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The purpose of this paper is to boost multidisciplinary research by the building of an integrated catalogue or research assets metadata. Such an integrated catalogue should enable researchers to solve problems or analyse phenomena that require a view across several scientific domains.

There are two main approaches for integrating metadata catalogues provided by different e-science research infrastructures (e-RIs): centralised and distributed. The authors decided to implement a central metadata catalogue that describes, provides access to and records actions on the assets of a number of e-RIs participating in the system. The authors chose the CERIF data model for description of assets available via the integrated catalogue. Analysis of popular metadata formats used in e-RIs has been conducted, and mappings between popular formats and the CERIF data model have been defined using an XML-based tool for description and automatic execution of mappings.

An integrated catalogue of research assets metadata has been created. Metadata from e-RIs supporting Dublin Core, ISO 19139, DCAT-AP, EPOS-DCAT-AP, OIL-E and CKAN formats can be integrated into the catalogue. Metadata are stored in CERIF RDF in the integrated catalogue. A web portal for searching this catalogue has been implemented.

Only five formats are supported at this moment. However, description of mappings between other source formats and the target CERIF format can be defined in the future using the 3M tool, an XML-based tool for describing X3ML mappings that can then be automatically executed on XML metadata records. The approach and best practices described in this paper can thus be applied in future mappings between other metadata formats.

The integrated catalogue is a part of the eVRE prototype, which is a result of the VRE4EIC H2020 project.

The integrated catalogue should boost the performance of multi-disciplinary research; thus it has the potential to enhance the practice of data science and so contribute to an increasingly knowledge-based society.

A novel approach for creation of the integrated catalogue has been defined and implemented. The approach includes definition of mappings between various formats. Defined mappings are effective and shareable.

The importance of grey literature is becoming increasingly recognised. For many organisations it encapsulates the knowledge and know‐how and thus is a vital business asset. It has similar importance in quality of life aspects – healthcare, environment and culture. Grey literature in a R&D (research and development) environment represents the cutting edge of this knowledge and so its management is of utmost importance. Partly based on involvement in defining the datamodels for R&D information interchange across Europe, the author defines a content metadata datamodel for grey literature which is more expressive and has more flexibility than any previous proposal and which integrates seamlessly with the CERIF2000 definition which will soon replace the CERIF1991 European Union Recommendation to Member States on Exchange of R&D Information. The content metadata datamodel offers significant advantages over Dublin Core yet can generate Dublin Core if required.

The purpose of this paper is to discuss added value in the context of current research information systems (CRISs) based on metadata enrichment.

This discussion paper uses literature review as well as analysis of CRISs specifications to discuss added value possibilities.

Added value of the CRISs is in their integration and interoperability with the same and similar information systems. Since metadata plays key roles in interoperability of information systems, therefore focussing on metadata-related issue can add considerable values to CRISs. Two types of metadata can be distinguished in every CRISs including macro- and micro-metadata. In terms of macro-metadata common European research information format (CERIF) by itself is an added value for CRIS because it draws a complete view of the research landscape including entities and their relations. CERIF metadata structure is designed in such a way that supports micro- and macro-metadata.

There is a lack of literature on adding value to research information systems especially CRIS and particularly how value can be added in CRISs still is an unanswered question. CRIS developers can use this paper as a road map to choose the most valuable strategy for adding value to their systems.

The need for a more structured methodology than currently exists for describing the impact of academic research is widely acknowledged. The most widely used research information standard, CERIF, does not currently allow the encoding of research impact in a structured way: this project devised and tested an extension to CERIF to address this omission. The paper seeks to discuss these points.

The core methodology of the project is a series of extensions to the CERIF model to encode “impact statements”, indicators of impact and measures as evidence for them. These can be linked to persons, organisational units or research outputs. This model is supported by a small semantic taxonomy of indicators and measures. The model was tested by evaluating it against current information environments, and by assessing its compatibility with CERIF and non‐CERIF compliant current research information systems.

Despite some concerns expressed about the validity of reducing qualitative evidence of impact to atomistic measures, and about a general paucity of such data in existing systems, the model tested well against working environments. It offers the potential for reducing workloads and more continuous assessment of research impact within its stakeholder communities.

No substantive methodology for encoding impact statements existed in CERIF prior to this project. In addition, the atomistic, quantifiable approach to describing impact is relatively unexplored in the higher education community, but offers substantial advantages. The work is of relevance to research managers, developers, system designers and metadata specialists.

Purpose–To report on the Eighth International Conference on Grey Literature held 4‐5 December 2006 in New Orleans, Louisiana, USA. Design/methodology/approach–Describes the main points of the conference. Findings–Conference continues to offer a global platform for discussions about changes in grey literature. Originality/value–New applications are shared, deeper understandings about power of Internet and electronic publishing and collection intensities.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

Dissertations from the University of Novi Sad (UNS) are integrated with the research information system called the current research information system (CRIS) UNS. This paper aims to present a proposal for an extension of this system to enable the storage of student papers as prescribed by PhD study exam obligations. The proposed extension enables preservation and improves discoverability of scientific and technical works produced by students during their PhD studies.

An analysis of examination modes in accredited PhD study programs has been conducted. It was noted that students in examination modes verify the obtained results in the form of scientific and technical work. The main idea of this paper is to enable the preservation of those student results and to implement electronic services for retrieving those results by current and future PhD students to empower the development of science.

The proposal includes an extension of the CRIS UNS to store and publish student papers as prescribed as a PhD study exam obligation; an extension of the CERIF data model to enable storing of student papers; cataloguing student papers in the MARC 21 format; and a way to represent student papers in the Dublin Core format.

This paper can be a starting point for initiatives for the creation of institutional, regional, national and international Web portals for searching and browsing papers by PhD students.

This system offers the improvement of cooperation between PhD students from different institutions and countries.

The paper presents an extension of institutional, national and international current research information system (CRIS) systems which will enable the preservation and improve discoverability of student papers produced during PhD studies. The proposed extension has been verified by its implementation within the CRIS UNS system, which also supports monitoring of the scientific competencies of students based on an automatic evaluation of published scientific results.

In 2006, the U.S. Defense Acquisition Executive approved a program at the Naval Postgraduate School to solicit, evaluate, and fund proposals for innovative and scholarly acquisition research. This paper presents an exploratory analysis of proposals from 2007 to the present. It seeks to provide an understanding of the types and sources of research proposals, and the extent to which the programʼs goal has been achieved. Cluster and trend analyses classify and examine the data according to several key aspects, such as: topical area (e.g., contracting, logistics); research type (e.g., exploratory, hypothesis testing); research design (e.g., case study, experiment); and type of analysis (e.g., comparative, statistical). The results show positive trends, but the number of institutions with interest in defense acquisition remains low, suggesting that it remains a limited niche research topic.