scholarly journals Research Data Publishing at UiT The Arctic University of Norway

2020 ◽  
Author(s):  
Philipp Conzett
Keyword(s):  
Early Stage ◽  
Research Data ◽  
Small Study ◽  
The Arctic ◽  
Data Publishing ◽  
Working Paper ◽  
Ongoing Project

This is an early-stage working paper where I share ideas, thoughts, and results from an ongoing project about research data publishing at UiT The Arctic University of Norway. In this initial draft, I’m sharing the results from a small study of how common data publishing is among researchers affiliated with UiT The Arctic University of Norway.

scholarly journals Open Polar: a discovery service covering the global output of openly accessible polar research data and publications

2020 ◽  
Author(s):  
Tamer S. Abu-Alam ◽  
Per Pippin Aspaas ◽  
Leif Longva Longva ◽  
Karl Magnus Nilsen ◽  
Obiajulu Odu
Keyword(s):  
End Users ◽  
Research Data ◽  
The Arctic ◽  
Data Sets ◽  
Polar Regions ◽  
The Public ◽  
Discovery Service ◽  
Scholarly Data ◽  
Ongoing Project ◽  
Existing Data

Data from the Polar Regions are of critical importance to modern polar research. Regardless of their disciplinary and institutional affiliations, researchers rely heavily on the comparison of existing data with new data sets to assess changes that are taking effect. However, in a recent survey of 113 major polar data providers, we found that an estimated 60% of the existing polar research data is unfindable through common search engines and can only be accessed through institutional webpages. Moreover, a study by Johnson et al. (2019) showed that in social science and indigenous knowledge, the findability gap is around 84%. This results in an awareness of the need of the scientific community to harvest different metadata related to the Polar Regions and collect these in a homogenous, seamless database and making this database available to researchers, students and the public through one search platform.This contribution describes the progress in an ongoing project, Open Polar (https://site.uit.no/open-polar/) started in 2019 at UiT The Arctic University of Norway. The project aims to collect metadata about all the open-access scholarly data and documents related to the Polar Regions in a homogenous and seamless database. The suggested service will include three parts: 1) harvesting metadata; 2) enriching and filtrating of the harvested metadata relevant to Polar Regions; and 3) making the collected records available and searchable to the end-users through an interactive user interface. The service will help to make the polar related research data and documents more visible and searchable to the end-users and thereby reducing the findability gap.

scholarly journals Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece

Publications ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Eirini Delikoura ◽  
Dimitrios Kouis
Keyword(s):  
Peer Review ◽  
Evaluation System ◽  
Early Stage ◽  
Open Science ◽  
Health Sciences ◽  
Research Data ◽  
Stage Of Development ◽  
Open Research ◽  
Proper Training ◽  
To Receive

Recently significant initiatives have been launched for the dissemination of Open Access as part of the Open Science movement. Nevertheless, two other major pillars of Open Science such as Open Research Data (ORD) and Open Peer Review (OPR) are still in an early stage of development among the communities of researchers and stakeholders. The present study sought to unveil the perceptions of a medical and health sciences community about these issues. Through the investigation of researchers` attitudes, valuable conclusions can be drawn, especially in the field of medicine and health sciences, where an explosive growth of scientific publishing exists. A quantitative survey was conducted based on a structured questionnaire, with 179 valid responses. The participants in the survey agreed with the Open Peer Review principles. However, they ignored basic terms like FAIR (Findable, Accessible, Interoperable, and Reusable) and appeared incentivized to permit the exploitation of their data. Regarding Open Peer Review (OPR), participants expressed their agreement, implying their support for a trustworthy evaluation system. Conclusively, researchers need to receive proper training for both Open Research Data principles and Open Peer Review processes which combined with a reformed evaluation system will enable them to take full advantage of the opportunities that arise from the new scholarly publishing and communication landscape.

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.

Open Polar: a new freely search service of publications and research data of Polar Regions

2021 ◽  
Author(s):  
Tamer Abu-Alam ◽  
Karl Magnus Nilsen ◽  
Obiajulu Odu ◽  
Leif Longva ◽  
Per Pippin Aspaas
Keyword(s):  
Scientific Community ◽  
Environmental Changes ◽  
Research Data ◽  
The Arctic ◽  
Polar Regions ◽  
Search Service ◽  
Norwegian Polar Institute ◽  
Under Construction ◽  
Access To Data ◽  
Beta Version

<p>Research data plays a key role in monitoring and predicting any natural phenomena, including changes in the Polar Regions. The limited access to data restricts the ability of researchers to monitor, predict and model environmental changes and their socio-economic repercussions. In a recent survey of 113 major polar research institutions, we found out that an estimated 60% of the existing polar research data is unfindable through common search engines and can only be accessed through institutional webpages. In social science and indigenous knowledge, this findability gap is even higher, approximately 84% of the total existing data. This raises an awareness sign and the call for the need of the scientific community to collect information on the global output of research data and publications related to the Polar Regions and present it in a homogenous, seamless database.</p><p>In this contribution, we present a new, open access discovery service, Open Polar, with the purpose of rendering polar research more visible and retrievable to the research community as well as to the interested public, teachers, students and decision-makers. The new service is currently under construction and will be hosted by UiT The Arctic University of Norway in close collaboration with the Norwegian Polar Institute and other international partners. The beta version of the Open Polar was made available in February 2021. We welcome comments and suggestions from the scientific community to the beta version, while we plan to launch the stable production version of the service by summer 2021. The beta version of the service can already be tested at the URL: www.openpolar.no</p>

A Bayesian Approach to Project Control

2016 ◽  
pp. 832-844
Author(s):  
Franco Caron
Keyword(s):  
Bayesian Approach ◽  
Early Stage ◽  
Effective Control ◽  
Reliable Estimate ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Project Data ◽  
Ongoing Project ◽  
The Bayesian Approach

The capability to elaborate a reliable estimate at completion for a project since the early stage of project execution is the prerequisite in order to provide an effective control of the project. The non-repetitive and uncertain nature of projects and the involvement of multiple stakeholders raise the need to exploit all the available knowledge sources in order to provide a reliable forecast. Therefore, drawing on a set of case studies, this paper proposes a Bayesian approach to support the elaboration of the estimate at completion in those industrial fields where projects are denoted by uncertainty and complexity. The Bayesian approach allows to integrate experts' opinions, data records from past projects and data related to the current performance of the ongoing project. Data from past projects are selected through a similarity analysis. The proposed approach shows a higher accuracy in comparison with the basic formulas typical of the Earned Value Management (EVM) methodology.

scholarly journals The data-literature interlinking service

2017 ◽  
Vol 51 (1) ◽  
pp. 75-100 ◽  
Author(s):  
Adrian Burton ◽  
Hylke Koers ◽  
Paolo Manghi ◽  
Sandro La Bruzzo ◽  
Amir Aryani ◽  
...  
Keyword(s):  
Data Model ◽  
Data Centers ◽  
Ad Hoc ◽  
Research Data ◽  
Data Publishing ◽  
Network Graph ◽  
Data Set ◽  
Content Type ◽  
Data Services ◽  
Scientific Results

Purpose Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The Research Data Alliance (RDA) Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. The paper aims to discuss these issues. Design/methodology/approach This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure toward enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking (DLI) Service. The DLI Service populates and provides access to a graph of data set-literature links (at the time of writing close to five million, and growing) collected from a variety of major data centers, publishers, and research organizations. Findings To achieve its objectives, the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting, and sharing data set-literature links. Originality/value This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of data set-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix, has been initiated involving the technological level stakeholders such as DataCite and CrossRef.

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