Open Innovation in Development: Integrating Theory and Practice Across Open Science, Open Education, and Open Data

2017 ◽  
Author(s):  
Jeremy de Beer
Keyword(s):  
Open Innovation ◽  
Open Data ◽  
Open Science ◽  
Theory And Practice ◽  
Open Education

scholarly journals Open Research: Examples of good practice, and resources across disciplines

2020 ◽  
Author(s):  
Emily Kate Farran ◽  
Priya Silverstein ◽  
Aminath A. Ameen ◽  
Iliana Misheva ◽  
Camilla Gilmore
Keyword(s):  
Case Studies ◽  
Good Practice ◽  
Open Data ◽  
Open Science ◽  
Open Education ◽  
Research Practices ◽  
Open Research

Open research is best described as “an umbrella term used to refer to the concepts of openness, transparency, rigor, reproducibility, replicability, and accumulation of knowledge” (Crüwell et al., 2019, p. 3). Although a lot of open research practices have commonly been discussed under the term “open science”, open research applies to all disciplines. If the concept of open research is new to you, it might be difficult for you to determine how you can apply open research practices to your research. The aim of this document is to provide resources and examples of open research practices that are relevant to your discipline. The document lists case studies of open research per discipline, and resources per discipline (organised as: general, open methods, open data, open output and open education).

scholarly journals Open archaeology. Advances and challenges in the management of archaeological contents

Complutum ◽  
2021 ◽  
Vol 32 (2) ◽  
pp. 443-458
Author(s):  
Silvia Fernández Cacho
Keyword(s):  
Public Management ◽  
Open Data ◽  
Open Science ◽  
Theory And Practice ◽  
Potential Vector ◽  
Construction Of Knowledge ◽  
Administrative Management ◽  
Use Of Data ◽  
Social Construction Of Knowledge ◽  
Close Relationship

During the last two decades there has been a crucial change in the ways of producing, accessing and using information from all branches of knowledge, including archaeology. Concepts such as open data and content, open access, free software, social construction of knowledge, etc. have been installed in the theory and practice of scientific research (open science) and administrative management (open government) to become an outstanding potential vector for the advancement of scientific knowledge, the economy based on use of data and the transparency of institutions. In the field of cultural heritage, the democratization of knowledge, social participation in public management or the rise of cultural tourism, also affect the increasingly close relationship between the academic, professional and administrative fields and these, in turn, with a population that ceases to be exclusively passive recipient of the information filtered from these areas, to become involved in many of the aspects that concern its management. In this context, archaeology shows some singularities that will be discussed in this paper, focusing on the Spanish case. For this purpose, the advances that have taken place in the generation of open archaeological contents will be reviewed, as well as the main remaining challenges.

scholarly journals “Openness” with and without Information Technology: A Framework and a Brief History

2017 ◽  
Vol 32 (4) ◽  
pp. 297-305 ◽  
Author(s):  
Daniel Schlagwein ◽  
Kieran Conboy ◽  
Joseph Feller ◽  
Jan Marco Leimeister ◽  
Lorraine Morgan
Keyword(s):  
Information Technology ◽  
Open Source Software ◽  
Open Innovation ◽  
Historical Context ◽  
Open Science ◽  
Open Education ◽  
The Past ◽  
Role Of It ◽  
Open Strategy

Over the past two decades, openness (e.g. ‘open’ innovation, ‘open’ education and ‘open’ strategy) has been of increasing interest for researchers and of increasing relevance to practitioners. Openness is often deeply embedded in information technology (IT) and can be both a driver for and a result of innovative IT. To clarify the concept of “openness”, we provide an overview of the scope of cross-disciplinary research on openness. Based on this overview, we develop a framework of openness, which proposes a higher-order concept of “openness” characterised by transparency, access, participation and democracy. The framework further distinguishes open resources, open processes and the effects of opening on particular domains. To provide the historical context and to appreciate the role of IT in openness, we discuss two historical examples of openness: the introduction of an open science model in academia (openness without IT) and the emergence of open source software development (openness with IT). We conclude by highlighting some concerns with and limitations of “openness”.

Women Leaders in Openness

2017 ◽  
Author(s):  
Vicky Steeves
Keyword(s):  
Open Access ◽  
Open Source ◽  
Women Leaders ◽  
Source Code ◽  
Open Data ◽  
Open Science ◽  
Open Education ◽  
Open Source Code ◽  
Education Resources ◽  
Open Education Resources

An open source database and website that lists and maps women who have shown great leadership in open everything -- open education resources, open source, open access, etc.! This repository holds the source code and data for a list of women leaders in openness! This website contains a searchable, sortable list of women who do work in the field of openness: open access, open science, open scholarship, open source code, open data, open education resources -- anything open. There is also a map available for folks who would like to look for women leaders nearest them -- the hope is that this map makes planning conferences, workshops, and events more convenient. The data comes from April Hathcock’s Google Doc and merge requests to this repository.

scholarly journals Total SciComm: A Strategy for Communicating Open Science

Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 31
Author(s):  
Manh-Toan Ho ◽  
Manh-Tung Ho ◽  
Quan-Hoang Vuong
Keyword(s):  
Social Media ◽  
Science Communication ◽  
Scientific Community ◽  
Open Data ◽  
Open Science ◽  
Central Idea ◽  
Retracted Article ◽  
Scientific Ideas

This paper seeks to introduce a strategy of science communication: Total SciComm or all-out science communication. We proposed that to maximize the outreach and impact, scientists should use different media to communicate different aspects of science, from core ideas to methods. The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation. The case embodied the central idea of Total SciComm: the scientific community employs every medium to communicate scientific ideas and engages all scientists in the process.

scholarly journals The C-BIG Repository: an Institution-Level Open Science Platform

2021 ◽  
Author(s):  
Samir Das ◽  
Rida Abou-Haidar ◽  
Henri Rabalais ◽  
Sonia Denise Lai Wing Sun ◽  
Zaliqa Rosli ◽  
...  
Keyword(s):  
Neurological Diseases ◽  
Open Data ◽  
Open Science ◽  
Data Repository ◽  
Multiple Stakeholders ◽  
Montreal Neurological Institute ◽  
Multimodal Data ◽  
Small Patient ◽  
Clinical Data Repository ◽  
Access Data

AbstractIn January 2016, the Montreal Neurological Institute-Hospital (The Neuro) declared itself an Open Science organization. This vision extends beyond efforts by individual scientists seeking to release individual datasets, software tools, or building platforms that provide for the free dissemination of such information. It involves multiple stakeholders and an infrastructure that considers governance, ethics, computational resourcing, physical design, workflows, training, education, and intra-institutional reporting structures. The C-BIG repository was built in response as The Neuro’s institutional biospecimen and clinical data repository, and collects biospecimens as well as clinical, imaging, and genetic data from patients with neurological disease and healthy controls. It is aimed at helping scientific investigators, in both academia and industry, advance our understanding of neurological diseases and accelerate the development of treatments. As many neurological diseases are quite rare, they present several challenges to researchers due to their small patient populations. Overcoming these challenges required the aggregation of datasets from various projects and locations. The C-BIG repository achieves this goal and stands as a scalable working model for institutions to collect, track, curate, archive, and disseminate multimodal data from patients. In November 2020, a Registered Access layer was made available to the wider research community at https://cbigr-open.loris.ca, and in May 2021 fully open data will be released to complement the Registered Access data. This article outlines many of the aspects of The Neuro’s transition to Open Science by describing the data to be released, C-BIG’s full capabilities, and the design aspects that were implemented for effective data sharing.

scholarly journals Learning Open Science by doing Open Science. A reflection of a qualitative research project-based seminar

2020 ◽  
Vol 36 (3) ◽  
pp. 263-279
Author(s):  
Isabel Steinhardt
Keyword(s):  
Qualitative Research ◽  
Open Source ◽  
Knowledge Society ◽  
Open Data ◽  
Open Science ◽  
Research Project ◽  
Science Practices ◽  
Bachelor's Degrees ◽  
Participatory Technologies ◽  
Digital Knowledge

Openness in science and education is increasing in importance within the digital knowledge society. So far, less attention has been paid to teaching Open Science in bachelor’s degrees or in qualitative methods. Therefore, the aim of this article is to use a seminar example to explore what Open Science practices can be taught in qualitative research and how digital tools can be involved. The seminar focused on the following practices: Open data practices, the practice of using the free and open source tool “Collaborative online Interpretation, the practice of participating, cooperating, collaborating and contributing through participatory technologies and in social (based) networks. To learn Open Science practices, the students were involved in a qualitative research project about “Use of digital technologies for the study and habitus of students”. The study shows the practices of Open Data are easy to teach, whereas the use of free and open source tools and participatory technologies for collaboration, participation, cooperation and contribution is more difficult. In addition, a cultural shift would have to take place within German universities to promote Open Science practices in general.

scholarly journals An open toolkit for tracking open science partnership implementation and impact

2019 ◽  
Vol 3 ◽  
pp. 1442 ◽  
Author(s):  
E. Richard Gold ◽  
Sarah E. Ali-Khan ◽  
Liz Allen ◽  
Lluis Ballell ◽  
Manoel Barral-Netto ◽  
...  
Keyword(s):  
Annual Report ◽  
Open Data ◽  
Structured Interview ◽  
Open Science ◽  
Social Scientists ◽  
Policy Makers ◽  
Ethical Concerns ◽  
Research And Innovation ◽  
Survey Form ◽  
The Impact

Serious concerns about the way research is organized collectively are increasingly being raised. They include the escalating costs of research and lower research productivity, low public trust in researchers to report the truth, lack of diversity, poor community engagement, ethical concerns over research practices, and irreproducibility. Open science (OS) collaborations comprise of a set of practices including open access publication, open data sharing and the absence of restrictive intellectual property rights with which institutions, firms, governments and communities are experimenting in order to overcome these concerns. We gathered two groups of international representatives from a large variety of stakeholders to construct a toolkit to guide and facilitate data collection about OS and non-OS collaborations. Ultimately, the toolkit will be used to assess and study the impact of OS collaborations on research and innovation. The toolkit contains the following four elements: 1) an annual report form of quantitative data to be completed by OS partnership administrators; 2) a series of semi-structured interview guides of stakeholders; 3) a survey form of participants in OS collaborations; and 4) a set of other quantitative measures best collected by other organizations, such as research foundations and governmental or intergovernmental agencies. We opened our toolkit to community comment and input. We present the resulting toolkit for use by government and philanthropic grantors, institutions, researchers and community organizations with the aim of measuring the implementation and impact of OS partnership across these organizations. We invite these and other stakeholders to not only measure, but to share the resulting data so that social scientists and policy makers can analyse the data across projects.

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