scholarly journals Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy

2021 ◽  
Vol 42 (1) ◽  
Author(s):  
Kevin Read ◽  
Alanna Campbell ◽  
Vanessa Kitchin ◽  
Heather MacDonald ◽  
Sandra McKeown
Keyword(s):  
Data Sharing ◽  
Health Sciences ◽  
Research Data ◽  
Research Grants ◽  
Related Research ◽  
Data Services ◽  
Canadian Health ◽  
The Right ◽  
Positive Step ◽  
Worthwhile Investment

As health sciences researchers have been asked to share their data more frequently due to funder policies, journal requirements, or interest from their peers, health sciences librarians (HSLs) have simultaneously begun to provide support to researchers in this space through training, participating in RDM efforts on research grants, and developing comprehensive data services programs. If supporting researchers' data sharing efforts is a worthwhile investment for HSLs, it is crucial that we practice data sharing in our own research endeavours. sharing data is a positive step in the right direction, as it can increase the transparency, reliability, and reusability of HSL-related research outputs. Furthermore, having the ability to identify and connect with researchers in relation to the challenges associated with data sharing can help HSLs empathize with their communities and gain new perspectives on improving support in this area. To that end, the Journal of the Canadian Health Libraries Association / Journal de l’Association des bibliothèques de la santé du Canada (JCHLA / JABSC) has developed a Data Sharing Policy to improve the transparency and reusability of research data underlying the results of its publications. This paper will describe the approach taken to inform and develop this policy. 

scholarly journals Practicing what we preach: developing a data sharing policy for the Journal of the Medical Library Association

2018 ◽  
Vol 106 (2) ◽  
Author(s):  
Kevin B. Read ◽  
Liz Amos ◽  
Lisa M. Federer ◽  
Ayaba Logan ◽  
T. Scott Plutchak ◽  
...  
Keyword(s):  
Data Sharing ◽  
Working Group ◽  
Health Sciences ◽  
Research Data ◽  
Research Results ◽  
Medical Library ◽  
Information Professionals ◽  
Published Research

Providing access to the data underlying research results in published literature allows others to reproduce those results or analyze the data in new ways. Health sciences librarians and information professionals have long been advocates of data sharing. It is time for us to practice what we preach and share the data associated with our published research. This editorial describes the activity of a working group charged with developing a research data sharing policy for the Journal of the Medical Library Association.

User needs assessment for research data services in a research university

2019 ◽  
Vol 52 (3) ◽  
pp. 633-646 ◽  
Author(s):  
Soohyung Joo ◽  
Christie Peters
Keyword(s):  
Data Sharing ◽  
Research University ◽  
Research Data ◽  
User Needs ◽  
Data Services ◽  
Data Formats ◽  
Metadata Standards ◽  
Data Documentation ◽  
And Storage ◽  
Sharing Behavior

This study assesses the needs of researchers for data-related assistance and investigates their research data management behavior. A survey was conducted, and 186 valid responses were collected from faculty, researchers, and graduate students across different disciplines at a research university. The services for which researchers perceive the greatest need include assistance with quantitative analysis and data visualization. Overall, the need for data-related assistance is relatively higher among health scientists, while humanities researchers demonstrate the lowest need. This study also investigated the data formats used, data documentation and storage practices, and data-sharing behavior of researchers. We found that researchers rarely use metadata standards, but rely more on a standard file-naming scheme. As to data sharing, respondents are likely to share their data personally upon request or as supplementary materials to journal publications. The findings of this study will be useful for planning user-centered research data services in academic libraries.

Long-tail data curation in the times of the FAIR Principles and Enabling FAIR Data – challenges and best practices from GFZ Data Services

2020 ◽  
Author(s):  
Damian Ulbricht ◽  
Kirsten Elger ◽  
Boris Radosavljevic ◽  
Florian Ott
Keyword(s):  
Research Output ◽  
Research Data ◽  
Research Centre ◽  
The Internet ◽  
Monitoring Networks ◽  
Long Tail ◽  
Related Research ◽  
Data Services ◽  
Fair Principles ◽  
Machine Readable

<p>Following the FAIR principles, research data should be Findable, Accessible, Interoperable and Reuseable. Publishing research output under these principles requires to generate machine-readable metadata and to use persistent identifiers for cross-linking with descriptive articles, related software for processing or physical samples that were used to derive the data. In addition, research data should be indexed with domain keywords to facilitate discovery. Software solutions are required that help scientists in generating metadata, since metadata models tend to be complex and the serialisation into a format for metadata dissemination is a difficult task, especially in the long-tail communities.</p><p>GFZ Data Services is a domain repository for geosciences data, hosted at GFZ German Research Centre for Geosciences, that assigns DOIs to data and scientific software since 2004. The repository has a focus on the curation of long-tail data but also provides DOI minting services for several global monitoring networks/observatories in geodesy and geophysics (e.g. INTERMAGNET, IAG Services ICGEM and IGETS, GEOFON) and collaborative projects (e.g. TERENO, EnMAP, GRACE, CHAMP). Furthermore, GFZ is allocating agent for IGSN, a globally unique persistent identifier for physical samples with discovery functionality of digital sample descriptions via the internet. GFZ Data Services will also contribute to the National Research Data Infrastructure Consortium for Earth System Sciences (NFDI4Earth) in Germany.</p><p>GFZ Data Services increases the interoperability of long-tail data by (1) the provision of comprehensive domain-specific data description via standardised and machine-readable metadata complemented with controlled “linked-data” domain vocabularies; (2) complementing the metadata with technical data descriptions or reports; and (3) embedding the research data in wider context by providing cross-references through Persistent Identifiers (DOI, IGSN, ORCID, Fundref) to related research products and people or institutions involved.</p><p>A key tool for metadata generation is the GFZ Metadata Editor that assists scientists to create metadata in different metadata schemas that are popular in the Earth sciences (ISO19115, NASA GCMD DIF, DataCite). Emphasis is placed on removing barriers, in particular the editor is publicly available on the internet without registration, a copy of the metadata can be saved to and loaded from the local hard disk and scientists are not requested to provide information that may be generated automatically. To improve usability, form fields are translated into the scientific language and we offer a facility to search structured vocabulary lists. In addition, multiple geospatial references can be entered via an interactive mapping tool, which helps to minimize problems with different conventions to provide latitudes and longitudes.</p><p>Visiblity of the data is established through registration of the metadata at DataCite and the dissemination of metadata in standard protocols. The DOI Landing Pages embed metadata in Schema.org to facilitate discovery through internet search engines like the Google Dataset Search. In addition, we feed links of data and related research products into Scholix, which allows to link data publications and scholarly literature, even when the data are published years after the article.</p>

scholarly journals National Research Infrastructure - Funder or Partner?

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Angeletta Leggio
Keyword(s):  
Business Plan ◽  
Research Data ◽  
National Data ◽  
Data Services ◽  
Funding Programs ◽  
Infrastructure Project ◽  
Initiation Stage ◽  
The Right ◽  
Institutional Engagement ◽  
National Infrastructure

Since 2009 the Australian National Data Services (ANDS) has evolved and matured as a national infrastructure project. This has involved a change in its engagement model; primarily moving from a compliance and milestone driven model, towards a partnering organisation. In 2013 ANDS streamlined its contract management and reporting process and initiated the Institutional Engagement program to assist partnering organisations achieve their research data ambitions. These, amongst other initiatives, helped ANDS move towards operating as a collaborator and partner, rather than solely as a funder. Between 2013 and 2017 ANDS changed its engagement model during four of its funding programs by offering funding and expertise into projects. However, the uptake of expertise was not as successful in the earlier programs as anticipated. As a result, changes in how ANDS engaged, including working more closely with project partners at the project initiation stage, were introduced. These changes improved ANDS’ ability to become embedded as a trusted and invested partner in the project team. Feedback provided by project partners during surveys and interviews suggests the shift from funder to partner is slowly evolving and moving in the right direction. To continue this process, ANDS, RDS and Nectar have adopted a Partnership Strategy as part of delivering its aligned business plan in 2018.

scholarly journals Why You Need Soft and Non-Technical Skills for Successful Data Librarianship

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Margaret Henderson
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Practical Knowledge ◽  
Soft Skills ◽  
Technical Skills ◽  
Life Cycles ◽  
Research Data ◽  
Relationship Building ◽  
Data Services ◽  
Research Data Management

There are many courses available to teach research data management to librarians and researchers. While these courses can help with technical skills, like programming or statistics, and practical knowledge of data life cycles or data sharing policies, there are “soft skills” and non-technical skills that are needed to successfully start and run data services. While there are many important characteristics of a good data librarian, reference skills, relationship building, collaboration, listening, and facilitation are some of the most important. Giving consideration to these skills will help any data librarian with their multifaceted job.

scholarly journals “How Do I Do That?” A Literature Review of Research Data Management Skill Gaps of Canadian Health Sciences Information Professionals

2019 ◽  
Vol 40 (2) ◽  
pp. 51-60
Author(s):  
Justin Fuhr
Keyword(s):  
Literature Review ◽  
Data Management ◽  
Health Sciences ◽  
Research Data ◽  
Research Data Management ◽  
Skill Gaps ◽  
Library And Information Studies ◽  
Information Studies ◽  
Canadian Health ◽  
Information Professionals

Abstract: There is a recognized need to provide research data management (RDM) services in health sciences libraries. A review of the literature reveals numerous strategies to provide training for health sciences librarians as they provide RDM services to health sciences researchers, faculty, and students. However, no consensus emerges through this literature review with respect to RDM training initiatives. With training initiatives being developed and documented, more in-depth research will emerge that verifies which initiatives have the greatest success for upskilling information professionals in managing research data. This is an area where future library and information studies research can be conducted. It is the hope that with this literature review, I can conduct my own survey to gain more perspective on RDM in a Canadian health sciences library context.

scholarly journals Examining barriers for establishing a national data service

2020 ◽  
Vol 43 (4) ◽  
pp. 1-14
Author(s):  
Janez Štebe
Keyword(s):  
Data Sharing ◽  
Professional Community ◽  
Research Data ◽  
Current Situation ◽  
European Countries ◽  
National Data ◽  
Services Research ◽  
High Quality Research ◽  
Data Services ◽  
Grassroots Initiatives

A system for monitoring the current situation of Data Archive Services (DAS) maturity in European countries was developed during the CESSDA Strengthening and Widening in (SaW 2016 and 2017) and further adapted in CESSDA Widening Activities 2018 (WA 2018) projects for continuous monitoring. An assessment of the existing national data sharing culture, the development of the social science sector and its production of high-quality research data, the funders’ research data policy requirements, and the capacity and skills of national grassroots initiatives, provide a framework for understanding the current situation in different countries. Methods used in the projects, included desk research of  existing documents and a survey, combined with extensive interviews focused on the area of expertise of the informants (individuals from data services, research and decision makers’ representatives from each country). The focus of the paper is the situation in 20 non-member CESSDA European countries with emerging and immature DAS initiatives. Results show that countries are slowly but persistently removing the key obstacles in establishing a DAS initiative in their respective countries. The remaining obstacles reside mainly outside the control of the data professional community – namely research funders slowly adopt data sharing policies and incentives for data sharing, including the provision of a sustainable DAS infrastructure, capable of supporting researchers with publishing and accessing research data. The results show that the lack of expertise and skills of DAS initiatives, their understanding of tools and services or organizational settings are not such an issue, as more mature DAS are organising training and mentorship activities. Detailed guidance in the DAS advocacy and planning was prepared in the framework of the above-mentioned pan-European and some past regional projects. The tools and framework of those activities will be referred to in the discussions as a resource that can be used in other countries and continents.

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.

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