scholarly journals Are Research Datasets FAIR in the Long Run?

2019 ◽  
Vol 13 (1) ◽  
pp. 294-305
Author(s):  
Dennis Wehrle ◽  
Klaus Rechert
Keyword(s):  
Risk Model ◽  
State Level ◽  
Structural Representation ◽  
Data Repositories ◽  
Domain Specific ◽  
Long Run ◽  
File Formats ◽  
Public Repositories ◽  
Access To Data

Currently, initiatives in Germany are developing infrastructure to accept and preserve dissertation data together with the dissertation texts (on state level – bwDATA Diss1, on federal level – eDissPlus2). In contrast to specialized data repositories, these services will accept data from all kind of research disciplines. To ensure FAIR data principles (Wilkinson et al., 2016), preservation plans are required, because ensuring accessibility, interoperability and re-usability even for a minimum ten year data redemption period can become a major challenge. Both for longevity and re-usability, file formats matter. In order to ensure access to data, the data’s encoding, i.e. their technical and structural representation in form of file formats, needs to be understood. Hence, due to a fast technical lifecycle, interoperability, re-use and in some cases even accessibility depends on the data’s format and our future ability to parse or render these. This leads to several practical questions regarding quality assurance, potential access options and necessary future preservation steps. In this paper, we analyze datasets from public repositories and apply a file format based long-term preservation risk model to support workflows and services for non-domain specific data repositories. 1 BwDATADiss-bw Data for Dissertations:https://www.alwr-bw.de/kooperationen/bwdatadiss/ 2EDissPlusDFG-Project – Electronic Dissertations Plus:https://www2.hu-berlin.de/edissplus/

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

Long-term prior return patterns in stock and sector returns in India

2014 ◽  
Vol 11 (2) ◽  
pp. 192-210
Author(s):  
Sanjay Sehgal ◽  
Sakshi Jain
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Risk Model ◽  
Factor Model ◽  
Size Factor ◽  
Content Type ◽  
Long Run ◽  
Portfolio Managers ◽  
Sector Returns

Purpose – The purpose of this paper is to analyze long-term prior return patterns in stock returns for India. Design/methodology/approach – The methodology involves portfolio generation based on company characteristics and long-term prior return (24-60 months). The characteristic sorted portfolios are then regressed on risk factors using one factor (capital asset pricing model (CAPM)) and multi-factor model (Fama-French (FF) model and four factor model involving three FF factors and an additional sectoral momentum factor). Findings – After controlling for short-term momentum (up to 12 months) as documented by Sehgal and Jain (2011), the authors observe that weak reversals emerge for the sample stocks. The risk model CAPM fails to account for these long-run prior return patterns. FF three-factor model is able to explain long-term prior return patterns in stock returns with the exception of 36-12-12 strategy. The value factor plays an important role while the size factor does not explain cross-section of average returns. Momentum patterns exist in long-term sector returns, which are stronger for long-term portfolio formation periods. Further, the authors construct sector factor and observe that prior returns patterns in stock returns are partially absorbed by this factor. Research limitations/implications – The findings are relevant for investment analysts and portfolio managers who are continuously tracking global markets, including India, in pursuit of extra normal returns. Originality/value – The study contributes to the asset pricing and behavioral literature from emerging markets.

Infrastructure mortgage in Russia: Opportunities and prospects

2019 ◽  
pp. 114-133
Author(s):  
G. I. Idrisov ◽  
Y. Yu. Ponomarev
Keyword(s):  
Federal Government ◽  
Public Debt ◽  
Budget Deficit ◽  
Expert Assessment ◽  
Inflation Expectations ◽  
Direct Impact ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Negative Effect

The article shows that depending on the goals pursued by the federal government and the available interbudgetary tools a different design of infrastructure mortgage is preferable. Three variants of such mortgage in Russia are proposed, each of which is better suited for certain types of projects and uses different forms of subsidies. According to our expert assessment the active use of infrastructure mortgage in Russia can increase the average annual GDP growth rate by 0.5 p. p. on the horizon of 5—7 years. In the long run the growth of infrastructure financing through the use of infrastructure mortgage could increase long-term economic growth by 0.9 p. p., which in 20—30 years can add 20—30% of GDP to the economy. However, the change in the structure of budget expenditures in the absence of an increase in the budget deficit and public debt will cause no direct impact on monetary policy. The increase in the deficit and the build-up of public debt will have a negative effect on inflation expectations, which will require monetary tightening for a longer time to stabilize them.

PENGARUH INFRASTRUKTUR SECARA SPASIAL TERHADAP KONVERGENSI PERTUMBUHAN EKONOMI DI INDONESIA

INFO ARTHA ◽  
2017 ◽  
Vol 1 ◽  
pp. 17-28
Author(s):  
Anisa Fahmi
Keyword(s):  
Economic Growth ◽  
Regional Economics ◽  
Developed Countries ◽  
Road Infrastructure ◽  
Long Run ◽  
Catch Up ◽  
The Developed Countries ◽  
Positive Effect ◽  
Neoclassical Growth Theory

Motivated by inter-regional disparities condition that occurs persistently, this study examines the Indonesian economy in the long run in order to know whether it tends to converge or diverge. This convergence is based on the Solow Neoclassical growth theory assuming the existence of diminishing returns to capital so that when the developed countries reach steady state conditions, developing countries will continuously grow up to 'catch-up' with developed countries. Based on regional economics perspective, each region can not be treated as a stand-alone unit,therefore, this study also focuses on the influence of spatial dependency and infrastructure. Economical and political situations of a region will influence policy in that region which will also have an impact to the neighboring regions. The estimation results of spatial cross-regressive model using fixed effect method consistently confirmed that the Indonesian economy in the long term will likely converge with a speed of 8.08 percent per year. Other findings are road infrastructure has a positive effect on economic growth and investment and road infrastructure are spatially showed a positive effect on economic growth. In other words, the investment and infrastructure of a region does not only affect the economic growth of that region but also to the economy of the contiguous regions. 

From Help Giving to Helping Relations

2018 ◽  
pp. 464-488
Author(s):  
Arie Nadler
Keyword(s):  
Well Being ◽  
Psychological Research ◽  
Psychological Needs ◽  
Social Psychological ◽  
Significant Relationships ◽  
Long Run ◽  
Help Giving ◽  
Social Psychological Research ◽  
Practical Implications

This chapter reviews social psychological research on help giving and helping relations from the 1950s until today. The first section considers the conditions under which people are likely to help others, personality dispositions that characterize helpful individuals, and motivational and attributional antecedents of helpfulness. The second section looks at long-term consequences of help and examines help in the context of enduring and emotionally significant relationships. Research has shown that in the long run help can increase psychological and physical well-being for helpers but discourage self-reliance for recipients. The third section analyzes helping from intra- and intergroup perspectives, considering how its provision can contribute to helpers’ reputations within a group or promote the positive social identity of in-groups relative to out-groups. Help is thus conceptualized as a negotiation between the fundamental psychological needs for belongingness and independence. Theoretical and practical implications are discussed.

scholarly journals Shades between Black and Green Investment: Balance or Imbalance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5024
Author(s):  
 Vítor Manuel de Sousa Gabriel ◽  
María Mar Miralles-Quirós ◽  
José Luis Miralles-Quirós
Keyword(s):  
Risk Factor ◽  
Oil Prices ◽  
Oil Price ◽  
Short Term ◽  
Environmental Indices ◽  
Long Run ◽  
Green Investment ◽  
Bounds Test

This paper analyses the links established between environmental indices and the oil price adopting a double perspective, long-term and short-term relationships. For that purpose, we employ the Bounds Test and bivariate conditional heteroscedasticity models. In the long run, the pattern of behaviour of environmental indices clearly differed from that of the oil prices, and it was not possible to identify cointegrating vectors. In the short-term, it was possible to conclude that, in contemporaneous terms, the variables studied tended to follow similar paths. When the lag of the oil price variable was considered, the impacts produced on the stock market sectors were partially of a negative nature, which allows us to suppose that this variable plays the role of a risk factor for environmental investment.

scholarly journals Financing Long-Term Services and Supports: Opportunities for Overcoming Historical Roadblocks to Reform

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 717-717
Author(s):  
Edward Miller ◽  
Pamela Nadash ◽  
Marc Cohen
Keyword(s):  
Affordable Care Act ◽  
Policy Development ◽  
State Level ◽  
Government Action ◽  
Policy Window ◽  
Adoption And Implementation ◽  
Opportunities For Learning ◽  
State Budgets ◽  
Services And Supports

Abstract This presentation documents the continuing failure to tackle the problem of financing long-term services and supports (LTSS)—a failure most recently seen in the only national legislation ever enacted to comprehensively address LTSS costs: the Community Living Assistance Services and Supports (CLASS) Act. The CLASS Act was included in the Affordable Care Act, but was repealed in 2013. Subsequently, policy experts and some Democrats have made proposals for addressing the LTSS financing crisis. Moreover, significant government action is taking place at the state level, both to relieve financial and emotional burdens on LTSS recipients and their families and to ease pressure on state budgets. Lessons from these initiatives could serve as opportunities for learning how to overcome roadblocks to successful policy development, adoption, and implementation across states and for traversing the policy and political tradeoffs should a policy window open once again for addressing the problem of LTSS financing nationally.

scholarly journals Sector Volatility Spillover and Economic Policy Uncertainty: Evidence from China’s Stock Market

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1411
Author(s):  
Xiaqing Su ◽  
Zhe Liu
Keyword(s):  
Economic Policy ◽  
Stock Market ◽  
Asset Allocation ◽  
Policy Uncertainty ◽  
Volatility Spillover ◽  
Economic Policy Uncertainty ◽  
Long Run ◽  
Transmission Structure ◽  
Long Term Impact

Following generalized variance decomposition, we identify the transmission structure of financial shock among ten sectors in China. Then, we examine whether economic policy uncertainty (EPU) affects it through GARCH-MIDAS regression. We find that consumer discretionary, industrials, and materials sectors are systemically important industries during the sample period. Further research of dynamic analysis shows that each sector acts in a time-varying role in this structure. The results of the GARCH-MIDAS regression indicate that none of the selected EPU indexes has a significant long-term impact on the total volatility spillover of the inter-sector stock market in China. However, the EPUs do affect some sectors’ spillover indexes in the long run, and they are significantly heterogeneous. This paper can provide regulatory suggestions for policymakers and reasonable asset allocation and risk avoidance methods for investors.

scholarly journals Chances and challenges of a long-term data repository in multiple sclerosis: 20th birthday of the German MS registry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lisa-Marie Ohle ◽  
David Ellenberger ◽  
Peter Flachenecker ◽  
Tim Friede ◽  
Judith Haas ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Sociodemographic Factors ◽  
Healthcare Research ◽  
Structure Design ◽  
Data Repository ◽  
Research Projects ◽  
Real World Data ◽  
Data Repositories ◽  
Term Data

AbstractIn 2001, the German Multiple Sclerosis Society, facing lack of data, founded the German MS Registry (GMSR) as a long-term data repository for MS healthcare research. By the establishment of a network of participating neurological centres of different healthcare sectors across Germany, GMSR provides observational real-world data on long-term disease progression, sociodemographic factors, treatment and the healthcare status of people with MS. This paper aims to illustrate the framework of the GMSR. Structure, design and data quality processes as well as collaborations of the GMSR are presented. The registry’s dataset, status and results are discussed. As of 08 January 2021, 187 centres from different healthcare sectors participate in the GMSR. Following its infrastructure and dataset specification upgrades in 2014, more than 196,000 visits have been recorded relating to more than 33,000 persons with MS (PwMS). The GMSR enables monitoring of PwMS in Germany, supports scientific research projects, and collaborates with national and international MS data repositories and initiatives. With its recent pharmacovigilance extension, it aligns with EMA recommendations and helps to ensure early detection of therapy-related safety signals.

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