Research Data Policy and Statement of Data Availability

The Journal of the Serbian Chemical Society (JSCS) is encouraging the exchange of research data  within the scientific community. Submission of the paper to JSCS allows materials described in the manuscript, including all relevant experimental and other raw data, should be freely available to any researcher who wishes to use them for non-commercial purposes. This availability will not compromise the author's confidential personal information.

The journal encourages that all supporting data sets and the results, which were used for discussion and making conclusions in the presented paper,  should be available to readers. We strongly support authors to deposits their datasets in free available repositories (where it is appropriate) or provide them as Supplementary Material or supplementary files (Dataset) whenever possible.

 

Data Policy

General repositories (for all types of research data) such as Figshare (https://figshare.com) and Dryad (https://datadryad.org) can be used where appropriate. The datasets assigned a Digital Object Identifier (DOI) in the Repository have to be cited in the article's reference list. Such a citation must contain the minimum information recommended by DataCite (https://datacite.org): Authors, Title, Publisher (name of the repository), DOI.

List of recommended repositories

Chemistry and related fields:
Beilstein-Institut, STRENDA
caNanoLab
ChEMBL
Crystallography Open Database (COD)
ioChem-BD Computational Chemistry Datasets
NCBI PubChem BioAssay
NCBI PubChem Substance
PubChem

Geochemistry and environmental chemistry
PANGAEA
National Tibetan Plateau/Third Pole Environment Data Center
NOAA National Centers for Environmental Information
Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)
EarthChem
Environment Data Initiative

Materials science
NOMAD Repository
Materials Cloud

General repositories
Dryad Digital Repository
Figshare
Harvard Dataverse
Open Science Framework
Science Data Bank
Zenodo

 

Statement of Data Availability

The authors should provide a statement of data availability in their manuscript. Data availability statements have to include information about the accessibility of supporting data generated during the research , including corresponding links to publicly archived datasets (where it is applicable). Data availability statements  should include information about the availability of  data upon request, or an appropriate explanation of why the data are not available. Data availability statements may take one of the following forms or a combination thereof, in the case of multiple data sets:

1. The datasets or corresponding analyses generated during this research are available in the [NAME] repository, [link to DATASETS provided]
2. The datasets and corresponding analyses generated during this research are not publicly available due to [REASON WHY THE DATA IS NOT PUBLIC] but are available from the authors for correspondence upon request.
3. The datasets and corresponding analyses generated during this research are available from the corresponding author upon request.
4. All data or corresponding analyses generated during this research are included in Supplementary Material and/or Data Sets

In the case of multiple types of data or formats, authors should choose one of the available repositories and organise all files into a single zip archive which will be linked to the main paper.

 

Where there is a strong expectation from the research community to archive data in public repositories, submission to public repositories is highly desirable. The paper must then provide permanent identifiers (DOIs or similar) for the relevant datasets.

Highly desirable deposit for:	Acceptable repositories
Spectral data: ·  Copies of the corresponding spectra (UV-Vis, NMR, IR, MS) ·   HPLC and TLC chromatograms ·   Files and 3D structures generated during molecular docking/modeling (*.pdb or *.mol file format) ·   Large table sheets generated during acquisition or data processing	MassIVE (https://massive.ucsd.edu/ ProteoSAFe/static/massive.jsp)
Crystallographic data	Cambridge Structural Database https://www.ccdc.cam.ac.uk/deposit) Crystallography Open Database (http://www.crystallography.net)
Macromolecular structure	wwPDB (http://www.wwpdb.org) EMDB (https://www.ebi.ac.uk/emdb)
Microarray data	ArrayExpress (https://www.ebi.ac.uk/biostudies/arrayexpress)
Protein sequences	Uniprot (https://www.uniprot.org)
DNA and RNA sequences*	Genbank https://www.ncbi.nlm.nih.gov/genbank) DNA DataBank of Japan (https://www.ddbj.nig.ac.jp) ENA (https://www.ebi.ac.uk/ena/browser/home)
DNA and RNA sequencing data*	NCBI Trace Archive (https://www.ncbi.nlm.nih.gov/sra) NCBI SRA (https://www.ncbi.nlm.nih.gov/sra/docs)
Genetic polymorphisms*	dbSNP (https://www.ncbi.nlm.nih.gov/snp) EVA (https://www.ebi.ac.uk/eva)
Linked genotype and phenotype data*	dbGAP (https://www.ncbi.nlm.nih.gov/gap/) EGA (https:// ega-archive.org)

*Although genetic research is not within the scope of JSCS, if it is a part of the research described in the paper, we strongly support depositing these experimental results in the mentioned repositories.