The turning point in 1985. The history of appraisal and disposal of records in Iceland

The article sets off with a brief summary of the history of appraisal and disposal of records as processed at the National Archives of Iceland (NAI) since its establishment in 1882 to present times. Rules on appraisal and disposal of records introduced in 1900, 1911, and 1916 were ignored and all records were kept. Status quo remained until 1985 when a new National Archives Act was passed. The appraisal and disposal process adopted then is described and explained. It included the publication of instructions on records management as well as forms relating to records management. The influence of acts of law on the appraisal and disposal process is explained. Finally the experience with the arrangement of organised appraisal in Iceland is described.     

Gardening as a cognitive activity

Gardening and children are a natural combination; children love to play in the dirt, and are fascinated by growing things. The benefits of having a garden can go beyond the fresh vegetables and flowers, a lot can be learned in the process. Although skills involved in planting and caring for the garden and acquiring a rudimentary knowledge of biology are obvious benefits, many other cognitive skills can be introduced or reinforced with a garden project.Deborah G. Ventis is Associate Professor of Psychology, College of William and Mary, Williamsburgh, VA.     

Can a Teacher‐Led State Assessment System Work?

Recent implementation of Nebraska's Standards-based Teacher-led Assessment and Reporting System (STARS) introduced a unique opportunity to examine the benefits and drawbacks of a teacher-led state assessment system. STARS is unique among state assessment systems in that statewide tests are replaced by locally developed assessments designed by teachers. Benefits of this system are found to be greater teacher use of results for instructional planning, greater diagnostic utility of the assessments, and gains in assessment literacy. Disadvantages include the time-consuming and stressful nature of creating localized assessments. Compatibility of STARS with the requirements of the No Child Left Behind Act are discussed.     

Creating Access to Invisible Special Collections: Using Participatory Management to Reduce a Backlog

The University of Colorado at Boulder Libraries used participatory management to reduce a special collections backlog. Without an increase in budget or staffing, technical and public services departments designed a pilot project to redeploy internal human resources in a collaborative manner. The process of backlog management is discussed.     

Research trends and collaborations by applied science researchers in South African universities of technology: 2007–2017

This paper analyses the publication patterns of researchers in the field of applied sciences at Universities of Technology in South Africa. Aspects investigated include publications in SCOPUS-listed journals; number of citations and countries of publication. Collaborative research patterns at national and international levels were also investigated. A bibliometric analysis approach was followed using SCOPUS as the main source of data and analysing the articles published in selected applied science disciplines. Results show that researchers in the field of applied sciences in universities of technology have increased their number of publications over the past 10?years and are also working in conjunction with other researchers both nationally and internationally. The analysis is an important addition to the field in South Africa which helps in measuring how institutions are positively responding to government incentives in research. The results are also important to information professionals who are increasingly playing an important role in research impact assessments.     

Interdisciplinary scholarly collaboration in data-intensive,public-funded,international digital humanities project work

The information practices of collaborative interdisciplinary researchers, especially in distributed environments, remain understudied. Embracing the naturalistic paradigm, this qualitative case study relies upon semi-structured interviews, snowball sampling, and grounded analysis. Based on interviews with 53 participants from 11 Digging Into Data 3 (DID3, 2014-2016) projects, this study examines the working practices of scholars (library and information science professionals, humanists, and computer scientists) engaging in collaborative, international, data-intensive, publicly-funded interdisciplinary research. Benefits of such work include avoiding redundancy, exploding disciplinary silos, and more ambitious, larger-scale outputs. Challenges and lessons learned center on innovation, flexibility, and failure, translation, intermediaries, divisions of labor and delegation of responsibilities and tasks, conflict resolution, technology, outputs and publication, and timeframe, sustainability, and infrastructure.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.