Metadata enrichment for digital heritage: users as co-creators

This paper espouses the concept of metadata enrichment through an expert and user-focused approach to metadata creation and management. To this end, it is argued the Web 2.0 paradigm enables users to be proactive metadata creators. As Shirky (2008, p.47) argues Web 2.0’s social tools enable “action by loosely structured groups, operating without managerial direction and outside the profit motive”. Lagoze (2010, p. 37) advises, “the participatory nature of Web 2.0 should not be dismissed as just a popular phenomenon [or fad]”. Carletti (2016) proposes a participatory digital cultural heritage approach where Web 2.0 approaches such as crowdsourcing can be sued to enrich digital cultural objects. It is argued that “heritage crowdsourcing, community-centred projects or other forms of public participation”. On the other hand, the new collaborative approaches of Web 2.0 neither negate nor replace contemporary standards-based metadata approaches. Hence, this paper proposes a mixed metadata approach where user created metadata augments expert-created metadata and vice versa. The metadata creation process no longer remains to be the sole prerogative of the metadata expert. The Web 2.0 collaborative environment would now allow users to participate in both adding and re-using metadata. The case of expert-created (standards-based, top-down) and user-generated metadata (socially-constructed, bottom-up) approach to metadata are complementary rather than mutually-exclusive. The two approaches are often mistakenly considered as dichotomies, albeit incorrectly (Gruber, 2007; Wright, 2007) . This paper espouses the importance of enriching digital information objects with descriptions pertaining the about-ness of information objects. Such richness and diversity of description, it is argued, could chiefly be achieved by involving users in the metadata creation process. This paper presents the importance of the paradigm of metadata enriching and metadata filtering for the cultural heritage domain. Metadata enriching states that a priori metadata that is instantiated and granularly structured by metadata experts is continually enriched through socially-constructed (post-hoc) metadata, whereby users are pro-actively engaged in co-creating metadata. The principle also states that metadata that is enriched is also contextually and semantically linked and openly accessible. In addition, metadata filtering states that metadata resulting from implementing the principle of enriching should be displayed for users in line with their needs and convenience. In both enriching and filtering, users should be considered as prosumers, resulting in what is called collective metadata intelligence

Investments in Land Conservation in the Ethiopian Highlands: A Household Plot-Level Analysis of the Roles of Poverty, Tenure Security, and Market Inventives

Land degradation is a major problem undermining land productivity in the highlands of Ethiopia. This study explores the factors that affect farm households’ decisions at the plot level to invest in land conservation and how much to invest, focusing on the roles of poverty, land tenure security, and market access. Unlike most other studies, we used a double-hurdle model in the analysis with panel data collected in a household survey of 6,408 plots in the Amhara region of Ethiopia. The results suggest that the decisions to adopt land conservation investment and how much to invest appear to be explained by different processes. Poverty-related factors seem to have a mixed effect on both the adoption and intensity decisions. While a farmer’s adoption decision is influenced by whether or not the plot is owner-operated (a measure of risk for the immediate period), intensity of conservation is determined by expectation of the certainty of cultivating the land for the next five years (a measure of risk for the longer term), farmer’s belief of land ownership, and distance from plot to home.Ethiopia, land conservation, poverty, tenure security

Determinants of smallholder commercialization of food crops: Theory and evidence from Ethiopia

"In this paper, we develop a theoretical farm household model of food crop production and marketing decisions, derive testable hypotheses concerning the determinants of these decisions, and test these hypotheses, using data on cereal production and marketing collected from a nationally representative survey of 7,186 farm households in Ethiopia. Focusing on production and marketing decisions for teff and maize, the two most important crops in Ethiopia, we find that most producers of these crops are either autarkic or net buyers (especially for maize) and that net buyers and autarkic households are poorer in many respects than net sellers. This implies that interventions to increase cereal productivity will favorably affect distribution for most producers. The econometric analysis shows that increasing production of teff and maize is the most important factor contributing to increased sales, and that increased smallholder access to roads, land, livestock, farm equipment, and traders is key to enabling increased smallholder production and commercialization of these crops." from Authors' AbstractSmallholder production, Small farmers, household consumption, Market access, Commercial behavior, Market participation, Cereal crops,

Private Trees as Household Assets and Determinants of Tree-Growing Behavior in Rural Ethiopia

This study looked into tree-growing behavior of rural households in Ethiopia. With data collected at household and parcel levels from the four major regions of Ethiopia, we analyzed the decision to grow trees and the number of trees grown, using such econometric strategies as a zero-inflated negative binomial model, Heckman’s two-step procedure, and panel data techniques. Our findings show the importance of analysis at the parcel level in addition to the more common household-level. Moreover, the empirical analysis indicates that the determinants of the decision to grow trees are not necessarily the same as those involved in deciding the number of trees grown. Land certification, as an indicator of tenure security, increases the likelihood that households will grow trees, but is not a significant determinant of the number of trees grown. Other variables, such as risk aversion, land size, adult male labor, and education of household head, also influence the number of trees grown. In general, the results suggest the need to use education and/or awareness of the role and importance of trees and point out the importance of household endowments and behavior, such as land, labor, and risk aversion, for tree growing. Finally, we observed that, while tree planting is practiced in all four regions covered, there are variations across regions.trees as assets, tree growing, Ethiopia

Measuring Market Integration in Mozambican Maize Markets: A Threshold Vector Error Correction Approach

The primary objective of this research was to measure the extent of market integration between major surplus and deficit maize markets in Mozambique namely, Chimoio-Maputo, Chimoio-Beira, Ribaue-Nampula, and Mocuba-Nampula. To achieve this objective, Threshold Vector Autoregressive models were applied. The choice of the model was motivated by unobservable transaction costs and the import ant influence that their presence may exert on equilibrium spatial price relationships. The following are some of the major findings of the study. Firstly, threshold values (i.e. estimates of transaction costs) are found to be correlated positively with distance and inversely with the condition of the roads connecting markets. Secondly, market integration analysis revealed that out of the four surplus and deficit market combinations studied, Chimoio- Maputo and Mocuba-Nampula market pairs are integrated. However, the degree of integration was found to be the strongest in the former. Finally, results from the impulse response suggested that deficit/surplus markets, in the integrated market combinations, are relatively more responsive to shocks emanating from surplus/deficit markets.Mozambique, market integration, maize market, transaction cost, threshold vector error correction, Crop Production/Industries, Marketing, C21, C22, D4, E3, Q13,

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

Background: In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost of data generation as well as the statistical power for differential gene expression (DGE) analysis. For RNA sequencing, with its different quantitative output in terms of counts and tunable dynamic range, the adequacy and empirical validation of RNA sample pooling strategies have not yet been evaluated. In this study, we comprehensively assessed the utility of pooling strategies in RNA-seq experiments using empirical and simulated RNA-seq datasets. Result: The data generating model in pooled experiments is defined mathematically to evaluate the mean and variability of gene expression estimates. The model is further used to examine the trade-off between the statistical power of testing for DGE and the data generating costs. Empirical assessment of pooling strategies is done through analysis of RNA-seq datasets under various pooling and non-pooling experimental settings. Simulation study is also used to rank experimental scenarios with respect to the rate of false and true discoveries in DGE analysis. The results demonstrate that pooling strategies in RNA-seq studies can be both cost-effective and powerful when the number of pools, pool size and sequencing depth are optimally defined. Conclusion: For high within-group gene expression variability, small RNA sample pools are effective to reduce the variability and compensate for the loss of the number of replicates. Unlike the typical cost-saving strategies, such as reducing sequencing depth or number of RNA samples (replicates), an adequate pooling strategy is effective in maintaining the power of testing DGE for genes with low to medium abundance levels, along with a substantial reduction of the total cost of the experiment. In general, pooling RNA samples or pooling RNA samples in conjunction with moderate reduction of the sequencing depth can be good options to optimize the cost and maintain the power

SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data

SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data. It is reasonably flexible to accommodate a wide range of experimental scenarios, including different sample sizes, biological signals (differential expression) and confounding batch effects