state of the Australian research sector at this time, using case studies of selected institutions.

scholarly journals Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

2020 ◽  
Vol 2 (1-2) ◽  
pp. 151-157 ◽  
Author(s):  
Peter McQuilton ◽  
Dominique Batista ◽  
Oya Beyan ◽  
Ramon Granell ◽  
Simon Coles ◽  
...  
Keyword(s):  
Data Sharing ◽  
Knowledge Bases ◽  
Research Data ◽  
Fair Share ◽  
Data Repositories ◽  
Meta Data ◽  
Research Publications

Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases, across all disciplines. These resources are necessary to meet government, funder and publisher expectations of greater transparency and access to and preservation of data related to research publications. This obligates researchers to ensure their data is FAIR, share their data using the appropriate standards, store their data in sustainable and community-adopted repositories, and to conform to funder and publisher data policies. FAIR data sharing also plays a key role in enabling researchers to evaluate, re-analyse and reproduce each other's work. We can map the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. In this paper, we show how the work of the GO-FAIR FAIR Standards, Repositories and Policies (StRePo) Implementation Network serves as a central integration and cross-fertilisation point for the reuse of FAIR standards, repositories and data policies in general. Pivotal to this effort, the FAIRsharing, an endorsed flagship resource of the Research Data Alliance that maps the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. Lastly, we highlight a number of activities around FAIR tools, services and educational efforts to raise awareness and encourage participation.

scholarly journals Factors Influencing Research Data Reuse in the Social Sciences: An Exploratory Study

2016 ◽  
Vol 11 (1) ◽  
pp. 96-117 ◽  
Author(s):  
Renata Gonçalves Curty
Keyword(s):  
Open Science ◽  
Research Data ◽  
Influential Factors ◽  
Data Reuse ◽  
Theory And Practice ◽  
Science Data ◽  
Data Repositories ◽  
Perceived Effort ◽  
Facilitating Conditions ◽  
Access To Data

The development of e-Research infrastructure has enabled data to be shared and accessed more openly. Policy mandates for data sharing have contributed to the increasing availability of research data through data repositories, which create favourable conditions for the re-use of data for purposes not always anticipated by original collectors. Despite the current efforts to promote transparency and reproducibility in science, data re-use cannot be assumed, nor merely considered a ‘thrifting’ activity where scientists shop around in data repositories considering only the ease of access to data. The lack of an integrated view of individual, social and technological influential factors to intentional and actual data re-use behaviour was the key motivator for this study. Interviews with 13 social scientists produced 25 factors that were found to influence their perceptions and experiences, including both their unsuccessful and successful attempts to re-use data. These factors were grouped into six theoretical variables: perceived benefits, perceived risks, perceived effort, social influence, facilitating conditions, and perceived re-usability. These research findings provide an in-depth understanding about the re-use of research data in the context of open science, which can be valuable in terms of theory and practice to help leverage data re-use and make publicly available data more actionable. 

Improvements for research data repositories: The case of text spam

2021 ◽  
pp. 016555152199863
Author(s):  
Ismael Vázquez ◽  
María Novo-Lourés ◽  
Reyes Pavón ◽  
Rosalía Laza ◽  
José Ramón Méndez ◽  
...  
Keyword(s):  
Web Application ◽  
Research Data ◽  
Data Sets ◽  
Data Repositories ◽  
Software Applications ◽  
Public Data ◽  
Protection Mechanisms ◽  
Experimental Protocols ◽  
Learning Research ◽  
Processing Steps

Current research has evolved in such a way scientists must not only adequately describe the algorithms they introduce and the results of their application, but also ensure the possibility of reproducing the results and comparing them with those obtained through other approximations. In this context, public data sets (sometimes shared through repositories) are one of the most important elements for the development of experimental protocols and test benches. This study has analysed a significant number of CS/ML ( Computer Science/ Machine Learning) research data repositories and data sets and detected some limitations that hamper their utility. Particularly, we identify and discuss the following demanding functionalities for repositories: (1) building customised data sets for specific research tasks, (2) facilitating the comparison of different techniques using dissimilar pre-processing methods, (3) ensuring the availability of software applications to reproduce the pre-processing steps without using the repository functionalities and (4) providing protection mechanisms for licencing issues and user rights. To show the introduced functionality, we created STRep (Spam Text Repository) web application which implements our recommendations adapted to the field of spam text repositories. In addition, we launched an instance of STRep in the URL https://rdata.4spam.group to facilitate understanding of this study.

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

scholarly journals Pemahaman Lembaga Penyiaran Radio di Provinsi Sumatera Barat dalam Pemenuhan Kebutuhan Informasi Khalayak

2019 ◽  
pp. 1-10
Author(s):  
Ardian Ardian
Keyword(s):  
Social Learning ◽  
Mass Communication ◽  
Information Needs ◽  
Information Dissemination ◽  
Social Information ◽  
Research Data ◽  
Case Study Approach ◽  
Study Approach ◽  
Radio Broadcasting

This article describes about the analysis of  the understanding of institutions of broadcasting radios in west sumatera to fulfill the need of social information. This research is based from the phenomenon in the field showing the decrease of social interest in listening to a radio closed by the modernization of mass communication.  To reveal the reality in the field, this research used constructive paradigm, qualitative methods and case study approach. The research data was collected by interviewing 5 key informen and documentation study. Based on the result of analysis in the field in completing the need of social information, the researcher concluded as followed: (1) Radios in West Sumatera comprehend the 3 functions of communication in fulfilling social information needs: (a) information, (b) social learning, and (c) entertainment. That was seen from the constructions of the broadcasting programs produced; (2) In the effort of fulfilling the need of information, radios conduct surveys, observations and researches of the market that need information; and (3) Radio broadcasting board of West Sumatera comprehends that in information dissemination KPID of West Sumatera is the regulator taking roll in supervising the broadcasting programs and any kinds of violations than by the radios. 

scholarly journals Connecting Data Publication to the Research Workflow: A Preliminary Analysis

2017 ◽  
Vol 12 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Sünje Dallmeier-Tiessen ◽  
Varsha Khodiyar ◽  
Fiona Murphy ◽  
Amy Nurnberger ◽  
Lisa Raymond ◽  
...  
Keyword(s):  
Working Group ◽  
Research Data ◽  
Data Publishing ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Data Publication ◽  
Loosely Coupled ◽  
Definition Of ◽  
Data Documentation

The data curation community has long encouraged researchers to document collected research data during active stages of the research workflow, to provide robust metadata earlier, and support research data publication and preservation. Data documentation with robust metadata is one of a number of steps in effective data publication. Data publication is the process of making digital research objects ‘FAIR’, i.e. findable, accessible, interoperable, and reusable; attributes increasingly expected by research communities, funders and society. Research data publishing workflows are the means to that end. Currently, however, much published research data remains inconsistently and inadequately documented by researchers. Documentation of data closer in time to data collection would help mitigate the high cost that repositories associate with the ingest process. More effective data publication and sharing should in principle result from early interactions between researchers and their selected data repository. This paper describes a short study undertaken by members of the Research Data Alliance (RDA) and World Data System (WDS) working group on Publishing Data Workflows. We present a collection of recent examples of data publication workflows that connect data repositories and publishing platforms with research activity ‘upstream’ of the ingest process. We re-articulate previous recommendations of the working group, to account for the varied upstream service components and platforms that support the flow of contextual and provenance information downstream. These workflows should be open and loosely coupled to support interoperability, including with preservation and publication environments. Our recommendations aim to stimulate further work on researchers’ views of data publishing and the extent to which available services and infrastructure facilitate the publication of FAIR data. We also aim to stimulate further dialogue about, and definition of, the roles and responsibilities of research data services and platform providers for the ‘FAIRness’ of research data publication workflows themselves.

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