| 1. |
- Bennich, Therese, 1989-, et al.
(författare)
-
Deciphering the scientific literature on SDG interactions : A review and reading guide
- 2020
-
Ingår i: Science of the Total Environment. - : Elsevier BV. - 0048-9697 .- 1879-1026. ; 728
-
Forskningsöversikt (refereegranskat)abstract
- The 2030 Agenda includes 17 overarching Sustainable Development Goals (SDGs). These are integrated in nature, and a principle of indivisibility should guide their implementation. Yet, the 2030 Agenda itself does not provide guidance on what indivisibility means in practice, how the SDGs interact, or on how to assess these interactions. The fast-emerging field of what could be referred to as SDG interaction studies seeks to provide such guidance, but as of yet there is no general agreement on what it means to take an integrated approach to the SDGs. Hence, navigating the diverse research landscape on SDG interactions might prove challenging. This paper aims to decipher the literature on SDG interactions by providing an overview of the current research, based on a sample of 70 peer-reviewed articles. The review explores four themes in SDG interaction research by mapping: (i) policy challenges typically addressed, (ii) ways in which SDG ‘interactions’ have been conceptualized, (iii) data sources used, and (iv) methods of analysis frequently employed. Research gaps are identified, where perspectives largely missing include policy innovation, and integrated monitoring and evaluation. Further, few studies consider actor interactions, account for geographic spill-overs, analyze SDG indicator interactions, employ participatory methods, or take a whole-systems approach to the 2030 Agenda. Failing to address these gaps could lead to inefficient SDG implementation and delay goal attainment. Another contribution of the paper is a reading guide, proposing a way to decipher the literature along the themes emerging from the review, and offering a structure to code future papers.
|
|
| 2. |
- Bousquet, Jean, et al.
(författare)
-
ARIA digital anamorphosis : Digital transformation of health and care in airway diseases from research to practice
- 2021
-
Ingår i: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 76:1, s. 168-190
-
Forskningsöversikt (refereegranskat)abstract
- Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
|
|
| 3. |
- Lindahl, Björn, et al.
(författare)
-
Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide
- 2013
-
Ingår i: New Phytologist. - : Wiley. - 0028-646X .- 1469-8137. ; 199:1, s. 288-299
-
Forskningsöversikt (refereegranskat)abstract
- * Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs. * Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions. * Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification. * Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions.
|
|
