Journal Data Policies: Are Croatian Journals Following Trends?

The aim of this work is to give an overview of recent developments of journal data sharing policies, with summary and examples of standardised guidelines for journal publishers. In addition, it examines the prevalence of journal data policies in Croatian journals and explores the content of these policies. To give an overview of the current state of data sharing policies, published articles that review existing journal data policies and develop model data policies or guidelines for journals were identified and examined. For the analysis of Croatian journals, data was collected from the Hrčak portal, using a software script for harvesting journal metadata and attached files from the portal. Searching for content related to data archiving through downloaded files was done using the following keywords: 'data', 'deposit', 'archiving', 'supplement', including Croatian variants and different grammar forms. The search process was facilitated by using software tools that extracted lines of text from source documents containing defined keywords, together with two lines of text above and below the position of keywords in the text as context. The script parses through documents and creates one file containing file name of the identified document and snippets of extracted text from that document. Created file is than manually examined to identify journals that have any content related to research data and eliminate content that is related to data in another context. A dataset is created which contains journal metadata and coded information about the content of the policy. Coding framework for the analysis of content related to research data in journal editorial documents was developed based on previous research (1, 2) and adapted for this analysis. Results and Discussion Recent studies (1, 2, 3) show lack of clear data sharing and transparency policies in the majority of journals. Where the policies were present, wide variety in quality of existing policies was found. This is an obstacle in the practice of data sharing, especially for the authors who need clear guidelines on how to deposit and make their data transparent and available for others to re-use. Standardisation of data policies could help journal editors and research funders to formulate clear mandates and recommendations that can influence the development of research transparency culture. Several attempts to develop a model data policies are identified in recent years, and the most prominent existing implementation guidelines for journals, publishers and funders are: Research data for journal editors by the Australian National Data Service(4), Transparency and Openness Promotion (TOP) Guidelines by the Center for Open Science(5), Research Data Policy Framework for all journals and publishers by Data policy standardisation and implementation Interest Group (IG) of the Research Data Alliance (RDA)(6), Journal Research Data Policy Model Framework by The Journal Research Data (JoRD) Project, funded by JISC (Joint Information Systems Committee)(2). These guidelines identify the key elements of a good data policy such as data citation, data repositories, data availability statements, data standards and formats, and peer review of research data. Although all of them attempt to establish standard features, they provide flexibility for adoption depending on disciplinary variation. In order to find out if Croatian journals are implementing and promoting data sharing policies, the analysis of data policies of Croatian journals was conducted. Preliminary results, based on a sample of editorial documents, show that around 15% of journals mention research data in their policy and guidance documents, whether the statement expresses only the general principle of research transparency or the statement is a requirement. Journals that explicitly mention data access and retention are usually referring to the outdated ALPSP-STM Statement on data and databases. Conclusion Data sharing is encouraged in contemporary research environment. Journals in the stage of planning to implement research data policy might find it very useful to consult existing guidelines and follow examples of good practice presented in this work. Some Croatian journals started to adopt basic data sharing policies and transparency principles, but often it is not clear how and if the existing policies are enforced

D6 Review of Zotero/Resource Directory as a Platform for the Tools Directory

This report delivers the results of the Subtask 3 of the CESSDA Agenda 21-24, Tasks 21-22, Cross Pillar Activities Task 1: CESSDA Resource Directory. Its main purpose is to review how fit the Zotero/Resource Directory is as a platform for the tools directory (TD), also taking into account outputs from other projects. In addition to the CESSDA Resource Directory (RD), five existing resource directory services were reviewed in order to discover similarities and differences between resources covered there and in the TD, to explore features that are available for management and discovery of these resources, and to assess if any of the existing services can be used for the needs of the tools directory. The results show that TD should be kept as a part of the RD because both have a similar purpose and the same audience, so this will enable the discovery of all relevant resources in one place. Also, in this way, there is no need to develop separate policies for tools; they can rather be included in general RD policies, as is now the case. The new CESSDA Web platform can potentially offer some or all desirable features for the tools directory

Research data and academic libraries

U radu se govori o ulozi visokoškolskih knjižnica u kontekstu otvorene zna-nosti, posebno u razvoju usluga podrške istraživačima, nastavnicima i studentima pri upravljanju i objavljivanju te ponovnom korištenju istraživačkih podataka. S obzirom na to da se istraživački podaci u knjižnicama mogu smatrati novom vrstom građe, iznose se postojeće definicije pojmova koji se odnose na istraživačke podatke te se razmatra koliko se usluge koje se tiču istraživačkih podataka mogu smatrati proširenjem tradici-onalnih knjižničnih usluga, a u kolikoj su to mjeri sasvim nove usluge koje zahtijevaju i nove vještine i znanja. Visokoškolske knjižnice, prateći promjene u znanstvenom okruženju te nove potrebe i zahtjeve svojih korisnika, trebale bi razvijati nove usluge podrške u pro-cesima upravljanja i korištenja istraživačkim podacima. Neke od tih usluga jednostavno su proširenje uobičajenih zadaća informacijske službe na podatke kao vrstu građe (npr. tematska pretraživanja, informacije o citiranju), dok je za druge potrebno razvijati nove vještine i znanja knjižničara. Također je neophodna suradnja unutar knjižnice i s drugim službama u vlastitoj ustanovi, kao i s drugim ustanovama koje se bave istraživačkim podacima, naročito s arhivima podatka.Prema preporukama iznesenim u radu, visokoškolske knjižni-ce mogu u svoje strategije, planove i prakse uvrstiti i neke od usluga koje se tiču istraži-vačkih podataka, ovisno o potrebama i raspoloživim resursim

Journal Data Policies: Are Croatian Journals Following Trends?

The aim of this work is to give an overview of recent developments of journal data sharing policies, with summary and examples of standardised guidelines for journal publishers. In addition, it examines the prevalence of journal data policies in Croatian journals and explores the content of these policies. To give an overview of the current state of data sharing policies, published articles that review existing journal data policies and develop model data policies or guidelines for journals were identified and examined. For the analysis of Croatian journals, data was collected from the Hrčak portal, using a software script for harvesting journal metadata and attached files from the portal. Searching for content related to data archiving through downloaded files was done using the following keywords: 'data', 'deposit', 'archiving', 'supplement', including Croatian variants and different grammar forms. The search process was facilitated by using software tools that extracted lines of text from source documents containing defined keywords, together with two lines of text above and below the position of keywords in the text as context. The script parses through documents and creates one file containing file name of the identified document and snippets of extracted text from that document. Created file is than manually examined to identify journals that have any content related to research data and eliminate content that is related to data in another context. A dataset is created which contains journal metadata and coded information about the content of the policy. Coding framework for the analysis of content related to research data in journal editorial documents was developed based on previous research (1, 2) and adapted for this analysis. Results and Discussion Recent studies (1, 2, 3) show lack of clear data sharing and transparency policies in the majority of journals. Where the policies were present, wide variety in quality of existing policies was found. This is an obstacle in the practice of data sharing, especially for the authors who need clear guidelines on how to deposit and make their data transparent and available for others to re-use. Standardisation of data policies could help journal editors and research funders to formulate clear mandates and recommendations that can influence the development of research transparency culture. Several attempts to develop a model data policies are identified in recent years, and the most prominent existing implementation guidelines for journals, publishers and funders are: Research data for journal editors by the Australian National Data Service(4), Transparency and Openness Promotion (TOP) Guidelines by the Center for Open Science(5), Research Data Policy Framework for all journals and publishers by Data policy standardisation and implementation Interest Group (IG) of the Research Data Alliance (RDA)(6), Journal Research Data Policy Model Framework by The Journal Research Data (JoRD) Project, funded by JISC (Joint Information Systems Committee)(2). These guidelines identify the key elements of a good data policy such as data citation, data repositories, data availability statements, data standards and formats, and peer review of research data. Although all of them attempt to establish standard features, they provide flexibility for adoption depending on disciplinary variation. In order to find out if Croatian journals are implementing and promoting data sharing policies, the analysis of data policies of Croatian journals was conducted. Preliminary results, based on a sample of editorial documents, show that around 15% of journals mention research data in their policy and guidance documents, whether the statement expresses only the general principle of research transparency or the statement is a requirement. Journals that explicitly mention data access and retention are usually referring to the outdated ALPSP-STM Statement on data and databases. Conclusion Data sharing is encouraged in contemporary research environment. Journals in the stage of planning to implement research data policy might find it very useful to consult existing guidelines and follow examples of good practice presented in this work. Some Croatian journals started to adopt basic data sharing policies and transparency principles, but often it is not clear how and if the existing policies are enforced

D1 CESSDA Resource Directory Policy and Development Strategy

2022 marked the fourth anniversary of the CESSDA Resource Directory (RD). Since 2018, the RD team members have gained experience and knowledge about the service and curation process and the RD has grown both in quantity and in quality. This deliverable thus answers a need to formalise the RD’s collection development policy and the curation process created and followed by the RD editors. It also suggests different developments for the RD and proposes a maintenance strategy to foster its sustainability

Koha 2: revizija knjižne građe Fakulteta elektrotehnike i računarstva Sveučilišta u Zagrebu

Cilj je ovog rada predočiti kompleksnost provođenja revizije knjižne građe jedne visokoškolske ustanove. Tek nakon što je 2011. godine knjižnični program Koha uspješno implementiran u knjižnično poslovanje Knjižničnog sustava Fakulteta elektrotehnike i računarstva u Zagrebu, po prvi je put u 50 godina postojanja Središnje knjižnice Fakulteta provedena revizija monografskih publikacija u toj ustanovi. Naime knjižnični sustav FER-a čine Središnja knjižnica Fakulteta i 12 zavodskih knjižnica. Zavodske zbirke literature, kao nezaobilazan segment praćenja znanstveno-nastavne djelatnosti pojedinog zavoda, stvarane su desetljećima, dok je fond Središnje knjižnice fokusiran uglavnom na potrebe studenata. Uz raznovrsnost građe, kroz godine postojanja Fakul- teta, javlja se i problem nekoordiniranosti u nabavi, pa tako i u obradi građe, što rezul- tira izuzetno kompleksnim i dugotrajnim procesom provođenja revizije. Rad donosi pregled čitavog revizijskog postupka te daje detaljan opis programskih karakteristika knjižničnog sustava koji je omogućio provođenje istog

Guide for National Planning for Setting Up New Data Services

This guide aims to assist interested actors or country teams in developing plans for establishing national data services in the social sciences. The guide helps country teams to include in their plans a mission statement, a governance structure, a description of areas of competence and infrastructure that need to be strengthened, as well as a description of future needs and necessary resources for setting up and maintaining viable data services