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The purpose of this paper is to highlight the perception of the students towards the quality and effectiveness of social work education offered by Indira Gandhi National Open University (IGNOU) through open and distance learning (ODL).

The sample size consisted of 150 students, 15 academic counsellors engaged in either teaching or development sectors, or faculty members of School of Social Work of IGNOU. The methods of data collection included interviews and content analysis. Interview schedule for students, interview guide for academic counsellors and interview guide for faculty members were used.

The study centres were allotted as per student’s choice. Students were satisfied with the counsellors because of their support, availability, contact, accessibility and assisting the students to clearing their doubts. The study found that the student’s attendance in counselling sessions was found to be negligible, even a large number of respondents were not aware of the ODL system. The study also shows that students face lots of problem with regard to their field work supervision and other components of field work as were also neglected.

The findings of the study are extremely relevant for formulating necessary guidelines for improving the social work education through ODL mode. The study recommends revision of course materials translated in Hindi language, holding of individual and group conferences regularly as well as proper evaluation of field work reports.

This is first such study conducted in India to examine the effectiveness of social work education through ODL.

The paper examines academic historians' information interactions with material from digital historical-newspaper collections as the research process unfolds.

The study employed qualitative analysis from in-depth interviews with Finnish history scholars who use digitised historical newspapers as primary sources for their research. A model for task-based information interaction guided the collection and analysis of data.

The study revealed numerous information interactions within activities related to task-planning, the search process, selecting and working with the items and synthesis and reporting. The information interactions differ with the activities involved, which call for system support mechanisms specific to each activity type. Various activities feature information search, which is an essential research method for those using digital collections in the compilation and analysis of data. Furthermore, application of quantitative methods and multidisciplinary collaboration may be shaping culture in history research toward convergence with the research culture of the natural sciences.

For sustainable digital humanities infrastructure and digital collections, it is of great importance that system designers understand how the collections are accessed, why and their use in the real-world context. The study enriches understanding of the collections' utilisation and advances a theoretical framework for explicating task-based information interaction.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

The purpose of this study is to examine the extent of climate change awareness among the rural farmers of Northern Cross River state, investigate the gender role analyzes of some daily routine activities carried out by these rural farmers, ascertain the difference in workload burden of the impacts of climate change between men and women, identify the strategies adopted by these rural farmers to mitigate the effects of climate change in their agricultural activities and investigate the roles Environmental Education (EE) can play in helping the rural farmers to design and adopt sustainable adaptation and mitigation strategies to reduce or completely eradicate their vulnerability to climate change effects.

The research design adopted for this study is the cross-sectional survey method. Five research questions guided the study. Two sets of instruments were used for data collection, a sample of 1,258 respondents (0.1%) were selected for the study. The researchers personally administered the instruments and collected the same back, two instruments were not properly filled, so they were rejected.

The finding of the study revealed that rural farmers have some level of climate change awareness, which they got from radio, newspapers, awareness campaigns, flyers, billboards, among others. Six out of the nine strategies listed were adopted by the rural farmers to mitigate climate change effects among these rural farmers. There is a significant difference in gender workload burden between women and male in the area, the result is positively skewed toward women, implying that the burden of workload for women increased over those of men. The result also shows that EE can influence their attitude toward climate change through awareness creation, knowledge provisions and also encourage members participation in climate change effect mitigation, prevention and adaptation.

With this result, EE can be used as a tool for the creation of knowledge, awareness, attitude and encourage the participation of these rural farmers toward mitigating and prevention climate change effects among these rural farmers. It was recommended among others that deliberate policies should be designed to make EE help create the needed awareness on climate change, beginning from the causes, effects and mitigation strategies among rural farmers in their community.

Already, most Environmental Educators have been trained, the government should design and formulate practical policies to use them as extension agent on climate change effort to go to these rural communities and create the needed awareness, knowledge, skills and attitude to help them combat climate change effects including trees and cover crops planting and also re-introducing the use of irrigation agriculture in these farming communities.

With the creation of awareness, social groups and individuals can also make a social investment from these activities and also improve their social capitals, thereby reducing social burdens and improving their living conditions within the rural settings.

This research is an original research paper from the effort. the purpose is to assess the extent of climate change awareness level and how the effects of climate change increase or reduces the burden of gender workload among rural farmers and the strategies which can be used by these rural farmers to prevent, mitigate and adapt to climate change effects and the roles EE can play. This study has an original value in the sense that in the course of the study, the study hardly saw articles on these specific variables in whole research, hence the resolve to assess these variables.

Budgeting data curation tasks in research projects is difficult. In this paper, we investigate the time spent on data curation, more specifically on cleaning and documenting quantitative data for data sharing. We develop recommendations on cost factors in research data management.

We make use of a pilot study conducted at the GESIS Data Archive for the Social Sciences in Germany between December 2016 and September 2017. During this period, data curators at GESIS - Leibniz Institute for the Social Sciences documented their working hours while cleaning and documenting data from ten quantitative survey studies. We analyse recorded times and discuss with the data curators involved in this work to identify and examine important cost factors in data curation, that is aspects that increase hours spent and factors that lead to a reduction of their work.

We identify two major drivers of time spent on data curation: The size of the data and personal information contained in the data. Learning effects can occur when data are similar, that is when they contain same variables. Important interdependencies exist between individual tasks in data curation and in connection with certain data characteristics.

The different tasks of data curation, time spent on them and interdependencies between individual steps in curation have so far not been analysed.

The purpose of this study is to contribute to the research related to “the interplay between accounting and the state, politics, and local authorities in the broad government and administration of food for sustainability of populations” (Sargiacomo et al., 2016). Considering contemporary examples and investigating the genealogy of an 18th-century reform of fishery management (the New Plan), the authors explore the role played by accounting and calculative practices when local authorities intervene using forms of discipline based on control systems that acted on commons (fish), people and space.

This paper is historically grounded on archival research on a fish provisioning case during the 18th century in Ancona, an Italian town on the Adriatic coast. The investigation adopts an approach focussed on the use of disciplinary methods in the terms highlighted by Foucault. This perspective offers a lens capable of revealing the key role of accounting in a period when discipline became “general formulas of domination” (Foucault, 1977) and the Papal States were looking for food provisioning solutions (Foucault, 2007). The study highlights similarities with contemporary fishery management.

The paper shows that governability of fishery in a commons' logic is not limited by the properties of the good, but rather “it is achieved through the objects and instruments that are deployed to make it possible” (Johnsen, 2014, p. 429). It reveals forms assumed by economic calculation in different eras and their contribution in the art of governing realised by the state (Hoskin and Macve, 2016). The study unveils how accounting effectively operates using “naming and counting” activities (Ezzamel and Hoskin, 2002) based on a system of documents and accounting registers; these have a pivotal role in redefining fishery management and in keeping goods (fish) and people (fishermen) under control. The investigation also highlights the importance of properly quantifying data in fishery management, confirming the literature on the topic (Beddington et al., 2007, p. 1713). In contemporary situations, data refer to quantifying the fish stock in the sea and the consequent estimation of fish catch. In the historical investigation, although environmental protection was not an issue, quantification refers to the fish that entered the town of Ancona, whose estimation was the result of a new calculative approach adopted by local authorities facing fish needs. In addition, it offers early evidence of organised and rational-based control mechanisms that were the result of Enlightened ideas emerging in the Papal States context.

Despite the fact that fish represent a fundamental good for governments to act on in response to a population's needs, there has been no attention paid to how governmental authorities have used disciplinary mechanisms to intervene in fishery management or the role played by accounting. This study's novelty is its investigation of fishery, using Foucauldian disciplinary methods to understand accounting's contribution in fishery governance. In addition, this investigation permits to unveil the role of accounting to support one of the main principles of the governance of commons that is represented by the congruence between rules and local conditions (Fennell, 2011, p. 11; Ostrom, 1990, p. 92).

Resilience in healthcare is fundamental for what constitutes quality in healthcare. To understand healthcare resilience, resilience research needs a multilevel perspective, diverse research designs, and taking advantage of different data sources. However, approaching resilience researchers as a data source is a new approach within this field and needs careful consideration to ensure that research is trustworthy and ethically sound. The aim of this short “backstage” general review paper is to give a snapshot of how the Resilience in Healthcare (RiH) research program identified and dealt with potential methodological and ethical challenges in researching researcher colleagues.

The authors first provide an overview of the main challenges and benefits from the literature on researching researcher colleagues. Second, the authors demonstrate how this literature was used to guide strategies and principles adopted in the RiH research process.

The paper describes established principles and a checklist for data collection and analysis to overcome potential dilemmas and challenges to ensure trustworthiness and transparency in the process.

Mining the knowledge and experience of resilience researchers is fundamental for taking the research field to the next step, and furthermore an approach that is relevant across different research fields. This paper provides guidance on how other research projects can approach researcher colleagues in similar ways to gain new insight, build theory and advance their research field based on insider competence.

Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data scientists and business analysts. The purpose of this paper is to illustrate that process mining can do with events what spreadsheets can do with numbers.

The paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes.

Differences and commonalities between spreadsheets and process mining are described. Unlike process mining tools like ProM, spreadsheets programs cannot be used to discover processes, check compliance, analyze bottlenecks, animate event data, and provide operational process support. Pointers to existing process mining tools and their functionality are given.

Event logs and operational processes can be found everywhere and process mining techniques are not limited to specific application domains. Comparable to spreadsheet software widely used in finance, production, sales, education, and sports, process mining software can be used in a broad range of organizations.

The paper provides an original view on process mining by relating it to the spreadsheets. The value of spreadsheet-like technology tailored toward the analysis of behavior rather than numbers is illustrated by the over 20 commercial process mining tools available today and the growing adoption in a variety of application domains.

Inter-organisational governance is an important enabler for information processing, particularly in relationships undergoing digital transformation (DT) where partners depend on each other for information in decision-making. Based on information processing theory (IPT), the authors theoretically and empirically investigate how governance mechanisms address information asymmetry (uncertainty and equivocality) arising in capturing, sharing and interpreting information generated by digital technologies.

IPT is applied to four cases of public–private relationships in the Dutch infrastructure sector that aim to enhance the quantity and quality of information-based decision-making by implementing digital technologies. The investigated relationships are characterised by differing degrees and types of information uncertainty and equivocality. The authors build on rich data sets including archival data, observations, contract documents and interviews.

Addressing information uncertainty requires invoking contractual control and coordination. Contract clauses should be precise and incentive schemes functional in terms of information requirements. Information equivocality is best addressed by using relational governance. Identifying information requirements and reducing information uncertainty are a prerequisite for the transformation activities that organisations perform to reduce information equivocality.

The study offers insights into the roles of both governance mechanisms in managing information asymmetry in public–private relationships. The study uncovers key activities for gathering, sharing and transforming information when using digital technologies.

This study draws on IPT to study public–private relationships undergoing DT. The study links contractual control and coordination as well as relational governance mechanisms to information-processing activities that organisations deploy to reduce information uncertainty and equivocality.