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The study aims to shed light on the current state of “Dataset repositories” indexed in Directory of Open Access Repositories (OpenDOAR).

From each repository/record information, the Open-Access Policies, Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), year of creation and the number of data sets archived in the repositories were manually searched, documented and analyzed.

Developed countries like the United Kingdom and the USA are primarily involved in the development of institutional open-access repositories comprising significant components of OpenDOAR. The most extensively used software is DSpace. Most data set archives are OAI-PMH compliant but do not follow open-access rules. The study also highlights the sites’ embrace of Web 2.0 capabilities and discovers really simple syndication feeds and Atom integration. The use of social media has made its presence known. Furthermore, the study concludes that the number of data sets kept in repositories is insufficient, although the expansion of such repositories has been consistent over the years.

The work has the potential to benefit both researchers in general and policymakers in particular. Scholars interested in research data, data sharing and data reuse can learn about the present state of repositories that preserve data sets in OpenDOAR. At the same time, policymakers can develop recommendations and policies to assist in the construction and maintenance of repositories for data sets.

According to the literature, there have been numerous studies on open-access repositories and OpenDOAR internationally, but no research has focused on repositories preserving content-type data sets. As a result, the study attempts to uncover various characteristics of OpenDOAR Data set repositories.

Entrepreneurship as a socially engaged and responsible movement is increasingly conceptualised as creating multiple sources of value: social, environmental, technological, cultural as well as financial, all contributing to wider economic performance. There is a rapid growth in the availability and expectation of ‘Open’ tools and resources, including innovation; data; research access; source code; educational and learning materials; and government. There is an increasing interest in their potential for value creation, requiring research attention and clarity of what ‘Open’ means in this context.

This chapter explores the following three dimensions of the ‘Open Space’ of freely available resources for entrepreneurship:

• (1)

  What is ‘Open’ in the context of entrepreneurship?

• (2)

  Why is Open Entrepreneurship (OE) important for conceptualisation, education and practice?

• (3)

  Can OE provide significant new opportunities for innovation, value creation and learning, and if so, how can these be realised?

What is ‘Open’ in the context of entrepreneurship?

Why is Open Entrepreneurship (OE) important for conceptualisation, education and practice?

Can OE provide significant new opportunities for innovation, value creation and learning, and if so, how can these be realised?

The chapter defines ‘OE’ as a unifying approach for value creation through a conceptual model combining ‘Open’ tools and resources. Open resources for digital and data-led entrepreneurship offer conditions for new, pervasive and distributed forms of value-creating entrepreneurial activity. These can create learning environments with rich access to data and resources, innovative connections and opportunities for co-creating value in multiple forms. This learning-centred approach builds on the concept of entrepreneurship as an educational philosophy of value creation for others. Without this, there are risks that entrepreneurial education, and the capabilities of micro-business owners and managers, may lag the development of an Open digital economy, rather than creating new forms of OE.

This paper aims to explore the issues, the role of research data management (RDM) as a mechanism for implementing open research data and the role and opportunities for records managers. The open data agenda is premised on making as much data as possible open and available. However, in the context of open research data there are methodological, ethical and practical issues with this premise.

Two collaborative research projects focusing on qualitative health data were conducted. “DATUM for Health” designed and delivered a tailored RDM skills training programme for postgraduate research students in health studies. “DATUM in Action” was an action research project between researchers from information sciences, health, mathematics and computing, looking at planning and implementing RDM.

Three key issues emerged about what research data is appropriate to make open/accessible for sharing and reuse: re-using qualitative data conflicts with some of the epistemological and methodological principles of qualitative research; there are ethical concerns about making data obtained from human participants open, which are not completely addressed by consent and anonymisation; many research projects are small scale and the costs of preparing and curating data for open access can outweigh its value. In exploring these issues, the authors advocate the need for effective appraisal skills and researcher-focused RDM with records managers playing a useful role.

The findings come from two small-scale qualitative projects in health studies. Further exploration of these issues is required.

Records managers have new crucial opportunities in the open data and RDM contexts, bringing their expertise and experience in managing a wider range of data and information. They can help realise the benefits of multiple perspectives (researcher, data manager, records manager and archivist) on open research data.

Researcher-focused RDM offers a mechanism for implementing open research data.

It raises complex issues around open research data not found in the records management literature, highlights the need for researcher-focussed RDM and research data appraisal skills and a not yet fully recognised role for records managers.

This chapter examines the trends in published comparative and international education research from 2014 to 2019 with a special focus on 2019 publication in open access journals and by authors situated in the Global South. In particular, two trends from 2019 are (1) the increasing number of research publications in the field of comparative and international education that are being published in online, open access journals and (2) the representation among these research publications between authors situated in Global North versus Global South contexts. Evidence from the six years of data collection suggests that single country studies and qualitative methods continue to dominate published research in comparative and international education journals. 2019 data also show that there are significant different in the publication trends in subscription versus open access journals in the field, and that authors from the Global South are more likely to publish in open access journals, especially if they are female.

This paper aims to highlight the importance of open data and the role that knowledge management and open innovation can play in its identification and use. Open data has great potential to create social and economic value, but its main problem is that it is often not easily reusable. The aim of this paper is to propose a unique identifier for open data-sets that would facilitate search and access to them and help to reduce heterogeneity in the publication of data in open data portals.

Considering a model of the impact process of open data reuse and based on the digital object identifier system, this paper develops a proposal of a unique identifier for open data-sets called Open Data-set Identifier (OpenDatId).

This paper presents some examples of the application and advantages of OpenDatId. For example, users can easily consult the available content catalogues, search the data in an automated way and examine the content for reuse. It is also possible to find out where this data comes from, solving the problems caused by the increasingly frequent federation of data in open data portals and enabling the creation of additional services based on open data.

From an integrated perspective of knowledge management and open innovation, this paper presents a new unique identifier for open data-sets (OpenDatId) and a new concept for data-set, the FAIR Open Data-sets.

The paper presents a literature review on research data management services in African academic and research libraries on the backdrop of the advancing open science and open research data infrastructures. It provides areas of focus for library to support open research data.

The literature analysis and future role of African libraries in research data management services were based on three areas as follows:open science, research infrastructures and open data infrastructures. Focussed literature searches were conducted across several electronic databases and discovery platforms, and a qualitative content analysis approach was used to explore the themes based on a coded list.

The review reports of an environment where open science in Africa is still at developmental stages. Research infrastructures face funding and technical challenges. Data management services are in formative stages with progress reported in a few countries where open science and research data management policies have emerged, cyber and data infrastructures are being developed and limited data librarianship courses are being taught.

The role of the academic and research libraries in Africa remains important in higher education and the national systems of research and innovation. Libraries should continue to align with institutional and national trends in response to the provision of data management services and as partners in the development of research infrastructures.

Print theses and dissertations have regularly been submitted together with complementary material, such as maps, tables, speech samples, photos or videos, in various formats and on different supports. In the digital environment of open repositories and open data, these research results could become a rich source of research results and data sets, for reuse and other exploitation. The paper aims to discuss these issues.

After introducing electronic theses and dissertations (ETD) into the context of eScience, the paper investigates some aspects that impact the availability and openness of data sets and other supplemental files related to ETD (system architecture, metadata and data retrieval, legal aspects).

These items are part of the so-called “small data” of eScience, with a wide range of contents and formats. Their heterogeneity and their link to ETD need specific approaches to data curation and management, with specific metadata and identifiers and with specific services, workflows and systems. One size may not fit for all but it seems appropriate to separate text and data files. Regarding copyright and licensing, data sets must be evaluated carefully but should not be processed and disseminated under the same conditions as the related PhD theses. Some examples are presented.

The paper concludes with recommendations for further investigation and development to foster open access to research results produced along with PhD theses.

ETDs are an important part of the content of open repositories. Yet, their potential as a gateway to underlying research results has not really been explored so far.

This is a case study on the opportunities provided by Open Source library systems and the experience of delivering these systems through a shared service.

This chapter derives from desk research, interviews, and direct involvement in the project. The format is a case study, setting out a detailed timeline of events with information that can be applied in other settings.

This chapter presents reflections on the value and limitations of collaboration amongst libraries and librarians on an innovative approach to library systems and technologies. It also presents reflections on lessons learned from the processes and detailed discussion of the success factors for shared services and the reasons why such initiatives may not result in the outcomes predicted at the start.

Libraries and IT services considering Open Source and shared service approaches to provision will find material in this study useful when planning their projects.

The nature of collaboration and collaborative working is studied and observations made about the way that outcomes cannot always be predicted or controlled. In a genuine collaboration, the outcome is determined by the interactions between the partners and is unique to the specifics of that collaboration.

The case study derives from interviews, written material and direct observation not generally in the public domain, providing a strong insider’s view of the activity.

This paper aims to analyse a set of converging trends underpinning a larger phenomenon called science 2.0 and to assess what are the most important implications for scientific method and research institutions.

It is based on a triangulation of exploratory methods which include a wide-ranging literature review, Web-based mapping and in-depth interviews with stakeholders.

The main implications of science 2.0 are enhanced efficiency, transparency and reliability; raise of data-driven science; microcontributions on a macroscale; multidimensional, immediate and multiform evaluation of science; disaggregation of the value chain of service providers for scientists; influx of multiple actors and the democratisation of science.

The paper rejects the notion of science 2.0 as the mere adoption of Web 2.0 technologies in science and puts forward an original integrated definition covering three trends that have not yet been analysed together: open science, citizens science and data-intensive science. It argues that these trends are mutually reinforcing and puts forward their main implications. It concludes with the identification of three enablers of science 2.0 – policy measures, individual practice of scientists and new infrastructure and services and sees the main bottleneck in lack of incentives on the individual level.

This article, which is one of the products of an international collaborative research initiative called iTrust, aims to explore these questions and offer suggestions concerning how the issues they raise can be addressed.

The article describes the results of the first stage in a multi-stage research project leading to methods for developing retention and disposition specifications and formal schedules for open data and big data initiatives. A fictitious organization is used to describe the characteristics of open data and big data initiatives, the gap between current approaches to setting retention and disposition specifications and schedules and what is required and how that gap can be closed. The landscape described as a result of this stage in the research will be tested in case studies established in the second stage of the project.

The argument is made that the business processes supporting open data and big data initiatives could serve as the basis for developing enhanced standards and procedures that are relevant to the characteristics of these two kinds of initiatives. The point is also made, however, that addressing the retention and disposition issues requires knowledge and leadership, both of which are in short supply in many organizations. The characteristics, the issues and the approaches will be tested through case studies and consultations with those involved with managing and administering big data and open data initiatives.

There is very little, if any, current literature that addresses the impact of big data and open data on the development and application of retention schedules. The outcome of the research will benefit those who are seeking to establish processes leading to formally approved retention and disposition specifications, as well as an instrument – the approved retention and disposal schedule – designed to ensure the ongoing integrity of the records and data associated with big data and open data initiatives.