Data-driven software is becoming prevalent, especially with the advent of machine learning and artificial intelligence. With data-driven systems come both challenges - to keep collecting and maintaining high quality data - and opportunities - open innovation by sharing data with others. We propose Open Data Collaboration (ODC) to describe pecuniary and non-pecuniary sharing of open data, similar to Open Source Software (OSS) and in contrast to Open Government Data (OGD), where public authorities share data. To understand challenges and opportunities with ODC, we organized five focus groups with in total 27 practitioners from 22 companies, public organizations, and research institutes. In the discussions, we observed a general interest in the subject, both from private companies and public authorities. We also noticed similarities in attitudes to open innovation practices, i.e. initial resistance which gradually turned into interest. While several of the participants were experienced in open source software, no had shared data openly. Based on the findings, we identify challenges which we set out to continue addressing in future research.
Software systems are increasingly depending on data, particularly with the rising use of machine learning, and developers are looking for new sources of data. Open Data Ecosystems (ODE) is an emerging concept for data sharing under public licenses in software ecosystems, similar to Open Source Software (OSS). It has certain similarities to Open Government Data (OGD), where public agencies share data for innovation and transparency.We aimed to explore open data ecosystems involving commercial actors. Thus, we organized five focus groups with 27 practitioners from 22 companies, public organizations, and research institutes. Based on the outcomes, we surveyed three cases of emerging ODE practice to further understand the concepts and to validate the initial findings. The main outcome is an initial conceptual model of ODEs' value, intrinsics, governance, and evolution, and propositions for practice and further research.We found that ODE must be value driven. Regarding the intrinsics of data, we found their type, meta-data, and legal frameworks influential for their openness. We also found the characteristics of ecosystem initiation, organization, data acquisition and openness be differentiating, which we advise research and practice to take into consideration.
Software engineering is at the core of the digitalization of society. Ill-informed decisions can have major consequences, as made evident in the 2017 government crisis in Sweden, originating in a data breach caused by an outsourcing deal made by the Swedish Transport Agency. Many Government Agencies (GovAgs) in Sweden are rapidly undergoing a digital transition, thus it is important to overview how widespread, and mature, software development is in this part of the public sector. We present a software development census of Swedish GovAgs, complemented by document analysis and a survey. We show that 39.2% of the GovAgs develop software internally, some matching the number of developers in large companies. Our findings suggest that the development largely resembles private sector counterparts, and that established best practices are implemented. Still, we identify improvement potential in the areas of strategic sourcing, openness, collaboration across GovAgs, and quality requirements. The Swedish Government has announced the establishment of a new digitalization agency next year, and our hope is that the software engineering community will contribute its expertise with a clear voice.
Software engineering is at the core of the digitalization of society. Ill-informed decisions can have major consequences, as made evident in the 2017 government crisis in Sweden, originating in a data breach caused by an outsourcing deal made by the Swedish Transport Agency. Many Government Agencies (GovAgs) in Sweden are rapidly undergoing a digital transition, thus it is important to overview how widespread, and mature, software development is in this part of the public sector. We present a software development census of Swedish GovAgs, complemented by document analysis and a survey. We show that 39.2% of the GovAgs develop software internally, some matching the number of developers in large companies. Our findings suggest that the development largely resembles private sector counterparts, and that established best practices are implemented. Still, we identify improvement potential in the areas of strategic sourcing, openness, collaboration across GovAgs, and quality requirements. The Swedish Government has announced the establishment of a new digitalization agency next year, and our hope is that the software engineering community will contribute its expertise with a clear voice.
An online survey of 200 participants was conducted on the experiences of sharing material and immaterial artifacts, focusing on interaction with non-media content types. The survey included six categories of sharing: music preferences, travel plans, sports activities, apartments and vehicles, virtual items in online games, and dietary preferences. The study identified factors that motivate participation in content-mediated interaction: discovery, curating self, connectedness, collaboration, enjoyment, and instrumental motivations, as a set of six motivating factors driving contemporary sharing practices. The authors consolidated findings from earlier work on motivations to share personal content, validating the set of motivating factors with the six selected non-media types of content. The results suggest that both extrinsic and intrinsic motivations affect content sharing practices. Furthermore, motivating factors were mapped to the reported positive and negative experiences, in order to understand their relation and to discuss their capacity to guide user experience design.
Uutisten verkkokommentoinnin kielteistä ilmapiiriä ja asiattomia kommentteja pidetään vakavana, julkisen keskustelun laatua heikentävänä ongelmana. Keskustelujen moderointia pidetään yleisesti hyvänä tapana puuttua asiattomuuksiin, mutta sen nykyiset keinot koetaan riittämättömiksi, olipa kyse tietokoneohjelmista tai ihmisten tekemästä moderointityöstä. Artikkelissa esittelemme uutiskommenttien moderointia käsittelevää aikaisempaa tutkimusta sekä tarkastelemme aihetta empiirisesti analysoimalla viittä eri mediataloa edustavan suomalaisen media-alan ammattilaisen näkemyksiä ja kokemuksia verkkokommenttien moderoinnista, keskittyen erityisesti kommenteissa esiintyvien tunteiden rooliin. Analyysin pohjalta kommenteista ja niiden moderoinnista piirtyy ristiriitainen kuva. Yhtäältä kommentteja arvostetaan yleisön osallistumisen muotona ja niiden tunnesisällön koetaan lisäävän keskustelun vetovoimaa. Toisaalta moderointi koetaan vaivalloisena ja journalistisesta perustyöstä erillisenä tehtävänä ja kommentit liian negatiivisina. Myös moderoinnin ja journalismin vaaliman ilmaisunvapauden suhde näyttäytyy jännitteisenä. Tietokoneavusteinen moderointi puolestaan koetaan hyödylliseksi, mutta sitä pidetään myös epätarkkana. Näitä havaintoja vasten pohdimme, millaista uutiskommenttien moderointi voisi tulevaisuudessa olla suomalaisella mediakentällä. Esitämme, että tehokkuutta tavoittelevan moderoinnin lisäksi käytössä olisi hyvä olla keinoja, jotka tarttuvat asiattomaan kommentoitiin pehmeämmin kuin sisältöä poistamalla.
Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which particular gene(s) are relevant continues to be a challenge. Here, we conduct a cell-specific pathway analysis of the latest GWAS in multiple sclerosis (MS), which had analyzed a total of 47,351 cases and 68,284 healthy controls and found more than 200 non-MHC genome-wide associations. Our analysis identifies pan immune cell as well as cell-specific susceptibility genes in T cells, B cells and monocytes. Finally, genotype-level data from 2,370 patients and 412 controls is used to compute intra-individual and cell-specific susceptibility pathways that offer a biological interpretation of the individual genetic risk to MS. This approach could be adopted in any other complex trait for which genome-wide data is available. ; This investigation was supported in part by the following sources: NIH/NINDS awards R01NS088155 and 1R01NS099240, the Valhalla Charitable Foundation, and the Heidrich Family and Friends Foundation (Sergio E. Baranzini). US National Multiple Sclerosis Society (TA 3056-A-2), the Harvard NeuroDiscovery Center and an Intel Parallel Computing Center award (Nikolaos A. Patsopoulos). Swedish Medical Research Council; Swedish Research Council for Health, Working Life and Welfare, Knut and Alice Wallenberg Foundation, AFA insurance, Swedish Brain Foundation, the Swedish Association for Persons with Neurological Disabilities. Cambridge NIHR Biomedical Research Centre, UK Medical Research Council (G1100125) and the UK MS society (861/07). NIH/NINDS: R01 NS049477, NIH/NIAID: R01 AI059829, NIH/NIEHS: R01 ES0495103. Research Council of Norway grant 196776 and 240102. NINDS/NIH R01NS088155. Oslo MS association. Research Council KU Leuven, Research Foundation Flanders. AFM, AFM-Généthon, CIC, ARSEP, ANR-10-INBS-01 and ANR-10-IAIHU-06. Research Council KU Leuven, Research Foundation Flanders. Inserm ATIP-Avenir Fellowship and Connect-Talents Award. German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Oslo MS association, Research Council of Norway grant 196776 and 240102. Dutch MS Research Foundation. TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London. German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Italian Foundation of Multiple Sclerosis (FISM). NMSS (RG 4680A1/1). German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Lundbeck Foundation and Benzon Foundation. ; updatedVersion
